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You searched for subject:(Machine Engineering). Showing records 1 – 30 of 1769 total matches.

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Drexel University

1. Gulati, Nikhil. Online learning for exploiting diversity in adaptive wireless networks.

Degree: 2015, Drexel University

 The landscape for wireless systems and networks is changing rapidly with new emerging communication paradigms such as machine-to-machine communication (M2M), heterogeneous cellular network (HetNets), cognitive… (more)

Subjects/Keywords: Electrical engineering; Machine learning; Sequential machine theory

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APA (6th Edition):

Gulati, N. (2015). Online learning for exploiting diversity in adaptive wireless networks. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:6347

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):

Gulati, Nikhil. “Online learning for exploiting diversity in adaptive wireless networks.” 2015. Thesis, Drexel University. Accessed April 01, 2020. http://hdl.handle.net/1860/idea:6347.

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

MLA Handbook (7th Edition):

Gulati, Nikhil. “Online learning for exploiting diversity in adaptive wireless networks.” 2015. Web. 01 Apr 2020.

Vancouver:

Gulati N. Online learning for exploiting diversity in adaptive wireless networks. [Internet] [Thesis]. Drexel University; 2015. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1860/idea:6347.

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

Council of Science Editors:

Gulati N. Online learning for exploiting diversity in adaptive wireless networks. [Thesis]. Drexel University; 2015. Available from: http://hdl.handle.net/1860/idea:6347

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

2. Gaeta, Alberto. Fault Tolerant Sensorless Permanent Magnet Synchronous Motor Drives.

Degree: 2012, Università degli Studi di Catania

 High cost and complexity of fault tolerant motor drives has relegated them to mission critical, no-compromise applications. Heeding to this target application, past research efforts… (more)

Subjects/Keywords: Area 09 - Ingegneria industriale e dell'informazione; Fault Tolerant Control, Faulted Machine Modeling, Open-phase Vector Control, Fault Detection, Fault Identification, Sensorless Drives

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APA (6th Edition):

Gaeta, A. (2012). Fault Tolerant Sensorless Permanent Magnet Synchronous Motor Drives. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/996

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):

Gaeta, Alberto. “Fault Tolerant Sensorless Permanent Magnet Synchronous Motor Drives.” 2012. Thesis, Università degli Studi di Catania. Accessed April 01, 2020. http://hdl.handle.net/10761/996.

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

MLA Handbook (7th Edition):

Gaeta, Alberto. “Fault Tolerant Sensorless Permanent Magnet Synchronous Motor Drives.” 2012. Web. 01 Apr 2020.

Vancouver:

Gaeta A. Fault Tolerant Sensorless Permanent Magnet Synchronous Motor Drives. [Internet] [Thesis]. Università degli Studi di Catania; 2012. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/10761/996.

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

Council of Science Editors:

Gaeta A. Fault Tolerant Sensorless Permanent Magnet Synchronous Motor Drives. [Thesis]. Università degli Studi di Catania; 2012. Available from: http://hdl.handle.net/10761/996

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

3. Ventura, Daniela. A New Paradigm for Collaborative Smart Objects to Enable the Development of User-centric Services in Pervasive Environments.

Degree: 2016, Università degli Studi di Catania

 In the near future, people will not be the only consumers of Web content, but also an increasing number of machines will be able to… (more)

Subjects/Keywords: Area 09 - Ingegneria industriale e dell'informazione; Web of Things, Smart Objects, Collaborative Objects, User-centric ServiceS, User-centered Environments, Semantic Web, Reasoning, Machine Learning, User-object Interaction, Eco-awareness, Security

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APA (6th Edition):

Ventura, D. (2016). A New Paradigm for Collaborative Smart Objects to Enable the Development of User-centric Services in Pervasive Environments. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/4086

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):

Ventura, Daniela. “A New Paradigm for Collaborative Smart Objects to Enable the Development of User-centric Services in Pervasive Environments.” 2016. Thesis, Università degli Studi di Catania. Accessed April 01, 2020. http://hdl.handle.net/10761/4086.

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

MLA Handbook (7th Edition):

Ventura, Daniela. “A New Paradigm for Collaborative Smart Objects to Enable the Development of User-centric Services in Pervasive Environments.” 2016. Web. 01 Apr 2020.

Vancouver:

Ventura D. A New Paradigm for Collaborative Smart Objects to Enable the Development of User-centric Services in Pervasive Environments. [Internet] [Thesis]. Università degli Studi di Catania; 2016. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/10761/4086.

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

Council of Science Editors:

Ventura D. A New Paradigm for Collaborative Smart Objects to Enable the Development of User-centric Services in Pervasive Environments. [Thesis]. Università degli Studi di Catania; 2016. Available from: http://hdl.handle.net/10761/4086

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


Université Catholique de Louvain

4. de Lannoy, Gaël. Automated modeling and processing of long-term electrocardiogram signals.

Degree: 2011, Université Catholique de Louvain

Physiological signals consist in the recording of the electrical activity generated by the human body, for instance in the muscles or in the brain. The… (more)

Subjects/Keywords: Machine learning; Biomedical engineering; Electrocardiogram

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APA (6th Edition):

de Lannoy, G. (2011). Automated modeling and processing of long-term electrocardiogram signals. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/73440

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):

de Lannoy, Gaël. “Automated modeling and processing of long-term electrocardiogram signals.” 2011. Thesis, Université Catholique de Louvain. Accessed April 01, 2020. http://hdl.handle.net/2078.1/73440.

