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You searched for subject:(RNN). Showing records 1 – 30 of 95 total matches.

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Oregon State University

1. Moore, Christopher (Chistopher Emory). A recurrent neural network implementation using the graphics processing unit.

Degree: MS, Computer Science, 2009, Oregon State University

 We took the back-propagation algorithms of Werbos for recurrent and feed-forward neural networks and implemented them on machines with graphics processing units (GPU). The parallelism… (more)

Subjects/Keywords: rnn; Neural networks (Computer science)

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APA (6th Edition):

Moore, C. (. E. (2009). A recurrent neural network implementation using the graphics processing unit. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/13658

Chicago Manual of Style (16th Edition):

Moore, Christopher (Chistopher Emory). “A recurrent neural network implementation using the graphics processing unit.” 2009. Masters Thesis, Oregon State University. Accessed September 20, 2020. http://hdl.handle.net/1957/13658.

MLA Handbook (7th Edition):

Moore, Christopher (Chistopher Emory). “A recurrent neural network implementation using the graphics processing unit.” 2009. Web. 20 Sep 2020.

Vancouver:

Moore C(E. A recurrent neural network implementation using the graphics processing unit. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1957/13658.

Council of Science Editors:

Moore C(E. A recurrent neural network implementation using the graphics processing unit. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/13658


Georgia Tech

2. Saroj, Abhilasha Jairam. DEVELOPMENT OF A REAL-TIME CONNECTED CORRIDOR DATA-DRIVEN DIGITAL TWIN AND DATA IMPUTATION METHODS.

Degree: PhD, Civil and Environmental Engineering, 2020, Georgia Tech

 Smart cities  – equipped with connected infrastructure  – receive significant real-time traffic data. The simulation platform developed in this research leverages these high-frequency connected data… (more)

Subjects/Keywords: Smart City; Connected Corridor; Digital Twin; Traffic Simulation; RNN; LSTM RNN

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APA (6th Edition):

Saroj, A. J. (2020). DEVELOPMENT OF A REAL-TIME CONNECTED CORRIDOR DATA-DRIVEN DIGITAL TWIN AND DATA IMPUTATION METHODS. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63642

Chicago Manual of Style (16th Edition):

Saroj, Abhilasha Jairam. “DEVELOPMENT OF A REAL-TIME CONNECTED CORRIDOR DATA-DRIVEN DIGITAL TWIN AND DATA IMPUTATION METHODS.” 2020. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2020. http://hdl.handle.net/1853/63642.

MLA Handbook (7th Edition):

Saroj, Abhilasha Jairam. “DEVELOPMENT OF A REAL-TIME CONNECTED CORRIDOR DATA-DRIVEN DIGITAL TWIN AND DATA IMPUTATION METHODS.” 2020. Web. 20 Sep 2020.

Vancouver:

Saroj AJ. DEVELOPMENT OF A REAL-TIME CONNECTED CORRIDOR DATA-DRIVEN DIGITAL TWIN AND DATA IMPUTATION METHODS. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1853/63642.

Council of Science Editors:

Saroj AJ. DEVELOPMENT OF A REAL-TIME CONNECTED CORRIDOR DATA-DRIVEN DIGITAL TWIN AND DATA IMPUTATION METHODS. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63642


University of Sydney

3. Billingsley, Richard John. Deep Learning for Semantic and Syntactic Structures .

Degree: 2014, University of Sydney

 Deep machine learning has enjoyed recent success in vision and speech-to-text tasks, using deep multi-layered neural networks. They have obtained remarkable results particularly where the… (more)

Subjects/Keywords: Deep-learning; parsing; rnn; recursive neural network

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APA (6th Edition):

Billingsley, R. J. (2014). Deep Learning for Semantic and Syntactic Structures . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/12825

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Billingsley, Richard John. “Deep Learning for Semantic and Syntactic Structures .” 2014. Thesis, University of Sydney. Accessed September 20, 2020. http://hdl.handle.net/2123/12825.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Billingsley, Richard John. “Deep Learning for Semantic and Syntactic Structures .” 2014. Web. 20 Sep 2020.

Vancouver:

Billingsley RJ. Deep Learning for Semantic and Syntactic Structures . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2123/12825.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Billingsley RJ. Deep Learning for Semantic and Syntactic Structures . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/12825

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

4. Liu, Chang. Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes.

Degree: Computer Science and Communication (CSC), 2016, KTH

  Nowadays, the ideas of continuous integration and continuous delivery are under heavy usage in order to achieve rapid software development speed and quick product… (more)

Subjects/Keywords: Data analysis; Log analysis; RNN; Naive Bayes

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APA (6th Edition):

Liu, C. (2016). Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liu, Chang. “Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes.” 2016. Thesis, KTH. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liu, Chang. “Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes.” 2016. Web. 20 Sep 2020.

