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You searched for subject:(neural network). Showing records 1 – 30 of 2261 total matches.

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Anna University

1. Baskaran T. Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -.

Degree: Civil Engineering, 2010, Anna University

Many Indian reservoirs have lost their storage capacities because of sedimentation. Many of these reservoirs are losing capacity at the rate of0.2 1.0% annually. The… (more)

Subjects/Keywords: Neural network

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APA (6th Edition):

T, B. (2010). Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9568

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):

T, Baskaran. “Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -.” 2010. Thesis, Anna University. Accessed April 24, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/9568.

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

MLA Handbook (7th Edition):

T, Baskaran. “Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -.” 2010. Web. 24 Apr 2019.

Vancouver:

T B. Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -. [Internet] [Thesis]. Anna University; 2010. [cited 2019 Apr 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9568.

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

Council of Science Editors:

T B. Inflow and sediment yield modeling of Vaigai reservoir using analytical and neural network approach; -. [Thesis]. Anna University; 2010. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9568

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


California State University – Sacramento

2. Rawlani, Bhagyashree. Distracted driver detection using Capsule Network.

Degree: MS, Computer Science, 2019, California State University – Sacramento

 Convolutional neural networks are generally assumed to be the best neural networks for classifying images. In November 2017, Geoffrey Hinton et al. introduced another neural(more)

Subjects/Keywords: Convolutional neural network

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APA (6th Edition):

Rawlani, B. (2019). Distracted driver detection using Capsule Network. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/207659

Chicago Manual of Style (16th Edition):

Rawlani, Bhagyashree. “Distracted driver detection using Capsule Network.” 2019. Masters Thesis, California State University – Sacramento. Accessed April 24, 2019. http://hdl.handle.net/10211.3/207659.

MLA Handbook (7th Edition):

Rawlani, Bhagyashree. “Distracted driver detection using Capsule Network.” 2019. Web. 24 Apr 2019.

Vancouver:

Rawlani B. Distracted driver detection using Capsule Network. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/10211.3/207659.

Council of Science Editors:

Rawlani B. Distracted driver detection using Capsule Network. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/207659


NSYSU

3. Lin, Yi-Fan. A Generative Collaborative Network for Detection of Polyps in Endoscopic Images.

Degree: Master, Institute Of Electrical Engineering, 2018, NSYSU

 Cancer is the leading cause of death in Taiwan and colorectal cancer ranks first in the top 10 cancers of the years several times. The… (more)

Subjects/Keywords: Polyps Detection; Double Network; Transpose Convolution Neural Network; Neural Network; Convolution Neural Network

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APA (6th Edition):

Lin, Y. (2018). A Generative Collaborative Network for Detection of Polyps in Endoscopic Images. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-143818

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):

Lin, Yi-Fan. “A Generative Collaborative Network for Detection of Polyps in Endoscopic Images.” 2018. Thesis, NSYSU. Accessed April 24, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-143818.

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

MLA Handbook (7th Edition):

Lin, Yi-Fan. “A Generative Collaborative Network for Detection of Polyps in Endoscopic Images.” 2018. Web. 24 Apr 2019.

Vancouver:

Lin Y. A Generative Collaborative Network for Detection of Polyps in Endoscopic Images. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Apr 24]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-143818.

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

Council of Science Editors:

Lin Y. A Generative Collaborative Network for Detection of Polyps in Endoscopic Images. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0803118-143818

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


University of Sydney

4. Qi, Yang. Anomalous neural pattern dynamics: formation mechanisms and functional roles .

Degree: 2018, University of Sydney

 Spatiotemporal activity patterns with complex dynamics have been widely observed in the cortex, but their formation mechanisms and functional roles remain unclear. In this thesis,… (more)

Subjects/Keywords: neural network; neural fields; anomalous diffusion

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APA (6th Edition):

Qi, Y. (2018). Anomalous neural pattern dynamics: formation mechanisms and functional roles . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/18808

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):

Qi, Yang. “Anomalous neural pattern dynamics: formation mechanisms and functional roles .” 2018. Thesis, University of Sydney. Accessed April 24, 2019. http://hdl.handle.net/2123/18808.

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

MLA Handbook (7th Edition):

Qi, Yang. “Anomalous neural pattern dynamics: formation mechanisms and functional roles .” 2018. Web. 24 Apr 2019.

Vancouver:

Qi Y. Anomalous neural pattern dynamics: formation mechanisms and functional roles . [Internet] [Thesis]. University of Sydney; 2018. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/2123/18808.

