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Iowa State University. Electrical and Computer Engineering. degree granting institution.

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Carnegie Mellon University. Electrical and Computer Engineering. degree granting institution.

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Hong Kong University of Science and Technology (Hong Kong). Electronic and Computer Engineering. degree granting institution.

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Syracuse University. Electrical Engineering and Computer Science. degree granting institution.

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Alizadeh, Yasser, author.

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Cai, Ermao, author.

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Cranfield University (United Kingdom). School of Industrial and Manufacturing Science. degree granting institution.

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Elahian, Bahareh, author.

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Fan, Xinyi, author.

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Flanagan, Brian, author.

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Gao, Ruiling, author.

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George Mason University. Electrical and Computer Engineering. degree granting institution.

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Ghasemzadeh, Mohammad, author.

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Gundala palle, Santosh reddy, author.

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Guo, Ziji, author.

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Hamdan, Muhammad K.A., author.

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Hatt, Jospeh M., author.

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Hauger, Dominik Tobias, author.

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Hong Kong University of Science and Technology (Hong Kong). Computer Science and Engineering. degree granting institution.

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Iowa State University. Computer Engineering. degree granting institution.

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Li, Teng, author.

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Malik, Maria, author. (orcid)0000-0001-8425-2501

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Massachusetts Institute of Technology. degree granting institution.

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Michigan Technological University. Electrical & Computer Engineering. degree granting institution.

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Murphy, Quinn, author. (orcid)0000-0002-6011-7118

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Niafar, Samira, author.

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Oklahoma State University. Electrical Engineering. degree granting institution.

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Park, Junkil, author.

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Portland State University. Engineering and Technology Management. degree granting institution.

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Princeton University. Electrical Engineering. degree granting institution.

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Qian, Bin, author.

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Siuliukina, Nataliia, author.

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State University of New York at Buffalo. Mechanical and Aerospace Engineering. degree granting institution.

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The University of Memphis. Electrical & Computer Engineering. degree granting institution.

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Tufts University. Electrical Engineering. degree granting institution.

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Valera, Leobardo, author.

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Cover image for Novel Error Models and Decoding Algorithms for Decode-and-Forward Based Relay Networks

Novel Error Models and Decoding Algorithms for Decode-and-Forward Based Relay Networks

1.

Novel Error Models and Decoding Algorithms for Decode-and-Forward Based Relay Networks

by

Qian, Bin, 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:10903377

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Excerpt:

Novel Error Models and Decoding Algorithms for Decode-and-Forward Based Relay Networks / Qian, Bin

Cover image for World-Wide Cloaking Phishing Websites Detection

World-Wide Cloaking Phishing Websites Detection

2.

World-Wide Cloaking Phishing Websites Detection

by

Guo, Ziji, 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:10745808

Format:

Excerpt:

on 5 of top 10 world Search engines, which are Bing, Ask, Aol, Lycos and Search. We have two models

Cover image for An Analysis of the Computational Performance of a Massively Parallel Perceptual Image Quality Assesment Algorithm Implemented on Multiple Graphics Processing Units

An Analysis of the Computational Performance of a Massively Parallel Perceptual Image Quality Assesment Algorithm Implemented on Multiple Graphics Processing Units

3.

An Analysis of the Computational Performance of a Massively Parallel Perceptual Image Quality Assesment Algorithm Implemented on Multiple Graphics Processing Units

by

Holloway, Joshua Keegan, 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:10187934

Format:

Excerpt:

simplistic models of visual perception, however such an approach has serious drawbacks in terms of poor

Cover image for Mechanical design aspects of a tri-axial accelerometer

Mechanical design aspects of a tri-axial accelerometer

4.

Mechanical design aspects of a tri-axial accelerometer

by

Hatt, Jospeh M., 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:10832221

Format:

Excerpt:

theoretical models have been developed and refined in conjunction with practical fabrication trials. This has

Cover image for Anomaly Detection in Controller Area Network Data Using Hierarchical Analysis

Anomaly Detection in Controller Area Network Data Using Hierarchical Analysis

5.

Anomaly Detection in Controller Area Network Data Using Hierarchical Analysis

by

Flanagan, Brian, 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:10790805

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Excerpt:

predicted using a combination of decision forests and hidden Markov models, using vehicle speed and steering

Cover image for Modeling of Reynolds Stress Tensor with Embedded Galilean Invariance Using a Supervised Deep Learning Algorithm

Modeling of Reynolds Stress Tensor with Embedded Galilean Invariance Using a Supervised Deep Learning Algorithm

6.

Modeling of Reynolds Stress Tensor with Embedded Galilean Invariance Using a Supervised Deep Learning Algorithm

by

Hauger, Dominik Tobias, 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:10809527

Format:

Excerpt:

applicable eddy-viscosity models. Steve Pope in a JFM paper published in 1975 the most general expression for

Cover image for Automated Customization of ML Inference on FPGAs

Automated Customization of ML Inference on FPGAs

7.

Automated Customization of ML Inference on FPGAs

by

Ghasemzadeh, Mohammad, 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:10814231

Format:

Excerpt:

often prohibits the deployment of ML models on resource-constrained embedded devices where memory and

Cover image for View and Path Planning for Scaling 3D Acquisition to Many Objects

View and Path Planning for Scaling 3D Acquisition to Many Objects

8.

View and Path Planning for Scaling 3D Acquisition to Many Objects

by

Fan, Xinyi, 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:10815810

Format:

Excerpt:

automatically acquire 3D models for large collections of small objects.

Cover image for Principal Network Analysis

Principal Network Analysis

9.

Principal Network Analysis

by

Mei, Jonathan 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:10822110

Format:

Excerpt:

models proposed along the way and to characterize their performance. Experiments are performed on

Cover image for Fog Computing Based IoT Applications and Their Performance

Fog Computing Based IoT Applications and Their Performance

10.

Fog Computing Based IoT Applications and Their Performance

by

Gundala palle, Santosh 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:10826020

Format:

Excerpt:

performance for our application models by satisfying the quality of service level agreements (QOSLA). By using

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

11.

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

Format:

Excerpt:

systems. For technology-aware multi-core system design, we learn accurate performance and power models for

Cover image for VHDL Auto-Generation Tool for Optimized Hardware Acceleration of Convolutional Neural Networks on FPGA (VGT)

VHDL Auto-Generation Tool for Optimized Hardware Acceleration of Convolutional Neural Networks on FPGA (VGT)

12.

VHDL Auto-Generation Tool for Optimized Hardware Acceleration of Convolutional Neural Networks on FPGA (VGT)

by

Hamdan, Muhammad K.A., 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:10745603

Format:

Excerpt:

adaptive to different CNN models. We demonstrate the automatic VHDL generation tool and its adaptability by

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