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Alotaibi, Mazen, author.

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Bandekar, Ashutosh, author.

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Begum, Hajira, author.

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Brigham Young University. Electrical and Computer Engineering. degree granting institution.

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Buini, Hamid, author.

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Florida Agricultural and Mechanical University. Computer and Information Sciences. degree granting institution.

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Govindarajan, Sriram, author.

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Habeeb, Richard, author.

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Howard University. Systems and Computer Science. degree granting institution.

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Iowa State University. Computer Science. degree granting institution.

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Kourtev, Hristiyan, author.

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Nair, Kanchan, author.

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Nwafor, Ebelechukwu, author.

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Oklahoma State University. Computer Science. degree granting institution.

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Palle, Saiprasanna, author.

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Queen's University (Canada). degree granting institution.

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Rochester Institute of Technology. Software Engineering. degree granting institution.

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Rubinoff, Morris.

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

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The University of Toledo. Electrical Engineering. degree granting institution.

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University of California, Irvine. Computer Science. degree granting institution.

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

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University of South Florida. Computer Science and Engineering. degree granting institution.

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Yovits, M. C. (Marshall Clinton)

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Zhang, Meng, author. (orcid)0000-0003-1081-7877

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Control System Design Automation Using Reinforcement Learning için kapak resmi

Control System Design Automation Using Reinforcement Learning

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Control System Design Automation Using Reinforcement Learning

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Buini, Hamid, 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:10982320

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Control System Design Automation Using Reinforcement Learning / Buini, Hamid, author.

Improving the Security of Building Automation Systems Through an seL4-based Communication Framework için kapak resmi

Improving the Security of Building Automation Systems Through an seL4-based Communication Framework

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Improving the Security of Building Automation Systems Through an seL4-based Communication Framework

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Habeeb, Richard, 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:10784134

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Improving the Security of Building Automation Systems Through an seL4-based Communication Framework /

Evolutionary Learning of Boosted Features for Visual Inspection Automation için kapak resmi

Evolutionary Learning of Boosted Features for Visual Inspection Automation

3.

Evolutionary Learning of Boosted Features for Visual Inspection Automation

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Zhang, Meng, author. (orcid)0000-0003-1081-7877

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:10788743

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Evolutionary Learning of Boosted Features for Visual Inspection Automation / Zhang, Meng, author

Build automation and optimization for models of embedded real-time systems için kapak resmi

Build automation and optimization for models of embedded real-time systems

4.

Build automation and optimization for models of embedded real-time systems

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Nair, Kanchan, 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:10857291

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Build automation and optimization for models of embedded real-time systems / Nair, Kanchan, author.

A Robust Soft and Vacuum Hybrid End-Effector and Compliant Arm for Picking in Clutter için kapak resmi

A Robust Soft and Vacuum Hybrid End-Effector and Compliant Arm for Picking in Clutter

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A Robust Soft and Vacuum Hybrid End-Effector and Compliant Arm for Picking in Clutter

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Kourtev, Hristiyan, 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:10902323

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Warehouse automation and, in particular, picking, is an increasingly popular application domain due

Smart Locks: Exploring Security Breaches and Access Extensions için kapak resmi

Smart Locks: Exploring Security Breaches and Access Extensions

6.

Smart Locks: Exploring Security Breaches and Access Extensions

by

Palle, Saiprasanna, 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:10607594

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interact with each other, with home automation being the one of the popular fields of IoT. Though IoT can

A Priori Assignment of Question Difficulty for Online Tests için kapak resmi

A Priori Assignment of Question Difficulty for Online Tests

7.

A Priori Assignment of Question Difficulty for Online Tests

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Begum, Hajira, 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:10187485

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A major contribution of this research is the automation of the assignment of question difficulty

Advances in computers. Volume 16 için kapak resmi

Advances in computers. Volume 16

8.

Advances in computers. Volume 16

by

Rubinoff, Morris.

ScienceDirect https://www.sciencedirect.com/science/book/9780120121168
ScienceDirect https://www.sciencedirect.com/science/bookseries/00652458/16

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Alıntı:

Instrumentation; 6. Automation and Intensive Care Units; 7. Automation and the Clinical Laboratory; 8. Transverse

Advances and Challenges in Software Refactoring: A Tertiary Systematic Literature Review için kapak resmi

Advances and Challenges in Software Refactoring: A Tertiary Systematic Literature Review

9.

Advances and Challenges in Software Refactoring: A Tertiary Systematic Literature Review

by

Alotaibi, Mazen, 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:10815378

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targeting the automation of refactoring along with explaining what metrics and objectives were used as means

Data Augmentation for Supervised Learning with Generative Adversarial Networks için kapak resmi

Data Augmentation for Supervised Learning with Generative Adversarial Networks

10.

Data Augmentation for Supervised Learning with Generative Adversarial Networks

by

Podduturi, Manaswi, 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:10790931

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Deep learning is a powerful technology that is revolutionizing automation in many industries. Deep

Trace-Based Data Provenance For Cyber-Physical Systems için kapak resmi

Trace-Based Data Provenance For Cyber-Physical Systems

11.

Trace-Based Data Provenance For Cyber-Physical Systems

by

Nwafor, Ebelechukwu, 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:10823102

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coupling process automation with networked services leading to increased productivity and ease of life

A Secure and Low-Power Consumption Communication Mechanism for IoT (Internet of Things) and Wireless Sensor Networks için kapak resmi

A Secure and Low-Power Consumption Communication Mechanism for IoT (Internet of Things) and Wireless Sensor Networks

12.

A Secure and Low-Power Consumption Communication Mechanism for IoT (Internet of Things) and Wireless Sensor Networks

by

Bandekar, Ashutosh, 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:10901969

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, offer wide variety of applications in various areas including military, medicine, home automation

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