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

Council of Science Editors:

Qi Y. Anomalous neural pattern dynamics: formation mechanisms and functional roles . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/18808

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


Dalhousie University

5. Higgins, Jenna. A Neural Network Growth and Yield Model for Nova Scotia Forests.

Degree: Master of Applied Science, Department of Industrial Engineering, 2011, Dalhousie University

 Forest growth models are important to the forestry community because they provide means for predicting future yields and exploring different forest management practices. The purpose… (more)

Subjects/Keywords: Neural network; Forest growth model

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APA (6th Edition):

Higgins, J. (2011). A Neural Network Growth and Yield Model for Nova Scotia Forests. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/13886

Chicago Manual of Style (16th Edition):

Higgins, Jenna. “A Neural Network Growth and Yield Model for Nova Scotia Forests.” 2011. Masters Thesis, Dalhousie University. Accessed April 24, 2019. http://hdl.handle.net/10222/13886.

MLA Handbook (7th Edition):

Higgins, Jenna. “A Neural Network Growth and Yield Model for Nova Scotia Forests.” 2011. Web. 24 Apr 2019.

Vancouver:

Higgins J. A Neural Network Growth and Yield Model for Nova Scotia Forests. [Internet] [Masters thesis]. Dalhousie University; 2011. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/10222/13886.

Council of Science Editors:

Higgins J. A Neural Network Growth and Yield Model for Nova Scotia Forests. [Masters Thesis]. Dalhousie University; 2011. Available from: http://hdl.handle.net/10222/13886


University of Edinburgh

6. Ge, Mengtian. Statistical Parametric Speech Synthesis Using Deep Neural Network.

Degree: 2013, University of Edinburgh

 In this work, we implement a deep neural network for the text-to-speech system. We have tried different parameter settings for the DNN layers and units,… (more)

Subjects/Keywords: Deep Neural Network; Speech Synthesis

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APA (6th Edition):

Ge, M. (2013). Statistical Parametric Speech Synthesis Using Deep Neural Network. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8658

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):

Ge, Mengtian. “Statistical Parametric Speech Synthesis Using Deep Neural Network.” 2013. Thesis, University of Edinburgh. Accessed April 24, 2019. http://hdl.handle.net/1842/8658.

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

MLA Handbook (7th Edition):

Ge, Mengtian. “Statistical Parametric Speech Synthesis Using Deep Neural Network.” 2013. Web. 24 Apr 2019.

Vancouver:

Ge M. Statistical Parametric Speech Synthesis Using Deep Neural Network. [Internet] [Thesis]. University of Edinburgh; 2013. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/1842/8658.

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

Council of Science Editors:

Ge M. Statistical Parametric Speech Synthesis Using Deep Neural Network. [Thesis]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/8658

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


University of Nairobi

7. Onyango, Paschal O. Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation .

Degree: 2012, University of Nairobi

 Most of the medium and small-scale Kenyan farmers rely on metrological department for weather information and subsequently also rely on the ministry of agriculture to… (more)

Subjects/Keywords: Maize Crop; Artificial Neural Network

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APA (6th Edition):

Onyango, P. O. (2012). Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23395

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):

Onyango, Paschal O. “Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation .” 2012. Thesis, University of Nairobi. Accessed April 24, 2019. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23395.

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

MLA Handbook (7th Edition):

Onyango, Paschal O. “Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation .” 2012. Web. 24 Apr 2019.

Vancouver:

Onyango PO. Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation . [Internet] [Thesis]. University of Nairobi; 2012. [cited 2019 Apr 24]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23395.

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

Council of Science Editors:

Onyango PO. Maize crop yield prediction through reinforcement learning, artificial neural network and alert messages generation . [Thesis]. University of Nairobi; 2012. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/23395

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


NSYSU

8. Wang, Chi-hung. Apply Neural Network Techniques for Storm Surge Prediction.

Degree: Master, Marine Environment and Engineering, 2010, NSYSU

 Taiwan is often threaten by typhoon during summer and autumn. The surges brought by theses typhoons not only cause human lives in danger, but also… (more)

Subjects/Keywords: Neural Network; Typhoon; Surge

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APA (6th Edition):

Wang, C. (2010). Apply Neural Network Techniques for Storm Surge Prediction. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0302110-160617

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):

Wang, Chi-hung. “Apply Neural Network Techniques for Storm Surge Prediction.” 2010. Thesis, NSYSU. Accessed April 24, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0302110-160617.

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

MLA Handbook (7th Edition):

Wang, Chi-hung. “Apply Neural Network Techniques for Storm Surge Prediction.” 2010. Web. 24 Apr 2019.

Vancouver:

Wang C. Apply Neural Network Techniques for Storm Surge Prediction. [Internet] [Thesis]. NSYSU; 2010. [cited 2019 Apr 24]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0302110-160617.