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

MLA Handbook (7th Edition):

de Lannoy, Gaël. “Automated modeling and processing of long-term electrocardiogram signals.” 2011. Web. 01 Apr 2020.

Vancouver:

de Lannoy G. Automated modeling and processing of long-term electrocardiogram signals. [Internet] [Thesis]. Université Catholique de Louvain; 2011. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2078.1/73440.

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

Council of Science Editors:

de Lannoy G. Automated modeling and processing of long-term electrocardiogram signals. [Thesis]. Université Catholique de Louvain; 2011. Available from: http://hdl.handle.net/2078.1/73440

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


Drexel University

5. Liu, Yunshu. Extremal Entropy: Information Geometry, Numerical Entropy Mapping, and Machine Learning Application of Associated Conditional Independences.

Degree: 2016, Drexel University

 Entropy and conditional mutual information are the key quantities information theory provides to measure uncertainty of and independence relations between random variables. While these measures… (more)

Subjects/Keywords: Electrical engineering; Entropy; Machine learning

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APA (6th Edition):

Liu, Y. (2016). Extremal Entropy: Information Geometry, Numerical Entropy Mapping, and Machine Learning Application of Associated Conditional Independences. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/idea:6894

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, Yunshu. “Extremal Entropy: Information Geometry, Numerical Entropy Mapping, and Machine Learning Application of Associated Conditional Independences.” 2016. Thesis, Drexel University. Accessed April 01, 2020. http://hdl.handle.net/1860/idea:6894.

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

MLA Handbook (7th Edition):

Liu, Yunshu. “Extremal Entropy: Information Geometry, Numerical Entropy Mapping, and Machine Learning Application of Associated Conditional Independences.” 2016. Web. 01 Apr 2020.

Vancouver:

Liu Y. Extremal Entropy: Information Geometry, Numerical Entropy Mapping, and Machine Learning Application of Associated Conditional Independences. [Internet] [Thesis]. Drexel University; 2016. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1860/idea:6894.

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

Council of Science Editors:

Liu Y. Extremal Entropy: Information Geometry, Numerical Entropy Mapping, and Machine Learning Application of Associated Conditional Independences. [Thesis]. Drexel University; 2016. Available from: http://hdl.handle.net/1860/idea:6894

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


University of Michigan

6. Vandermeulen, Robert A. Functional Analytic Perspectives on Nonparametric Density Estimation.

Degree: PhD, Electrical Engineering: Systems, 2016, University of Michigan

 Nonparametric density estimation is a classic problem in statistics. In the standard estimation setting, when one has access to iid samples from an unknown distribution,… (more)

Subjects/Keywords: Nonparametric Statistics; Machine Learning; Electrical Engineering; Engineering

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APA (6th Edition):

Vandermeulen, R. A. (2016). Functional Analytic Perspectives on Nonparametric Density Estimation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133205

Chicago Manual of Style (16th Edition):

Vandermeulen, Robert A. “Functional Analytic Perspectives on Nonparametric Density Estimation.” 2016. Doctoral Dissertation, University of Michigan. Accessed April 01, 2020. http://hdl.handle.net/2027.42/133205.

MLA Handbook (7th Edition):

Vandermeulen, Robert A. “Functional Analytic Perspectives on Nonparametric Density Estimation.” 2016. Web. 01 Apr 2020.

Vancouver:

Vandermeulen RA. Functional Analytic Perspectives on Nonparametric Density Estimation. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2027.42/133205.

Council of Science Editors:

Vandermeulen RA. Functional Analytic Perspectives on Nonparametric Density Estimation. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133205


The Ohio State University

7. Brown, Max Louis. Optimized form synthesis of machine parts with respect to such variables as performance, cost, life and conformity to constraints.

Degree: PhD, Graduate School, 1968, The Ohio State University

Subjects/Keywords: Engineering; Machine design; Machine parts

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APA (6th Edition):

Brown, M. L. (1968). Optimized form synthesis of machine parts with respect to such variables as performance, cost, life and conformity to constraints. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1486646068587899

Chicago Manual of Style (16th Edition):

Brown, Max Louis. “Optimized form synthesis of machine parts with respect to such variables as performance, cost, life and conformity to constraints.” 1968. Doctoral Dissertation, The Ohio State University. Accessed April 01, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1486646068587899.

MLA Handbook (7th Edition):

Brown, Max Louis. “Optimized form synthesis of machine parts with respect to such variables as performance, cost, life and conformity to constraints.” 1968. Web. 01 Apr 2020.

Vancouver:

Brown ML. Optimized form synthesis of machine parts with respect to such variables as performance, cost, life and conformity to constraints. [Internet] [Doctoral dissertation]. The Ohio State University; 1968. [cited 2020 Apr 01]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486646068587899.

Council of Science Editors:

Brown ML. Optimized form synthesis of machine parts with respect to such variables as performance, cost, life and conformity to constraints. [Doctoral Dissertation]. The Ohio State University; 1968. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1486646068587899


University of California – Berkeley

8. Athalye, Vivek. Mechanisms of neural activity exploration and consolidation underlying neuroprosthetic skill learning.

