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Cover image for Machine Learning based Early Fault Diagnosis of Induction Motor for Electric Vehicle Application

Machine Learning based Early Fault Diagnosis of Induction Motor for Electric Vehicle Application

13.

Machine Learning based Early Fault Diagnosis of Induction Motor for Electric Vehicle Application

by

Ghosh, Eshaan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10815968

Format:

Excerpt:

Machine Learning based Early Fault Diagnosis of Induction Motor for Electric Vehicle Application /

Cover image for Machine Learning-Assisted Prediction of Structure and Function of Cystine-Stabilized peptides and Optimization of Expression in an E. coli System

Machine Learning-Assisted Prediction of Structure and Function of Cystine-Stabilized peptides and Optimization of Expression in an E. coli System

14.

Machine Learning-Assisted Prediction of Structure and Function of Cystine-Stabilized peptides and Optimization of Expression in an E. coli System

by

Islam, S. M. Ashiqul, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10784140

Format:

Excerpt:

Machine Learning-Assisted Prediction of Structure and Function of Cystine-Stabilized peptides and

Cover image for Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

15.

Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

by

Cai, Ermao, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10827562

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Excerpt:

Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications /

Cover image for Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach

Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach

16.

Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach

by

Angola Abreu, Enrique D., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829768

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Excerpt:

Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach / Angola Abreu

Cover image for Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

17.

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

by

Guan, Meijian, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813804

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Excerpt:

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment / Guan

Cover image for An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S. Medicare Insurance Program

An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S. Medicare Insurance Program

18.

An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S. Medicare Insurance Program

by

da Rosa, Raquel C., author. (orcid)0000-0003-2055-3887

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10815097

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An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S

Cover image for Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection

Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection

19.

Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection

by

Banerjee, Debrup, author. (orcid)0000-0003-3270-3600

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10633612

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Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection / Banerjee

Cover image for From Motor Control to Scene Perception: Using Machine Learning to Model Human Behavior and Cognition

From Motor Control to Scene Perception: Using Machine Learning to Model Human Behavior and Cognition

20.

From Motor Control to Scene Perception: Using Machine Learning to Model Human Behavior and Cognition

by

Bayat, Akram, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10788957

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Excerpt:

From Motor Control to Scene Perception: Using Machine Learning to Model Human Behavior and

Cover image for Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and Differentiate Between Vulvodynia and Healthy Controls Using High Dimensional Neuroimaging Data

Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and Differentiate Between Vulvodynia and Healthy Controls Using High Dimensional Neuroimaging Data

21.

Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and Differentiate Between Vulvodynia and Healthy Controls Using High Dimensional Neuroimaging Data

by

Gordon, David, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10826659

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Excerpt:

Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and

Cover image for Uncovering the Neural Bases of Mood and Anxiety Disorders: Activity, Static and Dynamic Connectivity, and Machine Learning Approaches

Uncovering the Neural Bases of Mood and Anxiety Disorders: Activity, Static and Dynamic Connectivity, and Machine Learning Approaches

22.

Uncovering the Neural Bases of Mood and Anxiety Disorders: Activity, Static and Dynamic Connectivity, and Machine Learning Approaches

by

Young, Christina B., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10634040

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Connectivity, and Machine Learning Approaches / Young, Christina B., author.

Cover image for Towards Energy Efficient and Reliable 3D Manycore Chip Enabled by Machine Learning

Towards Energy Efficient and Reliable 3D Manycore Chip Enabled by Machine Learning

23.

Towards Energy Efficient and Reliable 3D Manycore Chip Enabled by Machine Learning

by

Das, Sourav, author. (orcid)0000-0002-7404-8133

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10784159

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Towards Energy Efficient and Reliable 3D Manycore Chip Enabled by Machine Learning / Das, Sourav

Cover image for Development of Machine Learning Methodologies to Improve Outcomes in Chronic Inflammatory Diseases

Development of Machine Learning Methodologies to Improve Outcomes in Chronic Inflammatory Diseases

24.

Development of Machine Learning Methodologies to Improve Outcomes in Chronic Inflammatory Diseases

by

Konkayala, Bhargava Reddy, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10641296

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Development of Machine Learning Methodologies to Improve Outcomes in Chronic Inflammatory Diseases /

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