Vancouver:

Liu C. Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes. [Internet] [Thesis]. KTH; 2016. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu C. Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. Vikström, Filip. A recurrent neural network approach to quantification of risks surrounding the Swedish property market.

Degree: Mathematics and Mathematical Statistics, 2016, Umeå University

  As the real estate market plays a central role in a countries financial situation, as a life insurer, a bank and a property developer,… (more)

Subjects/Keywords: Artificial neural networks; Machine learning; RNN

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vikström, F. (2016). A recurrent neural network approach to quantification of risks surrounding the Swedish property market. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vikström, Filip. “A recurrent neural network approach to quantification of risks surrounding the Swedish property market.” 2016. Thesis, Umeå University. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vikström, Filip. “A recurrent neural network approach to quantification of risks surrounding the Swedish property market.” 2016. Web. 20 Sep 2020.

Vancouver:

Vikström F. A recurrent neural network approach to quantification of risks surrounding the Swedish property market. [Internet] [Thesis]. Umeå University; 2016. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vikström F. A recurrent neural network approach to quantification of risks surrounding the Swedish property market. [Thesis]. Umeå University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

6. Godard, Pierre. RNN-based sequence prediction as an alternative or complement to traditional recommender systems.

Degree: Computer Science and Communication (CSC), 2017, KTH

The recurrent neural networks have the ability to grasp the temporal patterns withinthe data. This is a property that can be used in order… (more)

Subjects/Keywords: rnn recommender system; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Godard, P. (2017). RNN-based sequence prediction as an alternative or complement to traditional recommender systems. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Godard, Pierre. “RNN-based sequence prediction as an alternative or complement to traditional recommender systems.” 2017. Thesis, KTH. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Godard, Pierre. “RNN-based sequence prediction as an alternative or complement to traditional recommender systems.” 2017. Web. 20 Sep 2020.

Vancouver:

Godard P. RNN-based sequence prediction as an alternative or complement to traditional recommender systems. [Internet] [Thesis]. KTH; 2017. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216584.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Godard P. RNN-based sequence prediction as an alternative or complement to traditional recommender systems. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216584

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Ottawa

7. Tao, Yanjie. Innovative Approaches for Short-Term Vehicular Volume Prediction In Intelligent Transportation System .

Degree: 2020, University of Ottawa

 Accurate and timely short-term traffic flow predictions can provide useful traffic volume information beforehand and help people make better route decisions, which plays a vital… (more)

Subjects/Keywords: ITS; Traffic flow prediction; RNN; VARIMA

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APA (6th Edition):

Tao, Y. (2020). Innovative Approaches for Short-Term Vehicular Volume Prediction In Intelligent Transportation System . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/40441

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tao, Yanjie. “Innovative Approaches for Short-Term Vehicular Volume Prediction In Intelligent Transportation System .” 2020. Thesis, University of Ottawa. Accessed September 20, 2020. http://hdl.handle.net/10393/40441.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tao, Yanjie. “Innovative Approaches for Short-Term Vehicular Volume Prediction In Intelligent Transportation System .” 2020. Web. 20 Sep 2020.

Vancouver:

Tao Y. Innovative Approaches for Short-Term Vehicular Volume Prediction In Intelligent Transportation System . [Internet] [Thesis]. University of Ottawa; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10393/40441.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tao Y. Innovative Approaches for Short-Term Vehicular Volume Prediction In Intelligent Transportation System . [Thesis]. University of Ottawa; 2020. Available from: http://hdl.handle.net/10393/40441

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Zhang, Liang. Incorporating Rich Features into Deep Knowledge Tracing.

Degree: MS, 2017, Worcester Polytechnic Institute

 The desire to follow student learning within intelligent tutoring systems in near real time has led to the development of several models anticipating the correctness… (more)

Subjects/Keywords: DKT; RNN; Knowledge tracing; Deep learning

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APA (6th Edition):

Zhang, L. (2017). Incorporating Rich Features into Deep Knowledge Tracing. (Thesis). Worcester Polytechnic Institute. Retrieved from etd-041417-091804 ; https://digitalcommons.wpi.edu/etd-theses/207

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Liang. “Incorporating Rich Features into Deep Knowledge Tracing.” 2017. Thesis, Worcester Polytechnic Institute. Accessed September 20, 2020. etd-041417-091804 ; https://digitalcommons.wpi.edu/etd-theses/207.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Liang. “Incorporating Rich Features into Deep Knowledge Tracing.” 2017. Web. 20 Sep 2020.