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

Council of Science Editors:

Wang C. Apply Neural Network Techniques for Storm Surge Prediction. [Thesis]. NSYSU; 2010. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0302110-160617

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

9. Md Kamal, Mahanijah. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.

Degree: PhD, 2014, Liverpool John Moores University

 This work presents a new approach for detecting and isolating faults in nonlinear processes using independent neural network models. In this approach, an independent neural(more)

Subjects/Keywords: 621.381; Fault diagnosis; neural network

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APA (6th Edition):

Md Kamal, M. (2014). Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. (Doctoral Dissertation). Liverpool John Moores University. Retrieved from http://researchonline.ljmu.ac.uk/4574/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384

Chicago Manual of Style (16th Edition):

Md Kamal, Mahanijah. “Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.” 2014. Doctoral Dissertation, Liverpool John Moores University. Accessed April 24, 2019. http://researchonline.ljmu.ac.uk/4574/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384.

MLA Handbook (7th Edition):

Md Kamal, Mahanijah. “Intelligent fault detection and isolation for proton exchange membrane fuel cell systems.” 2014. Web. 24 Apr 2019.

Vancouver:

Md Kamal M. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. [Internet] [Doctoral dissertation]. Liverpool John Moores University; 2014. [cited 2019 Apr 24]. Available from: http://researchonline.ljmu.ac.uk/4574/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384.

Council of Science Editors:

Md Kamal M. Intelligent fault detection and isolation for proton exchange membrane fuel cell systems. [Doctoral Dissertation]. Liverpool John Moores University; 2014. Available from: http://researchonline.ljmu.ac.uk/4574/ ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.617384


Penn State University

10. Valenti, Joseph Christian Adam Frank. POROSITY PREDICTION FROM SEISMIC DATA USING MULTIATTRIBUTE.

Degree: MS, Geoscience, 2009, Penn State University

 We compare two methods of predicting well-log porosity from seismic data. The data consist of a suite of well logs and a full stack 3D… (more)

Subjects/Keywords: neural network; porosity; seismic

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APA (6th Edition):

Valenti, J. C. A. F. (2009). POROSITY PREDICTION FROM SEISMIC DATA USING MULTIATTRIBUTE. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9157

Chicago Manual of Style (16th Edition):

Valenti, Joseph Christian Adam Frank. “POROSITY PREDICTION FROM SEISMIC DATA USING MULTIATTRIBUTE.” 2009. Masters Thesis, Penn State University. Accessed April 24, 2019. https://etda.libraries.psu.edu/catalog/9157.

MLA Handbook (7th Edition):

Valenti, Joseph Christian Adam Frank. “POROSITY PREDICTION FROM SEISMIC DATA USING MULTIATTRIBUTE.” 2009. Web. 24 Apr 2019.

Vancouver:

Valenti JCAF. POROSITY PREDICTION FROM SEISMIC DATA USING MULTIATTRIBUTE. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Apr 24]. Available from: https://etda.libraries.psu.edu/catalog/9157.

Council of Science Editors:

Valenti JCAF. POROSITY PREDICTION FROM SEISMIC DATA USING MULTIATTRIBUTE. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9157


Penn State University

11. Chidambaram, Prasanna. DEVELOPMENT AND TESTING OF AN ARTIFICIAL NEURAL NETWORK BASED.

Degree: PhD, Petroleum and Natural Gas Engineering, 2009, Penn State University

 History matching is one of the more critical steps in the reservoir performance predictions. It is during this step the reservoir parameters used in the… (more)

Subjects/Keywords: Artificial neural network; History matching

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APA (6th Edition):

Chidambaram, P. (2009). DEVELOPMENT AND TESTING OF AN ARTIFICIAL NEURAL NETWORK BASED. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9336

Chicago Manual of Style (16th Edition):

Chidambaram, Prasanna. “DEVELOPMENT AND TESTING OF AN ARTIFICIAL NEURAL NETWORK BASED.” 2009. Doctoral Dissertation, Penn State University. Accessed April 24, 2019. https://etda.libraries.psu.edu/catalog/9336.

MLA Handbook (7th Edition):

Chidambaram, Prasanna. “DEVELOPMENT AND TESTING OF AN ARTIFICIAL NEURAL NETWORK BASED.” 2009. Web. 24 Apr 2019.

Vancouver:

Chidambaram P. DEVELOPMENT AND TESTING OF AN ARTIFICIAL NEURAL NETWORK BASED. [Internet] [Doctoral dissertation]. Penn State University; 2009. [cited 2019 Apr 24]. Available from: https://etda.libraries.psu.edu/catalog/9336.