Degree: Electrical Engineering, 2017, University of California – Berkeley

 The Brain-Machine Interface (BMI) is an emerging technology which directly translates neural activity into control signals for effectors such as computers, prosthetics, or even muscles.… (more)

Subjects/Keywords: Electrical engineering; Neurosciences; Brain-Machine Interfaces; Machine Learning; Operant Learning; Optogenetics

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APA (6th Edition):

Athalye, V. (2017). Mechanisms of neural activity exploration and consolidation underlying neuroprosthetic skill learning. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/8qs5n13w

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):

Athalye, Vivek. “Mechanisms of neural activity exploration and consolidation underlying neuroprosthetic skill learning.” 2017. Thesis, University of California – Berkeley. Accessed April 01, 2020. http://www.escholarship.org/uc/item/8qs5n13w.

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

MLA Handbook (7th Edition):

Athalye, Vivek. “Mechanisms of neural activity exploration and consolidation underlying neuroprosthetic skill learning.” 2017. Web. 01 Apr 2020.

Vancouver:

Athalye V. Mechanisms of neural activity exploration and consolidation underlying neuroprosthetic skill learning. [Internet] [Thesis]. University of California – Berkeley; 2017. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/8qs5n13w.

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

Council of Science Editors:

Athalye V. Mechanisms of neural activity exploration and consolidation underlying neuroprosthetic skill learning. [Thesis]. University of California – Berkeley; 2017. Available from: http://www.escholarship.org/uc/item/8qs5n13w

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


Queen Mary, University of London

9. Li, Yun. Joint scheduling and duty cycle control framework for hierarchical machine-to-machine communication networks.

Degree: PhD, 2016, Queen Mary, University of London

 This thesis presents a novel distributed optimisation framework for machine-tomachine (M2M) communication networks with dynamic traffic generation, heterogeneous applications and different device capabilities. The aim… (more)

Subjects/Keywords: Electronic Engineering and Computer Science; machine-to machine (M2M) communication networks

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APA (6th Edition):

Li, Y. (2016). Joint scheduling and duty cycle control framework for hierarchical machine-to-machine communication networks. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/12851 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775249

Chicago Manual of Style (16th Edition):

Li, Yun. “Joint scheduling and duty cycle control framework for hierarchical machine-to-machine communication networks.” 2016. Doctoral Dissertation, Queen Mary, University of London. Accessed April 01, 2020. http://qmro.qmul.ac.uk/xmlui/handle/123456789/12851 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775249.

MLA Handbook (7th Edition):

Li, Yun. “Joint scheduling and duty cycle control framework for hierarchical machine-to-machine communication networks.” 2016. Web. 01 Apr 2020.

Vancouver:

Li Y. Joint scheduling and duty cycle control framework for hierarchical machine-to-machine communication networks. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2016. [cited 2020 Apr 01]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/12851 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775249.

Council of Science Editors:

Li Y. Joint scheduling and duty cycle control framework for hierarchical machine-to-machine communication networks. [Doctoral Dissertation]. Queen Mary, University of London; 2016. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/12851 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.775249


University of Louisville

10. Torabian Esfahani, Sajjad. Using a multi variate pattern analysis (MVPA) approach to decode FMRI responses to fear and anxiety.

Degree: MS, 2017, University of Louisville

  This study analyzed fMRI responses to fear and anxiety using a Multi Variate Pattern Analysis (MVPA) approach. Compared to conventional univariate methods which only… (more)

Subjects/Keywords: neuroimaging; machine learning; Computer Engineering; Computer Sciences

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APA (6th Edition):

Torabian Esfahani, S. (2017). Using a multi variate pattern analysis (MVPA) approach to decode FMRI responses to fear and anxiety. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2652 ; https://ir.library.louisville.edu/etd/2652

Chicago Manual of Style (16th Edition):

Torabian Esfahani, Sajjad. “Using a multi variate pattern analysis (MVPA) approach to decode FMRI responses to fear and anxiety.” 2017. Masters Thesis, University of Louisville. Accessed April 01, 2020. 10.18297/etd/2652 ; https://ir.library.louisville.edu/etd/2652.

MLA Handbook (7th Edition):

Torabian Esfahani, Sajjad. “Using a multi variate pattern analysis (MVPA) approach to decode FMRI responses to fear and anxiety.” 2017. Web. 01 Apr 2020.

Vancouver:

Torabian Esfahani S. Using a multi variate pattern analysis (MVPA) approach to decode FMRI responses to fear and anxiety. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2020 Apr 01]. Available from: 10.18297/etd/2652 ; https://ir.library.louisville.edu/etd/2652.

Council of Science Editors:

Torabian Esfahani S. Using a multi variate pattern analysis (MVPA) approach to decode FMRI responses to fear and anxiety. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2652 ; https://ir.library.louisville.edu/etd/2652


Anna University

11. Sujatha, S. Support vector machine based modeling and control of a batch reactor; -.

Degree: Electrical and Electronics Engineering, 2014, Anna University

Batch and semi batch reactors are extensively used in chemicals bio newlinechemicals pharmaceuticals and food industries for the production of small newlineamounts of products with… (more)

Subjects/Keywords: electrical engineering; modeling and control; vector machine

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APA (6th Edition):

Sujatha, S. (2014). Support vector machine based modeling and control of a batch reactor; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24524

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):

Sujatha, S. “Support vector machine based modeling and control of a batch reactor; -.” 2014. Thesis, Anna University. Accessed April 01, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24524.