Vancouver:

Zhang L. Incorporating Rich Features into Deep Knowledge Tracing. [Internet] [Thesis]. Worcester Polytechnic Institute; 2017. [cited 2020 Sep 20]. Available from: etd-041417-091804 ; https://digitalcommons.wpi.edu/etd-theses/207.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang L. Incorporating Rich Features into Deep Knowledge Tracing. [Thesis]. Worcester Polytechnic Institute; 2017. Available from: etd-041417-091804 ; https://digitalcommons.wpi.edu/etd-theses/207

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade do Rio Grande do Norte

9. Sousa Filho, José Francisco de. Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN .

Degree: 2014, Universidade do Rio Grande do Norte

 The aim of this study is to characterize and evaluate the Macro System of Regional Water Distribution Natal North (RNN) and Southern Regional Natal (RNS),… (more)

Subjects/Keywords: Macro sistema. RNN. RNS. Balanço hídrico. Epanet. Abastecimento; Macro system. RNN. RNS. Water balance. EPANET. Supply

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APA (6th Edition):

Sousa Filho, J. F. d. (2014). Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/16014

Chicago Manual of Style (16th Edition):

Sousa Filho, José Francisco de. “Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN .” 2014. Masters Thesis, Universidade do Rio Grande do Norte. Accessed September 20, 2020. http://repositorio.ufrn.br/handle/123456789/16014.

MLA Handbook (7th Edition):

Sousa Filho, José Francisco de. “Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN .” 2014. Web. 20 Sep 2020.

Vancouver:

Sousa Filho JFd. Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2014. [cited 2020 Sep 20]. Available from: http://repositorio.ufrn.br/handle/123456789/16014.

Council of Science Editors:

Sousa Filho JFd. Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN . [Masters Thesis]. Universidade do Rio Grande do Norte; 2014. Available from: http://repositorio.ufrn.br/handle/123456789/16014


Universidade do Rio Grande do Norte

10. Sousa Filho, José Francisco de. Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN .

Degree: 2014, Universidade do Rio Grande do Norte

 The aim of this study is to characterize and evaluate the Macro System of Regional Water Distribution Natal North (RNN) and Southern Regional Natal (RNS),… (more)

Subjects/Keywords: Macro sistema. RNN. RNS. Balanço hídrico. Epanet. Abastecimento; Macro system. RNN. RNS. Water balance. EPANET. Supply

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APA (6th Edition):

Sousa Filho, J. F. d. (2014). Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN . (Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/16014

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sousa Filho, José Francisco de. “Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN .” 2014. Thesis, Universidade do Rio Grande do Norte. Accessed September 20, 2020. http://repositorio.ufrn.br/handle/123456789/16014.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sousa Filho, José Francisco de. “Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN .” 2014. Web. 20 Sep 2020.

Vancouver:

Sousa Filho JFd. Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2014. [cited 2020 Sep 20]. Available from: http://repositorio.ufrn.br/handle/123456789/16014.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sousa Filho JFd. Caracterização e avaliação do macro sistema urbano de distribuição de água de Natal RN . [Thesis]. Universidade do Rio Grande do Norte; 2014. Available from: http://repositorio.ufrn.br/handle/123456789/16014

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

11. Dvonč, Tomáš. Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection.

Degree: 2020, Brno University of Technology

 This diploma thesis describes methods suitable for automatic detection of events from video sequences focused on football matches. The first part of the work is… (more)

Subjects/Keywords: futbal; rozpoznávanie akcie; hlboké učenie; 2D; 3D; CNN; RNN; tensorflow; football; action recognition; deep learning; 2D; 3D; CNN; RNN; tensorflow

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dvonč, T. (2020). Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189125

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dvonč, Tomáš. “Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection.” 2020. Thesis, Brno University of Technology. Accessed September 20, 2020. http://hdl.handle.net/11012/189125.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dvonč, Tomáš. “Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection.” 2020. Web. 20 Sep 2020.

Vancouver:

Dvonč T. Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11012/189125.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dvonč T. Automatická detekce událostí ve fotbalových zápasech: An automatic football match event detection. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189125

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Le, Hoang Anh. Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí: Holistic License Plate Recognition Based on Convolution Neural Networks.

Degree: 2019, Brno University of Technology

 Main goal of this work was to create a holistic license plate reader, with an emphasis on achieving the highest possible accuracy on low quality… (more)

Subjects/Keywords: registrační značka; strojové učení; CNN; RNN; OCR; LSTM; CTC; license plate; machine learning; CNN; RNN; OCR; LSTM; CTC

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Le, H. A. (2019). Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí: Holistic License Plate Recognition Based on Convolution Neural Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Le, Hoang Anh. “Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí: Holistic License Plate Recognition Based on Convolution Neural Networks.” 2019. Thesis, Brno University of Technology. Accessed September 20, 2020. http://hdl.handle.net/11012/180111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Le, Hoang Anh. “Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí: Holistic License Plate Recognition Based on Convolution Neural Networks.” 2019. Web. 20 Sep 2020.