Council of Science Editors:

Chidambaram P. DEVELOPMENT AND TESTING OF AN ARTIFICIAL NEURAL NETWORK BASED. [Doctoral Dissertation]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9336


Penn State University

12. Rajamohan, Srijith. A Neural Network based Classifier on the Cell Broadband Engine.

Degree: MS, Electrical Engineering, 2009, Penn State University

 The Cell processor is a novel heterogeneous multicore architecture that holds the distinction of being part of the most powerful distributed computing system capable of… (more)

Subjects/Keywords: classifier; Neural Network; Cell

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APA (6th Edition):

Rajamohan, S. (2009). A Neural Network based Classifier on the Cell Broadband Engine. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10110

Chicago Manual of Style (16th Edition):

Rajamohan, Srijith. “A Neural Network based Classifier on the Cell Broadband Engine.” 2009. Masters Thesis, Penn State University. Accessed April 24, 2019. https://etda.libraries.psu.edu/catalog/10110.

MLA Handbook (7th Edition):

Rajamohan, Srijith. “A Neural Network based Classifier on the Cell Broadband Engine.” 2009. Web. 24 Apr 2019.

Vancouver:

Rajamohan S. A Neural Network based Classifier on the Cell Broadband Engine. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Apr 24]. Available from: https://etda.libraries.psu.edu/catalog/10110.

Council of Science Editors:

Rajamohan S. A Neural Network based Classifier on the Cell Broadband Engine. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/10110


Texas State University – San Marcos

13. Chen, Xinbo. Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition.

Degree: MS, Computer Science, 2016, Texas State University – San Marcos

 In recent years, convolutional neural network (CNN) has been widely used to improve the training time and accuracy of image recognition applications. These CNNs are… (more)

Subjects/Keywords: Neural network; CNN; Energy efficiency

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APA (6th Edition):

Chen, X. (2016). Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6853

Chicago Manual of Style (16th Edition):

Chen, Xinbo. “Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition.” 2016. Masters Thesis, Texas State University – San Marcos. Accessed April 24, 2019. https://digital.library.txstate.edu/handle/10877/6853.

MLA Handbook (7th Edition):

Chen, Xinbo. “Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition.” 2016. Web. 24 Apr 2019.

Vancouver:

Chen X. Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition. [Internet] [Masters thesis]. Texas State University – San Marcos; 2016. [cited 2019 Apr 24]. Available from: https://digital.library.txstate.edu/handle/10877/6853.

Council of Science Editors:

Chen X. Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition. [Masters Thesis]. Texas State University – San Marcos; 2016. Available from: https://digital.library.txstate.edu/handle/10877/6853


University of Saskatchewan

14. Wang, Yi 1989-. Convolutional Neural Network based Malignancy Detection of Pulmonary Nodule on Computer Tomography.

Degree: 2018, University of Saskatchewan

 Without performing biopsy that could lead physical damages to nerves and vessels, Computerized Tomography (CT) is widely used to diagnose the lung cancer due to… (more)

Subjects/Keywords: convolutional neural network; pulmonary nodule

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APA (6th Edition):

Wang, Y. 1. (2018). Convolutional Neural Network based Malignancy Detection of Pulmonary Nodule on Computer Tomography. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/10844

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):

Wang, Yi 1989-. “Convolutional Neural Network based Malignancy Detection of Pulmonary Nodule on Computer Tomography.” 2018. Thesis, University of Saskatchewan. Accessed April 24, 2019. http://hdl.handle.net/10388/10844.

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

MLA Handbook (7th Edition):

Wang, Yi 1989-. “Convolutional Neural Network based Malignancy Detection of Pulmonary Nodule on Computer Tomography.” 2018. Web. 24 Apr 2019.

Vancouver:

Wang Y1. Convolutional Neural Network based Malignancy Detection of Pulmonary Nodule on Computer Tomography. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/10388/10844.

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

Council of Science Editors:

Wang Y1. Convolutional Neural Network based Malignancy Detection of Pulmonary Nodule on Computer Tomography. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/10844

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


University of Victoria

15. Odense, Simon. Universal approximation theory of neural networks.

Degree: Department of Mathematics and Statistics, 2016, University of Victoria

 Historically, artificial neural networks have been loosely defined as biologically inspired computational models. When deciding what sort of network to use for a given task… (more)

Subjects/Keywords: Neural Network; RTRBM; Universal Approximation

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APA (6th Edition):

Odense, S. (2016). Universal approximation theory of neural networks. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7040

Chicago Manual of Style (16th Edition):

Odense, Simon. “Universal approximation theory of neural networks.” 2016. Masters Thesis, University of Victoria. Accessed April 24, 2019. http://hdl.handle.net/1828/7040.