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

MLA Handbook (7th Edition):

Sujatha, S. “Support vector machine based modeling and control of a batch reactor; -.” 2014. Web. 01 Apr 2020.

Vancouver:

Sujatha S. Support vector machine based modeling and control of a batch reactor; -. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Apr 01]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24524.

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

Council of Science Editors:

Sujatha S. Support vector machine based modeling and control of a batch reactor; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24524

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


University of Kansas

12. Wurtz, Joshua James. Development of Mechanical Systems for Automated Medical Slide Specimen Storage and Retrieval.

Degree: MS, Mechanical Engineering, 2014, University of Kansas

 Applying automation to any system or process has the capability of improving reliability and efficiency, and reducing cost and amount of human time/labor necessary. The… (more)

Subjects/Keywords: Engineering; Automation; Clinical; Machine; Retrieval; Slides; Storage

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APA (6th Edition):

Wurtz, J. J. (2014). Development of Mechanical Systems for Automated Medical Slide Specimen Storage and Retrieval. (Masters Thesis). University of Kansas. Retrieved from http://hdl.handle.net/1808/15780

Chicago Manual of Style (16th Edition):

Wurtz, Joshua James. “Development of Mechanical Systems for Automated Medical Slide Specimen Storage and Retrieval.” 2014. Masters Thesis, University of Kansas. Accessed April 01, 2020. http://hdl.handle.net/1808/15780.

MLA Handbook (7th Edition):

Wurtz, Joshua James. “Development of Mechanical Systems for Automated Medical Slide Specimen Storage and Retrieval.” 2014. Web. 01 Apr 2020.

Vancouver:

Wurtz JJ. Development of Mechanical Systems for Automated Medical Slide Specimen Storage and Retrieval. [Internet] [Masters thesis]. University of Kansas; 2014. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1808/15780.

Council of Science Editors:

Wurtz JJ. Development of Mechanical Systems for Automated Medical Slide Specimen Storage and Retrieval. [Masters Thesis]. University of Kansas; 2014. Available from: http://hdl.handle.net/1808/15780


Boston University

13. Wang, Joseph. Local learning by partitioning.

Degree: PhD, Electrical & Computer Engineering, 2015, Boston University

 In many machine learning applications data is assumed to be locally simple, where examples near each other have similar characteristics such as class labels or… (more)

Subjects/Keywords: Electrical engineering; Machine learning; Pattern recognition

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APA (6th Edition):

Wang, J. (2015). Local learning by partitioning. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/15204

Chicago Manual of Style (16th Edition):

Wang, Joseph. “Local learning by partitioning.” 2015. Doctoral Dissertation, Boston University. Accessed April 01, 2020. http://hdl.handle.net/2144/15204.

MLA Handbook (7th Edition):

Wang, Joseph. “Local learning by partitioning.” 2015. Web. 01 Apr 2020.

Vancouver:

Wang J. Local learning by partitioning. [Internet] [Doctoral dissertation]. Boston University; 2015. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2144/15204.

Council of Science Editors:

Wang J. Local learning by partitioning. [Doctoral Dissertation]. Boston University; 2015. Available from: http://hdl.handle.net/2144/15204


University of Cincinnati

14. Atluru, Sri Harshavardhan. Prototype Smart Machine Supervisory System.

Degree: MS, Engineering : Industrial Engineering, 2009, University of Cincinnati

  In today’s competitive world, manufacturers have realized that they need to embrace automation as their mantra to success. However, the impact of automation primarily… (more)

Subjects/Keywords: Industrial Engineering; Smart Machine Supervisory System SMPI

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APA (6th Edition):

Atluru, S. H. (2009). Prototype Smart Machine Supervisory System. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1243367813

Chicago Manual of Style (16th Edition):

Atluru, Sri Harshavardhan. “Prototype Smart Machine Supervisory System.” 2009. Masters Thesis, University of Cincinnati. Accessed April 01, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1243367813.

MLA Handbook (7th Edition):

Atluru, Sri Harshavardhan. “Prototype Smart Machine Supervisory System.” 2009. Web. 01 Apr 2020.

Vancouver:

Atluru SH. Prototype Smart Machine Supervisory System. [Internet] [Masters thesis]. University of Cincinnati; 2009. [cited 2020 Apr 01]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1243367813.

Council of Science Editors:

Atluru SH. Prototype Smart Machine Supervisory System. [Masters Thesis]. University of Cincinnati; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1243367813


University of California – Merced

15. Balaguer, Benjamin Daniel. Robots learning to manipulate: real-time application-oriented algorithms using feature-based and machine learning techniques.

Degree: Electrical Engineering and Computer Science, 2012, University of California – Merced

 In this dissertation, we present four application-driven robotic manipulation tasks that are solved using a combination of feature-based, machine learning, dimensionality reduction, and optimization techniques.… (more)

Subjects/Keywords: Electrical Engineering.; Machine learning techniques.; Robotics.