Vancouver:

Le HA. Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí: Holistic License Plate Recognition Based on Convolution Neural Networks. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11012/180111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Le HA. Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí: Holistic License Plate Recognition Based on Convolution Neural Networks. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Leblond, Rémi. Asynchronous optimization for machine learning : Optimisation asynchrone pour l'apprentissage statistique.

Degree: Docteur es, Mathématiques, 2018, Paris Sciences et Lettres

Les explosions combinées de la puissance computationnelle et de la quantité de données disponibles ont fait des algorithmes les nouveaux facteurs limitants en machine learning.… (more)

Subjects/Keywords: Optimisation; Parallélisation; Réduction de variance; Prédiction structurée; RNN; Optimization; Parallelization; Variance reduction; Structured prediction; RNN; 006.3

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APA (6th Edition):

Leblond, R. (2018). Asynchronous optimization for machine learning : Optimisation asynchrone pour l'apprentissage statistique. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2018PSLEE057

Chicago Manual of Style (16th Edition):

Leblond, Rémi. “Asynchronous optimization for machine learning : Optimisation asynchrone pour l'apprentissage statistique.” 2018. Doctoral Dissertation, Paris Sciences et Lettres. Accessed September 20, 2020. http://www.theses.fr/2018PSLEE057.

MLA Handbook (7th Edition):

Leblond, Rémi. “Asynchronous optimization for machine learning : Optimisation asynchrone pour l'apprentissage statistique.” 2018. Web. 20 Sep 2020.

Vancouver:

Leblond R. Asynchronous optimization for machine learning : Optimisation asynchrone pour l'apprentissage statistique. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2018. [cited 2020 Sep 20]. Available from: http://www.theses.fr/2018PSLEE057.

Council of Science Editors:

Leblond R. Asynchronous optimization for machine learning : Optimisation asynchrone pour l'apprentissage statistique. [Doctoral Dissertation]. Paris Sciences et Lettres; 2018. Available from: http://www.theses.fr/2018PSLEE057


KTH

14. Jablecka, Marta. Modelling CLV in the Insurance Industry Using Deep Learning Methods.

Degree: Mathematical Statistics, 2020, KTH

This paper presents a master’s thesis project in which deep learning methods are used to both calculate and subsequently attempt to maximize Customer Lifetime… (more)

Subjects/Keywords: Insurance; CLV; RNN; LSTM; GRU; DQL; Försäkring; CLV; RNN; LSTM; GRU; DQL; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jablecka, M. (2020). Modelling CLV in the Insurance Industry Using Deep Learning Methods. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273607

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jablecka, Marta. “Modelling CLV in the Insurance Industry Using Deep Learning Methods.” 2020. Thesis, KTH. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273607.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jablecka, Marta. “Modelling CLV in the Insurance Industry Using Deep Learning Methods.” 2020. Web. 20 Sep 2020.

Vancouver:

Jablecka M. Modelling CLV in the Insurance Industry Using Deep Learning Methods. [Internet] [Thesis]. KTH; 2020. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273607.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jablecka M. Modelling CLV in the Insurance Industry Using Deep Learning Methods. [Thesis]. KTH; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273607

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

15. Li, Zongze. Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems.

Degree: 2019, University of North Texas

 High-performance computing (HPC) systems continue growing in both scale and complexity. These large-scale, heterogeneous systems generate tens of millions of log messages every day. Effective… (more)

Subjects/Keywords: HPC; System log; Anomaly Detection; Sequence Mining; Deep Learning; RNN; FPGA

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, Z. (2019). Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1609172/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Zongze. “Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems.” 2019. Thesis, University of North Texas. Accessed September 20, 2020. https://digital.library.unt.edu/ark:/67531/metadc1609172/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Zongze. “Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems.” 2019. Web. 20 Sep 2020.

Vancouver:

Li Z. Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems. [Internet] [Thesis]. University of North Texas; 2019. [cited 2020 Sep 20]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1609172/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li Z. Event Sequence Identification and Deep Learning Classification for Anomaly Detection and Predication on High-Performance Computing Systems. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1609172/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of North Texas

16. Alammari, Ali. Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning.

Degree: 2020, University of North Texas

 Intelligent transportation systems (ITS) are essential tools for traffic planning, analysis, and forecasting that can utilize the huge amount of traffic data available nowadays. In… (more)

Subjects/Keywords: Deep Learning; CNN; RNN; Traffic Forecasting; Crowdsourced Data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alammari, A. (2020). Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1703305/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alammari, Ali. “Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning.” 2020. Thesis, University of North Texas. Accessed September 20, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703305/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alammari, Ali. “Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning.” 2020. Web. 20 Sep 2020.