MLA Handbook (7th Edition):

Odense, Simon. “Universal approximation theory of neural networks.” 2016. Web. 24 Apr 2019.

Vancouver:

Odense S. Universal approximation theory of neural networks. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/1828/7040.

Council of Science Editors:

Odense S. Universal approximation theory of neural networks. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7040


McGill University

16. Wang, Shuxian Jane. Neural Network on Automatic Brain Tumour Diagnosis.

Degree: PhD, School of Computer Science, 1994, McGill University

1 volume

For many decades the attempts have been made to apply computer technology to biomedical problems. One aspect of this effort is related to… (more)

Subjects/Keywords: Neural network

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

APA (6th Edition):

Wang, S. J. (1994). Neural Network on Automatic Brain Tumour Diagnosis. (Doctoral Dissertation). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile154345.pdf

Chicago Manual of Style (16th Edition):

Wang, Shuxian Jane. “Neural Network on Automatic Brain Tumour Diagnosis.” 1994. Doctoral Dissertation, McGill University. Accessed April 24, 2019. http://digitool.library.mcgill.ca/thesisfile154345.pdf.

MLA Handbook (7th Edition):

Wang, Shuxian Jane. “Neural Network on Automatic Brain Tumour Diagnosis.” 1994. Web. 24 Apr 2019.

Vancouver:

Wang SJ. Neural Network on Automatic Brain Tumour Diagnosis. [Internet] [Doctoral dissertation]. McGill University; 1994. [cited 2019 Apr 24]. Available from: http://digitool.library.mcgill.ca/thesisfile154345.pdf.

Council of Science Editors:

Wang SJ. Neural Network on Automatic Brain Tumour Diagnosis. [Doctoral Dissertation]. McGill University; 1994. Available from: http://digitool.library.mcgill.ca/thesisfile154345.pdf


University of Manitoba

17. Bhide, Ashlesha. An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer.

Degree: Electrical and Computer Engineering, 2014, University of Manitoba

 An automated signal classifier and a semi-automated signal identifier are designed for collecting the dielectrophoretic signatures of cells flowing through a dielectrophoretic cytometer. In past… (more)

Subjects/Keywords: Artificial Neural Network; DEP

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APA (6th Edition):

Bhide, A. (2014). An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23318

Chicago Manual of Style (16th Edition):

Bhide, Ashlesha. “An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer.” 2014. Masters Thesis, University of Manitoba. Accessed April 24, 2019. http://hdl.handle.net/1993/23318.

MLA Handbook (7th Edition):

Bhide, Ashlesha. “An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer.” 2014. Web. 24 Apr 2019.

Vancouver:

Bhide A. An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/1993/23318.

Council of Science Editors:

Bhide A. An Artificial neural network-based signal classifier for automated identification of detection signals from a dielectrophoretic cytometer. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/23318


Cornell University

18. Golden, James. A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces .

Degree: 2015, Cornell University

 The responses of visual cortical neurons are highly nonlinear functions of image stimuli. I present a geometric view of these nonlinear responses and classify them… (more)

Subjects/Keywords: neuroscience; vision; neural network

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APA (6th Edition):

Golden, J. (2015). A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/41113

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):

Golden, James. “A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces .” 2015. Thesis, Cornell University. Accessed April 24, 2019. http://hdl.handle.net/1813/41113.

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

MLA Handbook (7th Edition):

Golden, James. “A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces .” 2015. Web. 24 Apr 2019.

Vancouver:

Golden J. A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces . [Internet] [Thesis]. Cornell University; 2015. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/1813/41113.

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

Council of Science Editors:

Golden J. A Unified Approach To The Nonlinearities Of Visual Neurons: The Curved Geometry Of Neural Response Surfaces . [Thesis]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41113

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

19. Grbic, Nedelko. Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network.

Degree: 1997, , Department of Signal Processing

  This Master thesis deals with the complete understanding and creation of a 3-layer Backpropagation Neural Network with synaptic weight update performed on a per… (more)

Subjects/Keywords: Neural network

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APA (6th Edition):

Grbic, N. (1997). Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network. (Thesis). , Department of Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5415

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):

Grbic, Nedelko. “Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network.” 1997. Thesis, , Department of Signal Processing. Accessed April 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5415.

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

MLA Handbook (7th Edition):

Grbic, Nedelko. “Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network.” 1997. Web. 24 Apr 2019.

Vancouver:

Grbic N. Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network. [Internet] [Thesis]. , Department of Signal Processing; 1997. [cited 2019 Apr 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5415.

