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University of Glasgow (United Kingdom). Department not provided. degree granting institution.

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Ahmad, Ayesha, author.

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Almada, Demetrius J., author.

(1)

California State University, Los Angeles. Computer Science. degree granting institution.

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Chang, Kai Ming, author.

(1)

Cifuentes, Diego, author.

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Cornell University. Electrical & Computer Engrng. degree granting institution.

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Cucek, Lidija, author.

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Davis, John McDonald Cameron, author.

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Driscoll, Megan Philipa, author.

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Jadhav, Shrikant Shridhar, author.

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Keshavarzi, Parviz, author.

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Long Island University, The Brooklyn Center. degree granting institution.

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Purdue University. Electrical and Computer Engineering. degree granting institution.

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Rutgers The State University of New Jersey, School of Graduate Studies. Computer Science. degree granting institution.

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Rutgers The State University of New Jersey, School of Graduate Studies. Electrical and Computer Engineering. degree granting institution.

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San Jose State University. Physics. degree granting institution.

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The University of Mississippi. Computer Science. degree granting institution.

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The University of Wisconsin - Madison. Statistics. degree granting institution.

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University of California, Los Angeles. Art History 0093. degree granting institution.

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Wang, Anshu, author.

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Wang, Chao, author. (orcid)0000-0003-4888-4565

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Xiao, Houping, author. (orcid)0000-0002-6981-8842

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Transfer Learning with Deep Neural Networks for Computer Vision için kapak resmi

Transfer Learning with Deep Neural Networks for Computer Vision

1.

Transfer Learning with Deep Neural Networks for Computer Vision

by

Xie, Junyuan, 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:13807035

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Transfer Learning with Deep Neural Networks for Computer Vision / Xie, Junyuan, author.

Characterisation of droplet-compartmentalised chemical oscillator networks using computer vision için kapak resmi

Characterisation of droplet-compartmentalised chemical oscillator networks using computer vision

2.

Characterisation of droplet-compartmentalised chemical oscillator networks using computer vision

by

Chang, Kai Ming, 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:13875992

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Characterisation of droplet-compartmentalised chemical oscillator networks using computer vision /

Deep neural networks in computer vision and biomedical image analysis için kapak resmi

Deep neural networks in computer vision and biomedical image analysis

3.

Deep neural networks in computer vision and biomedical image analysis

by

Xie, Weidi, 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:13875804

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Deep neural networks in computer vision and biomedical image analysis / Xie, Weidi, author.

Communication concepts and their implementation in computer networks için kapak resmi

Communication concepts and their implementation in computer networks

4.

Communication concepts and their implementation in computer networks

by

Davis, John McDonald Cameron, 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:10868252

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Communication concepts and their implementation in computer networks / Davis, John McDonald Cameron

Learning Disentangled Representations in Deep Visual Analysis için kapak resmi

Learning Disentangled Representations in Deep Visual Analysis

5.

Learning Disentangled Representations in Deep Visual Analysis

by

Peng, Xi, 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:10902040

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learning and computer vision. Over the last decade, deep neural networks have achieved remarkable success

Object Recognition in 3D Data Using Capsules için kapak resmi

Object Recognition in 3D Data Using Capsules

6.

Object Recognition in 3D Data Using Capsules

by

Ahmad, Ayesha, 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:10817027

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convolutional neural networks (CNNs), which are very successful in extracting features from the data. However

A Medley of Ising Models: Monte Carlo Solutions and Machine Learning Applications için kapak resmi

A Medley of Ising Models: Monte Carlo Solutions and Machine Learning Applications

7.

A Medley of Ising Models: Monte Carlo Solutions and Machine Learning Applications

by

Almada, Demetrius J., 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:10829466

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-Wave quantum computer. As a result, we found that temperature chaos must be caused by structures deeper than

Application of Generative Adversarial Network on Image Style Transformation and Image Processing için kapak resmi

Application of Generative Adversarial Network on Image Style Transformation and Image Processing

8.

Application of Generative Adversarial Network on Image Style Transformation and Image Processing

by

Wang, Anshu, 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:10830251

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produced powerful tools for the task. Conditional adversarial networks serve as a general-purpose solution

Synthesis of sustainable bioprocesses using computer-aided process engineering için kapak resmi

Synthesis of sustainable bioprocesses using computer-aided process engineering

9.

Synthesis of sustainable bioprocesses using computer-aided process engineering

by

Cucek, Lidija, 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:10867725

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of sustainable bioprocesses using computer-aided process engineering. In the first part the synthesis

Traffic Vision, Tracking and Counting Using Machine Learning and Machine Vision için kapak resmi

Traffic Vision, Tracking and Counting Using Machine Learning and Machine Vision

10.

Traffic Vision, Tracking and Counting Using Machine Learning and Machine Vision

by

Wang, Haiyan, 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:10814367

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algorithms, various machine learning algorithms including deep neural networks, and optimal state estimator

Feed The Addiction, Starve The Leisure: Societal changes, their effects on media consumption and subsequent influence on production için kapak resmi

Feed The Addiction, Starve The Leisure: Societal changes, their effects on media consumption and subsequent influence on production

11.

Feed The Addiction, Starve The Leisure: Societal changes, their effects on media consumption and subsequent influence on production

by

Zagottis, Frank C., 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:10868707

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networks like ABC, NBC. CBS and even FOX. What is also gone is the ability to find the time to gather in

On the Feasibility of Using Connectivity Measures for Decoding Brain States için kapak resmi

On the Feasibility of Using Connectivity Measures for Decoding Brain States

12.

On the Feasibility of Using Connectivity Measures for Decoding Brain States

by

Yang, Anthony, 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:10902317

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Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) as classifiers. Results obtained

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