Vancouver:

Alammari A. Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning. [Internet] [Thesis]. University of North Texas; 2020. [cited 2020 Sep 20]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1703305/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alammari A. Traffic Forecasting Applications Using Crowdsourced Traffic Reports and Deep Learning. [Thesis]. University of North Texas; 2020. Available from: https://digital.library.unt.edu/ark:/67531/metadc1703305/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Rochester Institute of Technology

17. Nagabandi, Sai Shashidhar. Self-Supervised Video Representation Learning by Recurrent Networks and Frame Order Prediction.

Degree: MS, Computer Engineering, 2020, Rochester Institute of Technology

  The success of deep learning models in challenging tasks of computer vision and natural language processing depend on good vector representations of data. For… (more)

Subjects/Keywords: Action recognition; CNN; Deep learning; LSTM; RNN; Self-supervised learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nagabandi, S. S. (2020). Self-Supervised Video Representation Learning by Recurrent Networks and Frame Order Prediction. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10450

Chicago Manual of Style (16th Edition):

Nagabandi, Sai Shashidhar. “Self-Supervised Video Representation Learning by Recurrent Networks and Frame Order Prediction.” 2020. Masters Thesis, Rochester Institute of Technology. Accessed September 20, 2020. https://scholarworks.rit.edu/theses/10450.

MLA Handbook (7th Edition):

Nagabandi, Sai Shashidhar. “Self-Supervised Video Representation Learning by Recurrent Networks and Frame Order Prediction.” 2020. Web. 20 Sep 2020.

Vancouver:

Nagabandi SS. Self-Supervised Video Representation Learning by Recurrent Networks and Frame Order Prediction. [Internet] [Masters thesis]. Rochester Institute of Technology; 2020. [cited 2020 Sep 20]. Available from: https://scholarworks.rit.edu/theses/10450.

Council of Science Editors:

Nagabandi SS. Self-Supervised Video Representation Learning by Recurrent Networks and Frame Order Prediction. [Masters Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10450


Indiana University

18. Zynda, Gregory J. Combining DNA Methylation with Deep Learning Improves Sensitivity and Accuracy of Eukaryotic Genome Annotation .

Degree: 2020, Indiana University

 The genome assembly process has significantly decreased in computational complexity since the advent of third-generation long-read technologies. However, genome annotations still require significant manual effort… (more)

Subjects/Keywords: genome annotation; deep learning; rnn; dna methylation; epigenetics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zynda, G. J. (2020). Combining DNA Methylation with Deep Learning Improves Sensitivity and Accuracy of Eukaryotic Genome Annotation . (Thesis). Indiana University. Retrieved from http://hdl.handle.net/2022/25389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zynda, Gregory J. “Combining DNA Methylation with Deep Learning Improves Sensitivity and Accuracy of Eukaryotic Genome Annotation .” 2020. Thesis, Indiana University. Accessed September 20, 2020. http://hdl.handle.net/2022/25389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zynda, Gregory J. “Combining DNA Methylation with Deep Learning Improves Sensitivity and Accuracy of Eukaryotic Genome Annotation .” 2020. Web. 20 Sep 2020.

Vancouver:

Zynda GJ. Combining DNA Methylation with Deep Learning Improves Sensitivity and Accuracy of Eukaryotic Genome Annotation . [Internet] [Thesis]. Indiana University; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2022/25389.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zynda GJ. Combining DNA Methylation with Deep Learning Improves Sensitivity and Accuracy of Eukaryotic Genome Annotation . [Thesis]. Indiana University; 2020. Available from: http://hdl.handle.net/2022/25389

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


San Jose State University

19. Bhagwat, Neha Atul. Designing single guide RNAs for CRISPR/Cas9.

Degree: MS, Computer Science, 2019, San Jose State University

  Researchers have been working towards development of tools to facilitate regular use genome engineering techniques. In recent years, the focus of these efforts has… (more)

Subjects/Keywords: CRISPR; sgRNAs classification; RNN; Artificial Intelligence and Robotics; Other Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Bhagwat, N. A. (2019). Designing single guide RNAs for CRISPR/Cas9. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.6zqq-pdc4 ; https://scholarworks.sjsu.edu/etd_projects/730

Chicago Manual of Style (16th Edition):

Bhagwat, Neha Atul. “Designing single guide RNAs for CRISPR/Cas9.” 2019. Masters Thesis, San Jose State University. Accessed September 20, 2020. https://doi.org/10.31979/etd.6zqq-pdc4 ; https://scholarworks.sjsu.edu/etd_projects/730.

MLA Handbook (7th Edition):

Bhagwat, Neha Atul. “Designing single guide RNAs for CRISPR/Cas9.” 2019. Web. 20 Sep 2020.