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APA (6th Edition):

Balaguer, B. D. (2012). Robots learning to manipulate: real-time application-oriented algorithms using feature-based and machine learning techniques. (Thesis). University of California – Merced. Retrieved from http://www.escholarship.org/uc/item/24c7r977

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):

Balaguer, Benjamin Daniel. “Robots learning to manipulate: real-time application-oriented algorithms using feature-based and machine learning techniques.” 2012. Thesis, University of California – Merced. Accessed April 01, 2020. http://www.escholarship.org/uc/item/24c7r977.

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

MLA Handbook (7th Edition):

Balaguer, Benjamin Daniel. “Robots learning to manipulate: real-time application-oriented algorithms using feature-based and machine learning techniques.” 2012. Web. 01 Apr 2020.

Vancouver:

Balaguer BD. Robots learning to manipulate: real-time application-oriented algorithms using feature-based and machine learning techniques. [Internet] [Thesis]. University of California – Merced; 2012. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/24c7r977.

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

Council of Science Editors:

Balaguer BD. Robots learning to manipulate: real-time application-oriented algorithms using feature-based and machine learning techniques. [Thesis]. University of California – Merced; 2012. Available from: http://www.escholarship.org/uc/item/24c7r977

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


University of California – Irvine

16. Ahrar, Siavash. A Programmable Microfluidic Finite State Machine for the Autonomous Lab on a Chip.

Degree: Biomedical Engineering, 2015, University of California – Irvine

 Microfluidics is an adaptation of semiconductor technology to the creation of circuits of gas and liquid. They have enabled the establishment of mechanical and liquid… (more)

Subjects/Keywords: Biomedical engineering; Finite State Machine; Microfluidics

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

APA (6th Edition):

Ahrar, S. (2015). A Programmable Microfluidic Finite State Machine for the Autonomous Lab on a Chip. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/3mx5b4wx

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):

Ahrar, Siavash. “A Programmable Microfluidic Finite State Machine for the Autonomous Lab on a Chip.” 2015. Thesis, University of California – Irvine. Accessed April 01, 2020. http://www.escholarship.org/uc/item/3mx5b4wx.

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

MLA Handbook (7th Edition):

Ahrar, Siavash. “A Programmable Microfluidic Finite State Machine for the Autonomous Lab on a Chip.” 2015. Web. 01 Apr 2020.

Vancouver:

Ahrar S. A Programmable Microfluidic Finite State Machine for the Autonomous Lab on a Chip. [Internet] [Thesis]. University of California – Irvine; 2015. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/3mx5b4wx.

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

Council of Science Editors:

Ahrar S. A Programmable Microfluidic Finite State Machine for the Autonomous Lab on a Chip. [Thesis]. University of California – Irvine; 2015. Available from: http://www.escholarship.org/uc/item/3mx5b4wx

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


University of Tennessee – Knoxville

17. Karnowski, Thomas Paul. Deep Machine Learning with Spatio-Temporal Inference.

Degree: 2012, University of Tennessee – Knoxville

 Deep Machine Learning (DML) refers to methods which utilize hierarchies of more than one or two layers of computational elements to achieve learning. DML may… (more)

Subjects/Keywords: Machine Learning; Image Processing; Other Computer Engineering

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APA (6th Edition):

Karnowski, T. P. (2012). Deep Machine Learning with Spatio-Temporal Inference. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/1315

Chicago Manual of Style (16th Edition):

Karnowski, Thomas Paul. “Deep Machine Learning with Spatio-Temporal Inference.” 2012. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed April 01, 2020. https://trace.tennessee.edu/utk_graddiss/1315.

MLA Handbook (7th Edition):

Karnowski, Thomas Paul. “Deep Machine Learning with Spatio-Temporal Inference.” 2012. Web. 01 Apr 2020.

Vancouver:

Karnowski TP. Deep Machine Learning with Spatio-Temporal Inference. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2012. [cited 2020 Apr 01]. Available from: https://trace.tennessee.edu/utk_graddiss/1315.

Council of Science Editors:

Karnowski TP. Deep Machine Learning with Spatio-Temporal Inference. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2012. Available from: https://trace.tennessee.edu/utk_graddiss/1315

18. Allamanis, Miltiadis. Learning natural coding conventions.

Degree: PhD, 2017, University of Edinburgh

 Coding conventions are ubiquitous in software engineering practice. Maintaining a uniform coding style allows software development teams to communicate through code by making the code… (more)

Subjects/Keywords: machine learning; software engineering; coding conventions

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APA (6th Edition):

Allamanis, M. (2017). Learning natural coding conventions. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/28791

Chicago Manual of Style (16th Edition):

Allamanis, Miltiadis. “Learning natural coding conventions.” 2017. Doctoral Dissertation, University of Edinburgh. Accessed April 01, 2020. http://hdl.handle.net/1842/28791.

MLA Handbook (7th Edition):

Allamanis, Miltiadis. “Learning natural coding conventions.” 2017. Web. 01 Apr 2020.

Vancouver:

Allamanis M. Learning natural coding conventions. [Internet] [Doctoral dissertation]. University of Edinburgh; 2017. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1842/28791.