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

Council of Science Editors:

Grbic N. Development of a General Purpose On-Line Update Multiple Layer Feedforward Backpropagation Neural Network. [Thesis]. , Department of Signal Processing; 1997. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5415

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

20. Ma, Rui. Parametric Speech Emotion Recognition Using Neural Network.

Degree: Mathematics and Natural Sciences, 2014, University of Gävle

  The aim of this thesis work is to investigate the algorithm of speech emotion recognition using MATLAB. Firstly, five most commonly used features are… (more)

Subjects/Keywords: Speech Emotion; Neural Network

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

APA (6th Edition):

Ma, R. (2014). Parametric Speech Emotion Recognition Using Neural Network. (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17694

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):

Ma, Rui. “Parametric Speech Emotion Recognition Using Neural Network.” 2014. Thesis, University of Gävle. Accessed April 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17694.

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

MLA Handbook (7th Edition):

Ma, Rui. “Parametric Speech Emotion Recognition Using Neural Network.” 2014. Web. 24 Apr 2019.

Vancouver:

Ma R. Parametric Speech Emotion Recognition Using Neural Network. [Internet] [Thesis]. University of Gävle; 2014. [cited 2019 Apr 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17694.

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

Council of Science Editors:

Ma R. Parametric Speech Emotion Recognition Using Neural Network. [Thesis]. University of Gävle; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-17694

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


KTH

21. Eriksson, Jens. Chord and modality analysis.

Degree: Speech Communication and Technology, 2016, KTH

The way humans listen to music and perceive its structure isautomatic. In an attempt by Friberg et al. (2011) to model thishuman perception mechanism,… (more)

Subjects/Keywords: Chord analysis; neural network

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APA (6th Edition):

Eriksson, J. (2016). Chord and modality analysis. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189437

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):

Eriksson, Jens. “Chord and modality analysis.” 2016. Thesis, KTH. Accessed April 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189437.

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

MLA Handbook (7th Edition):

Eriksson, Jens. “Chord and modality analysis.” 2016. Web. 24 Apr 2019.

Vancouver:

Eriksson J. Chord and modality analysis. [Internet] [Thesis]. KTH; 2016. [cited 2019 Apr 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189437.

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

Council of Science Editors:

Eriksson J. Chord and modality analysis. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189437

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


Oklahoma State University

22. Evert, Jeremy Paul. Test Bed for Demonstrating and Teaching Soft Sensor Concepts.

Degree: School of Electrical & Computer Engineering, 2010, Oklahoma State University

 The smart sensor car is a test bed for demonstrating soft sensor concepts. The smart car follows the magnetic field coming from a wire track.… (more)

Subjects/Keywords: fpga; neural network; soft sensor

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APA (6th Edition):

Evert, J. P. (2010). Test Bed for Demonstrating and Teaching Soft Sensor Concepts. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10199

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):

Evert, Jeremy Paul. “Test Bed for Demonstrating and Teaching Soft Sensor Concepts.” 2010. Thesis, Oklahoma State University. Accessed April 24, 2019. http://hdl.handle.net/11244/10199.

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

MLA Handbook (7th Edition):

Evert, Jeremy Paul. “Test Bed for Demonstrating and Teaching Soft Sensor Concepts.” 2010. Web. 24 Apr 2019.

Vancouver:

Evert JP. Test Bed for Demonstrating and Teaching Soft Sensor Concepts. [Internet] [Thesis]. Oklahoma State University; 2010. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/11244/10199.

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

Council of Science Editors:

Evert JP. Test Bed for Demonstrating and Teaching Soft Sensor Concepts. [Thesis]. Oklahoma State University; 2010. Available from: http://hdl.handle.net/11244/10199

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


Oklahoma State University

23. Laddha, Prerana Rani. Increasing the Capacity of a B-matrix Neural Networks.

Degree: Computer Science Department, 2011, Oklahoma State University

 In an effort to create computing structures that are as efficient as the brain at cognitive tasks, interconnected artificial neurons are used in cognitive science… (more)

Subjects/Keywords: b- matrix; network; neural

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APA (6th Edition):

Laddha, P. R. (2011). Increasing the Capacity of a B-matrix Neural Networks. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/8192

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):

Laddha, Prerana Rani. “Increasing the Capacity of a B-matrix Neural Networks.” 2011. Thesis, Oklahoma State University. Accessed April 24, 2019. http://hdl.handle.net/11244/8192.

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

MLA Handbook (7th Edition):

Laddha, Prerana Rani. “Increasing the Capacity of a B-matrix Neural Networks.” 2011. Web. 24 Apr 2019.

Vancouver:

Laddha PR. Increasing the Capacity of a B-matrix Neural Networks. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/11244/8192.