Vancouver:

Bhagwat NA. Designing single guide RNAs for CRISPR/Cas9. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2020 Sep 20]. Available from: https://doi.org/10.31979/etd.6zqq-pdc4 ; https://scholarworks.sjsu.edu/etd_projects/730.

Council of Science Editors:

Bhagwat NA. Designing single guide RNAs for CRISPR/Cas9. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.6zqq-pdc4 ; https://scholarworks.sjsu.edu/etd_projects/730


Northeastern University

20. Wang, Yitong. Sentiment Analysis Of Customer Support Phone Dialogues Using Fusion-based Emotion Recognition Techniques.

Degree: MS, Department of Mechanical and Industrial Engineering, 2019, Northeastern University

 Speech Emotion Recognition (SER) is a challenge task due to the complexity and bias of emotion and environment. Unlike facial emotion recognition or text emotion… (more)

Subjects/Keywords: CNN; Emotion Recognition; RNN; Sentiment Analysis; SVM; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Y. (2019). Sentiment Analysis Of Customer Support Phone Dialogues Using Fusion-based Emotion Recognition Techniques. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20328716

Chicago Manual of Style (16th Edition):

Wang, Yitong. “Sentiment Analysis Of Customer Support Phone Dialogues Using Fusion-based Emotion Recognition Techniques.” 2019. Masters Thesis, Northeastern University. Accessed September 20, 2020. http://hdl.handle.net/2047/D20328716.

MLA Handbook (7th Edition):

Wang, Yitong. “Sentiment Analysis Of Customer Support Phone Dialogues Using Fusion-based Emotion Recognition Techniques.” 2019. Web. 20 Sep 2020.

Vancouver:

Wang Y. Sentiment Analysis Of Customer Support Phone Dialogues Using Fusion-based Emotion Recognition Techniques. [Internet] [Masters thesis]. Northeastern University; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2047/D20328716.

Council of Science Editors:

Wang Y. Sentiment Analysis Of Customer Support Phone Dialogues Using Fusion-based Emotion Recognition Techniques. [Masters Thesis]. Northeastern University; 2019. Available from: http://hdl.handle.net/2047/D20328716

21. Willman, Martin. Machine Learning to identify cheaters in online games.

Degree: Applied Physics and Electronics, 2020, Umeå University

  Cheating in online games is a problem both on the esport stage and in the gaming community. When a player cheats, the competitors do not… (more)

Subjects/Keywords: Machine Leaning; anti-cheat; RNN; Interaction Technologies; Interaktionsteknik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Willman, M. (2020). Machine Learning to identify cheaters in online games. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-170973

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Willman, Martin. “Machine Learning to identify cheaters in online games.” 2020. Thesis, Umeå University. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-170973.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Willman, Martin. “Machine Learning to identify cheaters in online games.” 2020. Web. 20 Sep 2020.

Vancouver:

Willman M. Machine Learning to identify cheaters in online games. [Internet] [Thesis]. Umeå University; 2020. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-170973.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Willman M. Machine Learning to identify cheaters in online games. [Thesis]. Umeå University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-170973

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

22. Rosell, Felicia. Tracking a ball during bounce and roll using recurrent neural networks.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

In many types of sports, on-screen graphics such as an reconstructed ball trajectory, can be displayed for spectators or players in order to increase… (more)

Subjects/Keywords: machine learning; ML; recurrent neural networks; RNN; deep learning; tracking; golf; bounce; synthetic data; maskininlärning; ML; recurrent neural networks; RNN; djupinlärning; följning; golf; studs; syntetiskt data; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rosell, F. (2018). Tracking a ball during bounce and roll using recurrent neural networks. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rosell, Felicia. “Tracking a ball during bounce and roll using recurrent neural networks.” 2018. Thesis, KTH. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rosell, Felicia. “Tracking a ball during bounce and roll using recurrent neural networks.” 2018. Web. 20 Sep 2020.

Vancouver:

Rosell F. Tracking a ball during bounce and roll using recurrent neural networks. [Internet] [Thesis]. KTH; 2018. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239733.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rosell F. Tracking a ball during bounce and roll using recurrent neural networks. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239733

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Victoria

23. Hoang, Minh Tu. WiFi fingerprinting based indoor localization with autonomous survey and machine learning.

Degree: Department of Electrical and Computer Engineering, 2020, University of Victoria

 The demand for accurate localization under indoor environments has increased dramatically in recent years. To be cost-effective, most of the localization solutions are based on… (more)

Subjects/Keywords: WiFi fingerprinting; Indoor localization; Machine learning; KNN; RNN; Passive indoor localization; RSSI; CSI

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hoang, M. T. (2020). WiFi fingerprinting based indoor localization with autonomous survey and machine learning. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/12091

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hoang, Minh Tu. “WiFi fingerprinting based indoor localization with autonomous survey and machine learning.” 2020. Thesis, University of Victoria. Accessed September 20, 2020. http://hdl.handle.net/1828/12091.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hoang, Minh Tu. “WiFi fingerprinting based indoor localization with autonomous survey and machine learning.” 2020. Web. 20 Sep 2020.