Council of Science Editors:

Allamanis M. Learning natural coding conventions. [Doctoral Dissertation]. University of Edinburgh; 2017. Available from: http://hdl.handle.net/1842/28791


University of Bridgeport

19. Uddin, Muhammad Fahim. Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization .

Degree: 2019, University of Bridgeport

 Investigated into and motivated by Ensemble Machine Learning (ML) techniques, this thesis contributes to addressing performance, consistency, and integrity issues such as overfitting, underfitting, predictive… (more)

Subjects/Keywords: Algorithms; Machine learning; Feature engineering; Blending

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

APA (6th Edition):

Uddin, M. F. (2019). Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization . (Thesis). University of Bridgeport. Retrieved from https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4010

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):

Uddin, Muhammad Fahim. “Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization .” 2019. Thesis, University of Bridgeport. Accessed April 01, 2020. https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4010.

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

MLA Handbook (7th Edition):

Uddin, Muhammad Fahim. “Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization .” 2019. Web. 01 Apr 2020.

Vancouver:

Uddin MF. Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization . [Internet] [Thesis]. University of Bridgeport; 2019. [cited 2020 Apr 01]. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4010.

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

Council of Science Editors:

Uddin MF. Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization . [Thesis]. University of Bridgeport; 2019. Available from: https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4010

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


Stellenbosch University

20. Essmann, Erich C. A cost model for the manufacture of bipolar plates using micro milling.

Degree: MScEng, Industrial Engineering, 2012, Stellenbosch University

ENGLISH ABSTRACT: In a move towards cleaner and more sustainable energy systems, hydrogen as an energy carrier and hydrogen fuel cells as energy converters are… (more)

Subjects/Keywords: Industrial engineering; Tool life; Machine cutting parameters.

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APA (6th Edition):

Essmann, E. C. (2012). A cost model for the manufacture of bipolar plates using micro milling. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/20319

Chicago Manual of Style (16th Edition):

Essmann, Erich C. “A cost model for the manufacture of bipolar plates using micro milling.” 2012. Masters Thesis, Stellenbosch University. Accessed April 01, 2020. http://hdl.handle.net/10019.1/20319.

MLA Handbook (7th Edition):

Essmann, Erich C. “A cost model for the manufacture of bipolar plates using micro milling.” 2012. Web. 01 Apr 2020.

Vancouver:

Essmann EC. A cost model for the manufacture of bipolar plates using micro milling. [Internet] [Masters thesis]. Stellenbosch University; 2012. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/10019.1/20319.

Council of Science Editors:

Essmann EC. A cost model for the manufacture of bipolar plates using micro milling. [Masters Thesis]. Stellenbosch University; 2012. Available from: http://hdl.handle.net/10019.1/20319


Stellenbosch University

21. Marais, Corne. Estimation of concentrate grade in platinum flotation based on froth image analysis.

Degree: Process Engineering, 2010, Stellenbosch University

Thesis (MScEng (Process Engineering)) – University of Stellenbosch, 2010.

Thesis presented in partial fulfilment of the requirements for the degree MASTER OF SCIENCE IN ENGINEERING (EXTRACTIVE… (more)

Subjects/Keywords: Process engineering; Image Analysis; Machine vision; Platinum

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

APA (6th Edition):

Marais, C. (2010). Estimation of concentrate grade in platinum flotation based on froth image analysis. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/5346

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):

Marais, Corne. “Estimation of concentrate grade in platinum flotation based on froth image analysis.” 2010. Thesis, Stellenbosch University. Accessed April 01, 2020. http://hdl.handle.net/10019.1/5346.

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

MLA Handbook (7th Edition):

Marais, Corne. “Estimation of concentrate grade in platinum flotation based on froth image analysis.” 2010. Web. 01 Apr 2020.

Vancouver:

Marais C. Estimation of concentrate grade in platinum flotation based on froth image analysis. [Internet] [Thesis]. Stellenbosch University; 2010. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/10019.1/5346.

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

Council of Science Editors:

Marais C. Estimation of concentrate grade in platinum flotation based on froth image analysis. [Thesis]. Stellenbosch University; 2010. Available from: http://hdl.handle.net/10019.1/5346

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


UCLA

22. Atan, Onur. Structured Learning and Decision-Making for Medical Informatics.

Degree: Electrical Engineering, 2018, UCLA

 Clinicians are routinely faced with the practical challenge of integrating high-dimensional data in order to make the most appropriate clinical decision from a large set… (more)

Subjects/Keywords: Electrical engineering; Machine Learning; Medical Informatics

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APA (6th Edition):

Atan, O. (2018). Structured Learning and Decision-Making for Medical Informatics. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/5rd173sf

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):

Atan, Onur. “Structured Learning and Decision-Making for Medical Informatics.” 2018. Thesis, UCLA. Accessed April 01, 2020. http://www.escholarship.org/uc/item/5rd173sf.

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

MLA Handbook (7th Edition):

Atan, Onur. “Structured Learning and Decision-Making for Medical Informatics.” 2018. Web. 01 Apr 2020.

Vancouver:

Atan O. Structured Learning and Decision-Making for Medical Informatics. [Internet] [Thesis]. UCLA; 2018. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/5rd173sf.

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

Council of Science Editors:

Atan O. Structured Learning and Decision-Making for Medical Informatics. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/5rd173sf

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


University of Toronto

23. Chowdhury, Tusi. Single Microphone Tap Localization.

Degree: 2013, University of Toronto

This thesis explores a single microphone tap localization interface for smartphones - Extended Touch(ET), that detects user-tapped locations on any neighboring surface. The algorithm combines… (more)

Subjects/Keywords: computer engineering; machine learning; 0537; 0984

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APA (6th Edition):

Chowdhury, T. (2013). Single Microphone Tap Localization. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/42741

Chicago Manual of Style (16th Edition):

Chowdhury, Tusi. “Single Microphone Tap Localization.” 2013. Masters Thesis, University of Toronto. Accessed April 01, 2020. http://hdl.handle.net/1807/42741.

