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

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Missouri University of Science and Technology. Computer Engineering. degree granting institution.

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University of Florida. Electrical and Computer Engineering. degree granting institution.

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Al-Dabooni, Seaar Jawad Kadhim, author.

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AlMubarak, Haidar Ali, author.

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Ayar, Muharrem, author.

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California State University, Los Angeles. Electrical and Computer Engineering. degree granting institution.

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Carraher, Lee A., author.

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Chao, Hsiao-Han, author.

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Ghasemzadeh, Mohammad, author.

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Hu, Yang, author.

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

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Izenov, Yesdaulet, author.

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Jadhav, Shrikant Shridhar, author.

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Lam, Jasmine, author.

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Lee, Taewook, author.

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Martinez, Gus, author.

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North Carolina Agricultural and Technical State University. Electrical Engineering. degree granting institution.

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Qian, Bin, author.

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

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

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Trindade, Gustavo Ferraz, author.

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University of California, Los Angeles. Electrical Engineering 0303. degree granting institution.

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University of California, San Diego. Electrical Engineering (Computer Engineering). degree granting institution.

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University of Cincinnati. Engineering and Applied Science: Computer Science and Engineering. degree granting institution.

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

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University of Surrey (United Kingdom). degree granting institution.

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Wang, Jing, author.

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Zheng, Amin, author.

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Zhou, Baojian, author.

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Reducing Labeling Complexity in Streaming Data Mining için kapak resmi

Reducing Labeling Complexity in Streaming Data Mining

1.

Reducing Labeling Complexity in Streaming Data Mining

by

Izenov, Yesdaulet, 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:10750272

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Reducing Labeling Complexity in Streaming Data Mining / Izenov, Yesdaulet, author.

Adaptive Dynamic Programming with Eligibility Traces and Complexity Reduction of High-Dimensional Systems için kapak resmi

Adaptive Dynamic Programming with Eligibility Traces and Complexity Reduction of High-Dimensional Systems

2.

Adaptive Dynamic Programming with Eligibility Traces and Complexity Reduction of High-Dimensional Systems

by

Al-Dabooni, Seaar Jawad Kadhim, 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:10689387

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Adaptive Dynamic Programming with Eligibility Traces and Complexity Reduction of High-Dimensional

Deep Learning and Localized Features Fusion for Medical Image Classification için kapak resmi

Deep Learning and Localized Features Fusion for Medical Image Classification

3.

Deep Learning and Localized Features Fusion for Medical Image Classification

by

AlMubarak, Haidar Ali, 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:10743608

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image, and second, by improving the computational complexity of feature analysis to make it viable as a

Field Programmable Gate Array Hardware Design to Optimize Lost-in-Space Algorithm to Increase Performance of Star Tracker Navigational Units için kapak resmi

Field Programmable Gate Array Hardware Design to Optimize Lost-in-Space Algorithm to Increase Performance of Star Tracker Navigational Units

4.

Field Programmable Gate Array Hardware Design to Optimize Lost-in-Space Algorithm to Increase Performance of Star Tracker Navigational Units

by

Martinez, Gus, 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:10811206

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data sets. The design was kept simple since inevitably the complexity of the circuit will increase

Automated Customization of ML Inference on FPGAs için kapak resmi

Automated Customization of ML Inference on FPGAs

5.

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

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learning algorithms, deep neural networks and causal Bayesian analysis. The high computational complexity

The development of multivariate analysis methodologies for complex ToF-SIMS datasets: Applications to materials science için kapak resmi

The development of multivariate analysis methodologies for complex ToF-SIMS datasets: Applications to materials science

6.

The development of multivariate analysis methodologies for complex ToF-SIMS datasets: Applications to materials science

by

Trindade, Gustavo Ferraz, 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:10856982

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of instrument manufacturers together with constant increase in data and data analysis complexity

Data Driven Modeling and State Estimation of Nonlinear Dynamical Systems için kapak resmi

Data Driven Modeling and State Estimation of Nonlinear Dynamical Systems

7.

Data Driven Modeling and State Estimation of Nonlinear Dynamical Systems

by

Lee, Taewook, 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:10825371

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systems. Due to the complexity involved in real world systems, empirical learning process based on the

Structured Low-rank Matrix Approximation in Signal Processing: Semidefinite Formulations and Entropic First-order Methods için kapak resmi

Structured Low-rank Matrix Approximation in Signal Processing: Semidefinite Formulations and Entropic First-order Methods

8.

Structured Low-rank Matrix Approximation in Signal Processing: Semidefinite Formulations and Entropic First-order Methods

by

Chao, Hsiao-Han, 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:10828041

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quadratic in the degree of the polynomial. This should be compared to the cubic per-iteration-complexity of

Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data için kapak resmi

Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data

9.

Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data

by

Carraher, Lee 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:10891676

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distributed with a predictable overall complexity. The principal claim of this research is that while many

Towards Emerging Data Center Architecture in Internet of Things Era için kapak resmi

Towards Emerging Data Center Architecture in Internet of Things Era

10.

Towards Emerging Data Center Architecture in Internet of Things Era

by

Hu, Yang, 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:10902802

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devices and the complexity of handling the huge data flows. The enormous amount of data that generated

Compute-and-Forward Network Coding Design for Wireless Relay Networks için kapak resmi

Compute-and-Forward Network Coding Design for Wireless Relay Networks

11.

Compute-and-Forward Network Coding Design for Wireless Relay Networks

by

Zhou, Baojian, 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:10903444

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the highest computation rate at a single relay. Three methods are proposed: 1. a low-complexity method

High level design methodology for systems including FPGSs için kapak resmi

High level design methodology for systems including FPGSs

12.

High level design methodology for systems including FPGSs

by

Lam, Jasmine, 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:10868161

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abstraction is required to manage the complexity. At the same time, rapid implementation must be employed in

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