Vancouver:

Hoang MT. WiFi fingerprinting based indoor localization with autonomous survey and machine learning. [Internet] [Thesis]. University of Victoria; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1828/12091.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hoang MT. WiFi fingerprinting based indoor localization with autonomous survey and machine learning. [Thesis]. University of Victoria; 2020. Available from: http://hdl.handle.net/1828/12091

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Wisconsin – Milwaukee

24. Zuo, Hongquan. Model Augmented Deep Neural Networks for Medical Image Reconstruction Problems.

Degree: PhD, Engineering, 2019, University of Wisconsin – Milwaukee

  Solving an ill-posed inverse problem is difficult because it doesn't have a unique solution. In practice, for some important inverse problems, the conventional methods,… (more)

Subjects/Keywords: CT reconstruction; Deep learning; RNN; Single image super-resolution; Computer Sciences; Electrical and Electronics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zuo, H. (2019). Model Augmented Deep Neural Networks for Medical Image Reconstruction Problems. (Doctoral Dissertation). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/2278

Chicago Manual of Style (16th Edition):

Zuo, Hongquan. “Model Augmented Deep Neural Networks for Medical Image Reconstruction Problems.” 2019. Doctoral Dissertation, University of Wisconsin – Milwaukee. Accessed September 20, 2020. https://dc.uwm.edu/etd/2278.

MLA Handbook (7th Edition):

Zuo, Hongquan. “Model Augmented Deep Neural Networks for Medical Image Reconstruction Problems.” 2019. Web. 20 Sep 2020.

Vancouver:

Zuo H. Model Augmented Deep Neural Networks for Medical Image Reconstruction Problems. [Internet] [Doctoral dissertation]. University of Wisconsin – Milwaukee; 2019. [cited 2020 Sep 20]. Available from: https://dc.uwm.edu/etd/2278.

Council of Science Editors:

Zuo H. Model Augmented Deep Neural Networks for Medical Image Reconstruction Problems. [Doctoral Dissertation]. University of Wisconsin – Milwaukee; 2019. Available from: https://dc.uwm.edu/etd/2278

25. -3729-8456. Natural-language video description with deep recurrent neural networks.

Degree: PhD, Computer Science, 2017, University of Texas – Austin

 For most people, watching a brief video and describing what happened (in words) is an easy task. For machines, extracting meaning from video pixels and… (more)

Subjects/Keywords: Video; Captioning; Description; LSTM; RNN; Recurrent; Neural networks; Image captioning; Video captioning; Language and vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-3729-8456. (2017). Natural-language video description with deep recurrent neural networks. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62987

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-3729-8456. “Natural-language video description with deep recurrent neural networks.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed September 20, 2020. http://hdl.handle.net/2152/62987.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-3729-8456. “Natural-language video description with deep recurrent neural networks.” 2017. Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3729-8456. Natural-language video description with deep recurrent neural networks. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2152/62987.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-3729-8456. Natural-language video description with deep recurrent neural networks. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62987

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


KTH

26. Haseeb, Mohamed Abdulaziz Ali. Passive gesture recognition on unmodified smartphones using Wi-Fi RSSI.

Degree: RPL, 2017, KTH

The smartphone is becoming a common device carried by hundreds of millions of individual humans worldwide, and is used to accomplish a multitude of… (more)

Subjects/Keywords: Wi-Fi; RSSI; gesture recognition; RNN; LSTM; neural network; deep learning; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Haseeb, M. A. A. (2017). Passive gesture recognition on unmodified smartphones using Wi-Fi RSSI. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216390

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Haseeb, Mohamed Abdulaziz Ali. “Passive gesture recognition on unmodified smartphones using Wi-Fi RSSI.” 2017. Thesis, KTH. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216390.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Haseeb, Mohamed Abdulaziz Ali. “Passive gesture recognition on unmodified smartphones using Wi-Fi RSSI.” 2017. Web. 20 Sep 2020.

Vancouver:

Haseeb MAA. Passive gesture recognition on unmodified smartphones using Wi-Fi RSSI. [Internet] [Thesis]. KTH; 2017. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216390.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haseeb MAA. Passive gesture recognition on unmodified smartphones using Wi-Fi RSSI. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216390

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


IUPUI

27. Raptis, Konstantinos. The clash between two worlds in human action recognition: supervised feature training vs Recurrent ConvNet.