MLA Handbook (7th Edition):

Chowdhury, Tusi. “Single Microphone Tap Localization.” 2013. Web. 01 Apr 2020.

Vancouver:

Chowdhury T. Single Microphone Tap Localization. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/1807/42741.

Council of Science Editors:

Chowdhury T. Single Microphone Tap Localization. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/42741


University of Oxford

24. Pillay, Kirubin. Quantifying brain maturation in the preterm baby from EEG sleep analyses.

Degree: PhD, 2018, University of Oxford

 The preterm (premature) baby, born before term-age of 37 weeks Postmenstrual Age (PMA, the age since the last menstrual cycle of the mother) remains vulnerable… (more)

Subjects/Keywords: Biomedical engineering; Biomedical signal processing; Machine learning

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APA (6th Edition):

Pillay, K. (2018). Quantifying brain maturation in the preterm baby from EEG sleep analyses. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:f22a3412-7358-4ef3-8c10-289f27ad98b4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780499

Chicago Manual of Style (16th Edition):

Pillay, Kirubin. “Quantifying brain maturation in the preterm baby from EEG sleep analyses.” 2018. Doctoral Dissertation, University of Oxford. Accessed April 01, 2020. http://ora.ox.ac.uk/objects/uuid:f22a3412-7358-4ef3-8c10-289f27ad98b4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780499.

MLA Handbook (7th Edition):

Pillay, Kirubin. “Quantifying brain maturation in the preterm baby from EEG sleep analyses.” 2018. Web. 01 Apr 2020.

Vancouver:

Pillay K. Quantifying brain maturation in the preterm baby from EEG sleep analyses. [Internet] [Doctoral dissertation]. University of Oxford; 2018. [cited 2020 Apr 01]. Available from: http://ora.ox.ac.uk/objects/uuid:f22a3412-7358-4ef3-8c10-289f27ad98b4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780499.

Council of Science Editors:

Pillay K. Quantifying brain maturation in the preterm baby from EEG sleep analyses. [Doctoral Dissertation]. University of Oxford; 2018. Available from: http://ora.ox.ac.uk/objects/uuid:f22a3412-7358-4ef3-8c10-289f27ad98b4 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.780499


University of Michigan

25. Talvitie, Erik N. Simple Partial Models for Complex Dynamical Systems.

Degree: PhD, Computer Science & Engineering, 2010, University of Michigan

 An agent in an unknown environment may wish to learn a model that allows it to make predictions about future events and anticipate the consequences… (more)

Subjects/Keywords: Artificial Intelligence; Machine Learning; Computer Science; Engineering

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APA (6th Edition):

Talvitie, E. N. (2010). Simple Partial Models for Complex Dynamical Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/78893

Chicago Manual of Style (16th Edition):

Talvitie, Erik N. “Simple Partial Models for Complex Dynamical Systems.” 2010. Doctoral Dissertation, University of Michigan. Accessed April 01, 2020. http://hdl.handle.net/2027.42/78893.

MLA Handbook (7th Edition):

Talvitie, Erik N. “Simple Partial Models for Complex Dynamical Systems.” 2010. Web. 01 Apr 2020.

Vancouver:

Talvitie EN. Simple Partial Models for Complex Dynamical Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2027.42/78893.

Council of Science Editors:

Talvitie EN. Simple Partial Models for Complex Dynamical Systems. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/78893

26. Hsieh, Kuo-Kai. Toward Autonomous Verification Systems.

Degree: 2018, University of California – eScholarship, University of California

 Design verification has been a challenging problem due to the increasing complexity of modern system-on-chip (SoC) designs and it is considered one of the costliest… (more)

Subjects/Keywords: Computer engineering; Hardware verification; Machine learning

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APA (6th Edition):

Hsieh, K. (2018). Toward Autonomous Verification Systems. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/2hn0t2nh

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):

Hsieh, Kuo-Kai. “Toward Autonomous Verification Systems.” 2018. Thesis, University of California – eScholarship, University of California. Accessed April 01, 2020. http://www.escholarship.org/uc/item/2hn0t2nh.

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

MLA Handbook (7th Edition):

Hsieh, Kuo-Kai. “Toward Autonomous Verification Systems.” 2018. Web. 01 Apr 2020.

Vancouver:

Hsieh K. Toward Autonomous Verification Systems. [Internet] [Thesis]. University of California – eScholarship, University of California; 2018. [cited 2020 Apr 01]. Available from: http://www.escholarship.org/uc/item/2hn0t2nh.