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

Council of Science Editors:

Laddha PR. Increasing the Capacity of a B-matrix Neural Networks. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/8192

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


Texas State University – San Marcos

24. Thanda Setty, Vidya. Speaker Recognition using Deep Neural Networks with reduced Complexity.

Degree: MS, Engineering, 2018, Texas State University – San Marcos

 The goal of this research is to develop a small footprint text-independent speaker recognition system for a closed set of a relatively small number of… (more)

Subjects/Keywords: Speaker recognition; Deep Neural Network

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APA (6th Edition):

Thanda Setty, V. (2018). Speaker Recognition using Deep Neural Networks with reduced Complexity. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/7869

Chicago Manual of Style (16th Edition):

Thanda Setty, Vidya. “Speaker Recognition using Deep Neural Networks with reduced Complexity.” 2018. Masters Thesis, Texas State University – San Marcos. Accessed April 24, 2019. https://digital.library.txstate.edu/handle/10877/7869.

MLA Handbook (7th Edition):

Thanda Setty, Vidya. “Speaker Recognition using Deep Neural Networks with reduced Complexity.” 2018. Web. 24 Apr 2019.

Vancouver:

Thanda Setty V. Speaker Recognition using Deep Neural Networks with reduced Complexity. [Internet] [Masters thesis]. Texas State University – San Marcos; 2018. [cited 2019 Apr 24]. Available from: https://digital.library.txstate.edu/handle/10877/7869.

Council of Science Editors:

Thanda Setty V. Speaker Recognition using Deep Neural Networks with reduced Complexity. [Masters Thesis]. Texas State University – San Marcos; 2018. Available from: https://digital.library.txstate.edu/handle/10877/7869


Kansas State University

25. Clayton, Jacob. Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model.

Degree: MS, Department of Geology, 2018, Kansas State University

 The Meramec member of Mississippian age is a proficient oil and gas producing formation within the midcontinent region of the United States. It is produced… (more)

Subjects/Keywords: Artificial neural network; Mississippian; Meramec

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APA (6th Edition):

Clayton, J. (2018). Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/38547

Chicago Manual of Style (16th Edition):

Clayton, Jacob. “Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model.” 2018. Masters Thesis, Kansas State University. Accessed April 24, 2019. http://hdl.handle.net/2097/38547.

MLA Handbook (7th Edition):

Clayton, Jacob. “Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model.” 2018. Web. 24 Apr 2019.

Vancouver:

Clayton J. Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model. [Internet] [Masters thesis]. Kansas State University; 2018. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/2097/38547.

Council of Science Editors:

Clayton J. Examining Bindley Field, Hodgeman County Kansas and surrounding areas for productive lithofacies using an artificial neural network model. [Masters Thesis]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/38547


University of Texas – Austin

26. -9492-3903. Quadcopter stabilization with neural network.

Degree: Electrical and Computer Engineering, 2016, University of Texas – Austin

 UAVs (Unmanned Aerial Vehicle), also known as drones, are becoming attractive in the consumer space due to their relatively low cost and their ability to… (more)

Subjects/Keywords: Quadcopter; PID; Neural network; Stabilization

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APA (6th Edition):

-9492-3903. (2016). Quadcopter stabilization with neural network. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45875

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

Chicago Manual of Style (16th Edition):

-9492-3903. “Quadcopter stabilization with neural network.” 2016. Thesis, University of Texas – Austin. Accessed April 24, 2019. http://hdl.handle.net/2152/45875.

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

MLA Handbook (7th Edition):

-9492-3903. “Quadcopter stabilization with neural network.” 2016. Web. 24 Apr 2019.

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

Vancouver:

-9492-3903. Quadcopter stabilization with neural network. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/2152/45875.

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

Council of Science Editors:

-9492-3903. Quadcopter stabilization with neural network. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45875

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


University of Illinois – Urbana-Champaign

27. Yeh, Raymond Alexander. Stable and symmetric convolutional neural network.

Degree: MS, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 First we present a proof that convolutional neural networks (CNNs) with max-norm regularization, max-pooling, and Relu non-linearity are stable to additive noise. Second, we explore… (more)

Subjects/Keywords: convolutional neural network; deep learning

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APA (6th Edition):

Yeh, R. A. (2016). Stable and symmetric convolutional neural network. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92687

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):

Yeh, Raymond Alexander. “Stable and symmetric convolutional neural network.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed April 24, 2019. http://hdl.handle.net/2142/92687.

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

MLA Handbook (7th Edition):

Yeh, Raymond Alexander. “Stable and symmetric convolutional neural network.” 2016. Web. 24 Apr 2019.

Vancouver:

Yeh RA. Stable and symmetric convolutional neural network. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/2142/92687.