Degree: 2016, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Action recognition has been an active research topic for over three decades. There are various applications of action recognition, such… (more)

Subjects/Keywords: Action Recognition; Dense Trajectories; R-CNN; LSTM RNN; Convolution Neural Networks; Recurrent Neural Networks

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APA (6th Edition):

Raptis, K. (2016). The clash between two worlds in human action recognition: supervised feature training vs Recurrent ConvNet. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/11827

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Raptis, Konstantinos. “The clash between two worlds in human action recognition: supervised feature training vs Recurrent ConvNet.” 2016. Thesis, IUPUI. Accessed September 20, 2020. http://hdl.handle.net/1805/11827.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Raptis, Konstantinos. “The clash between two worlds in human action recognition: supervised feature training vs Recurrent ConvNet.” 2016. Web. 20 Sep 2020.

Vancouver:

Raptis K. The clash between two worlds in human action recognition: supervised feature training vs Recurrent ConvNet. [Internet] [Thesis]. IUPUI; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1805/11827.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Raptis K. The clash between two worlds in human action recognition: supervised feature training vs Recurrent ConvNet. [Thesis]. IUPUI; 2016. Available from: http://hdl.handle.net/1805/11827

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linnaeus University

28. Olsén, Michael Racette. Electrocardiographic deviation detection : Using long short-term memory recurrent neural networks to detect deviations within electrocardiographic records.

Degree: Computer Science, 2018, Linnaeus University

  Artificial neural networks have been gaining attention in recent years due to theirimpressive ability to map out complex nonlinear relations within data. In this… (more)

Subjects/Keywords: ECG; LSTM; RNN; Neural Network; Deeplearning4j; Time Series; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Olsén, M. R. (2018). Electrocardiographic deviation detection : Using long short-term memory recurrent neural networks to detect deviations within electrocardiographic records. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76411

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Olsén, Michael Racette. “Electrocardiographic deviation detection : Using long short-term memory recurrent neural networks to detect deviations within electrocardiographic records.” 2018. Thesis, Linnaeus University. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76411.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Olsén, Michael Racette. “Electrocardiographic deviation detection : Using long short-term memory recurrent neural networks to detect deviations within electrocardiographic records.” 2018. Web. 20 Sep 2020.

Vancouver:

Olsén MR. Electrocardiographic deviation detection : Using long short-term memory recurrent neural networks to detect deviations within electrocardiographic records. [Internet] [Thesis]. Linnaeus University; 2018. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76411.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Olsén MR. Electrocardiographic deviation detection : Using long short-term memory recurrent neural networks to detect deviations within electrocardiographic records. [Thesis]. Linnaeus University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-76411

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Halmstad University

29. Alshatta, Mohammad Samer. Real Time Gym Activity Detection using Monocular RGB Camera.

Degree: Information Technology, 2020, Halmstad University

  Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area… (more)

Subjects/Keywords: ActivityDetection; RNN; GymActionDetection; PoseBasedActionDetection; DeepLearning; SkeletonBasedOnlineActionDetection; Engineering and Technology; Teknik och teknologier

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alshatta, M. S. (2020). Real Time Gym Activity Detection using Monocular RGB Camera. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41440

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alshatta, Mohammad Samer. “Real Time Gym Activity Detection using Monocular RGB Camera.” 2020. Thesis, Halmstad University. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41440.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alshatta, Mohammad Samer. “Real Time Gym Activity Detection using Monocular RGB Camera.” 2020. Web. 20 Sep 2020.

Vancouver:

Alshatta MS. Real Time Gym Activity Detection using Monocular RGB Camera. [Internet] [Thesis]. Halmstad University; 2020. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41440.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alshatta MS. Real Time Gym Activity Detection using Monocular RGB Camera. [Thesis]. Halmstad University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-41440

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Uppsala University

30. Ljus, Simon. Purging Sensitive Data in Logs Using Machine Learning.

Degree: Information Technology, 2020, Uppsala University

This thesis investigates how to remove personal data from logs using machine learning when rule-based scripts are not enough and manual scanning is too… (more)

Subjects/Keywords: GDPR; LSTM; RNN; GloVe; personal data; machine learning; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ljus, S. (2020). Purging Sensitive Data in Logs Using Machine Learning. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-411610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ljus, Simon. “Purging Sensitive Data in Logs Using Machine Learning.” 2020. Thesis, Uppsala University. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-411610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ljus, Simon. “Purging Sensitive Data in Logs Using Machine Learning.” 2020. Web. 20 Sep 2020.

Vancouver:

Ljus S. Purging Sensitive Data in Logs Using Machine Learning. [Internet] [Thesis]. Uppsala University; 2020. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-411610.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ljus S. Purging Sensitive Data in Logs Using Machine Learning. [Thesis]. Uppsala University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-411610

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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