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

Council of Science Editors:

Hsieh K. Toward Autonomous Verification Systems. [Thesis]. University of California – eScholarship, University of California; 2018. Available from: http://www.escholarship.org/uc/item/2hn0t2nh

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


University of Texas – Austin

27. Cai, Shiyao. Predicting rental listing popularity : 2 Sigma connect Renthop.

Degree: MSin Statistics, Statistics, 2017, University of Texas – Austin

 Renting a perfect apartment can be a hassle. There are plenty of features people care about when it comes to finding the apartment, such as… (more)

Subjects/Keywords: Data mining; XGBoost; Feature engineering; Machine learning

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APA (6th Edition):

Cai, S. (2017). Predicting rental listing popularity : 2 Sigma connect Renthop. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62803

Chicago Manual of Style (16th Edition):

Cai, Shiyao. “Predicting rental listing popularity : 2 Sigma connect Renthop.” 2017. Masters Thesis, University of Texas – Austin. Accessed April 01, 2020. http://hdl.handle.net/2152/62803.

MLA Handbook (7th Edition):

Cai, Shiyao. “Predicting rental listing popularity : 2 Sigma connect Renthop.” 2017. Web. 01 Apr 2020.

Vancouver:

Cai S. Predicting rental listing popularity : 2 Sigma connect Renthop. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2152/62803.

Council of Science Editors:

Cai S. Predicting rental listing popularity : 2 Sigma connect Renthop. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62803


University of Louisville

28. Boujelbene, Mariem. Clustering heterogeneous autism spectrum disorder data.

Degree: MS, 2019, University of Louisville

  Autism spectrum disorder (ASD) is a developmental disorder that affects communication and behavior. Several studies have been conducted in the past years to develop… (more)

Subjects/Keywords: clustering; machine learning; autism; Computational Engineering

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APA (6th Edition):

Boujelbene, M. (2019). Clustering heterogeneous autism spectrum disorder data. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/3163 ; https://ir.library.louisville.edu/etd/3163

Chicago Manual of Style (16th Edition):

Boujelbene, Mariem. “Clustering heterogeneous autism spectrum disorder data.” 2019. Masters Thesis, University of Louisville. Accessed April 01, 2020. 10.18297/etd/3163 ; https://ir.library.louisville.edu/etd/3163.

MLA Handbook (7th Edition):

Boujelbene, Mariem. “Clustering heterogeneous autism spectrum disorder data.” 2019. Web. 01 Apr 2020.

Vancouver:

Boujelbene M. Clustering heterogeneous autism spectrum disorder data. [Internet] [Masters thesis]. University of Louisville; 2019. [cited 2020 Apr 01]. Available from: 10.18297/etd/3163 ; https://ir.library.louisville.edu/etd/3163.

Council of Science Editors:

Boujelbene M. Clustering heterogeneous autism spectrum disorder data. [Masters Thesis]. University of Louisville; 2019. Available from: 10.18297/etd/3163 ; https://ir.library.louisville.edu/etd/3163

29. Starefors, Henrik. MLID : A multilabelextension of the ID3 algorithm.

Degree: 2016, , Department of Software Engineering

  AbstractMachine learning is a subfield within artificial intelligence that revolves around constructingalgorithms that can learn from, and make predictions on data. Instead of following… (more)

Subjects/Keywords: ID3; Multilabel; Machine learning; Software Engineering; Programvaruteknik

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APA (6th Edition):

Starefors, H. (2016). MLID : A multilabelextension of the ID3 algorithm. (Thesis). , Department of Software Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13667

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):

Starefors, Henrik. “MLID : A multilabelextension of the ID3 algorithm.” 2016. Thesis, , Department of Software Engineering. Accessed April 01, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13667.

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

MLA Handbook (7th Edition):

Starefors, Henrik. “MLID : A multilabelextension of the ID3 algorithm.” 2016. Web. 01 Apr 2020.

Vancouver:

Starefors H. MLID : A multilabelextension of the ID3 algorithm. [Internet] [Thesis]. , Department of Software Engineering; 2016. [cited 2020 Apr 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13667.

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

Council of Science Editors:

Starefors H. MLID : A multilabelextension of the ID3 algorithm. [Thesis]. , Department of Software Engineering; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13667

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


Northeastern University

30. Guo, Aisheng. Channel Selection In Emg-based Hand Gestureestimation.

Degree: MS, Department of Electrical and Computer Engineering, 2019, Northeastern University

 The HANDS project, led by Prof. Deniz Erdogmus, Prof. Gunar Schirner, and Prof.Taskin Padir, is a mature project team that utilizes Electromyography (EMG) signal to… (more)

Subjects/Keywords: EMG; Machine Learning; NMF; SVM; Electrical engineering

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

APA (6th Edition):

Guo, A. (2019). Channel Selection In Emg-based Hand Gestureestimation. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20328703

Chicago Manual of Style (16th Edition):

Guo, Aisheng. “Channel Selection In Emg-based Hand Gestureestimation.” 2019. Masters Thesis, Northeastern University. Accessed April 01, 2020. http://hdl.handle.net/2047/D20328703.

MLA Handbook (7th Edition):

Guo, Aisheng. “Channel Selection In Emg-based Hand Gestureestimation.” 2019. Web. 01 Apr 2020.

Vancouver:

Guo A. Channel Selection In Emg-based Hand Gestureestimation. [Internet] [Masters thesis]. Northeastern University; 2019. [cited 2020 Apr 01]. Available from: http://hdl.handle.net/2047/D20328703.

Council of Science Editors:

Guo A. Channel Selection In Emg-based Hand Gestureestimation. [Masters Thesis]. Northeastern University; 2019. Available from: http://hdl.handle.net/2047/D20328703

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