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

Council of Science Editors:

Yeh RA. Stable and symmetric convolutional neural network. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92687

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


University of Notre Dame

28. Gregory James Davis. Modeling the Symbolic Control of Visual Attention</h1>.

Degree: PhD, Computer Science and Engineering, 2014, University of Notre Dame

  Humans use a variety of perceptual and conceptual symbols to orient visuo- spatial attention around the visual field. Much of the research investigating the… (more)

Subjects/Keywords: Attention Modeling Neural Network

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APA (6th Edition):

Davis, G. J. (2014). Modeling the Symbolic Control of Visual Attention</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/rb68x922w14

Chicago Manual of Style (16th Edition):

Davis, Gregory James. “Modeling the Symbolic Control of Visual Attention</h1>.” 2014. Doctoral Dissertation, University of Notre Dame. Accessed April 24, 2019. https://curate.nd.edu/show/rb68x922w14.

MLA Handbook (7th Edition):

Davis, Gregory James. “Modeling the Symbolic Control of Visual Attention</h1>.” 2014. Web. 24 Apr 2019.

Vancouver:

Davis GJ. Modeling the Symbolic Control of Visual Attention</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2014. [cited 2019 Apr 24]. Available from: https://curate.nd.edu/show/rb68x922w14.

Council of Science Editors:

Davis GJ. Modeling the Symbolic Control of Visual Attention</h1>. [Doctoral Dissertation]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/rb68x922w14


Penn State University

29. Ma, Jaehyun. DESIGN OF AN EFFECTIVE WATER-ALTERNATING-GAS(WAG) INJECTION PROCESS USING ARTIFICIAL EXPERT SYSTEMS.

Degree: MS, Petroleum and Natural Gas Engineering, 2010, Penn State University

 Numerical reservoir simulators are commonly used to simulate the water-alternating-gas process for hydrocarbon reservoir. However, a reservoir simulation study can only provide information about the… (more)

Subjects/Keywords: artificial neural network; WAG; inverse network

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APA (6th Edition):

Ma, J. (2010). DESIGN OF AN EFFECTIVE WATER-ALTERNATING-GAS(WAG) INJECTION PROCESS USING ARTIFICIAL EXPERT SYSTEMS. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10786

Chicago Manual of Style (16th Edition):

Ma, Jaehyun. “DESIGN OF AN EFFECTIVE WATER-ALTERNATING-GAS(WAG) INJECTION PROCESS USING ARTIFICIAL EXPERT SYSTEMS.” 2010. Masters Thesis, Penn State University. Accessed April 24, 2019. https://etda.libraries.psu.edu/catalog/10786.

MLA Handbook (7th Edition):

Ma, Jaehyun. “DESIGN OF AN EFFECTIVE WATER-ALTERNATING-GAS(WAG) INJECTION PROCESS USING ARTIFICIAL EXPERT SYSTEMS.” 2010. Web. 24 Apr 2019.

Vancouver:

Ma J. DESIGN OF AN EFFECTIVE WATER-ALTERNATING-GAS(WAG) INJECTION PROCESS USING ARTIFICIAL EXPERT SYSTEMS. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Apr 24]. Available from: https://etda.libraries.psu.edu/catalog/10786.

Council of Science Editors:

Ma J. DESIGN OF AN EFFECTIVE WATER-ALTERNATING-GAS(WAG) INJECTION PROCESS USING ARTIFICIAL EXPERT SYSTEMS. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10786


University of Ottawa

30. Zhou, Yang. Video Super-Resolution via Dynamic Local Filter Network .

Degree: 2018, University of Ottawa

 Video super-resolution (VSR) aims to give a satisfying estimation of a high-resolution (HR) image from multiple similar low-resolution (LR) images by exploiting their hidden redundancy.… (more)

Subjects/Keywords: super-resolution; neural network; dynamic filter network

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APA (6th Edition):

Zhou, Y. (2018). Video Super-Resolution via Dynamic Local Filter Network . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/37939

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):

Zhou, Yang. “Video Super-Resolution via Dynamic Local Filter Network .” 2018. Thesis, University of Ottawa. Accessed April 24, 2019. http://hdl.handle.net/10393/37939.

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

MLA Handbook (7th Edition):

Zhou, Yang. “Video Super-Resolution via Dynamic Local Filter Network .” 2018. Web. 24 Apr 2019.

Vancouver:

Zhou Y. Video Super-Resolution via Dynamic Local Filter Network . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2019 Apr 24]. Available from: http://hdl.handle.net/10393/37939.

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

Council of Science Editors:

Zhou Y. Video Super-Resolution via Dynamic Local Filter Network . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/37939

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

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