Set Theory Techniques And Applications Curaao 1995 And Barcelona 1996 Conferences

Elliptic Curves: Number Theory and Cryptography, Second Edition (Repost)  eBooks & eLearning

Posted by DZ123 at Dec. 25, 2018
Elliptic Curves: Number Theory and Cryptography, Second Edition (Repost)

Lawrence C. Washington, "Elliptic Curves: Number Theory and Cryptography, Second Edition"
English | 2008 | ISBN: 1420071467 | PDF | pages: 524 | 4.6 mb

Cyber Intelligence and Information Retrieval  eBooks & eLearning

Posted by hill0 at Oct. 4, 2021
Cyber Intelligence and Information Retrieval

Cyber Intelligence and Information Retrieval: Proceedings of CIIR 2021
English | 2022 | ISBN: 9811642834 | 630 Pages | PDF | 15 MB

Elliptic Curves: Number Theory and Cryptography (2nd Edition) [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Jan. 4, 2015
Elliptic Curves: Number Theory and Cryptography (2nd Edition) [Repost]

Lawrence C. Washington - Elliptic Curves: Number Theory and Cryptography (2nd Edition)
Published: 2008-04-03 | ISBN: 1420071467 | PDF | 536 pages | 4 MB
Spring Boot Persistence Best Practices: Optimize Java Persistence Performance in Spring Boot Applications

Anghel Leonard, "Spring Boot Persistence Best Practices: Optimize Java Persistence Performance in Spring Boot Applications"
English | ISBN: 1484256255 | 2020 | 1060 pages | EPUB, PDF | 10 MB + 17 MB
Spring Boot Persistence Best Practices: Optimize Java Persistence Performance in Spring Boot Applications

Spring Boot Persistence Best Practices: Optimize Java Persistence Performance in Spring Boot Applications by Anghel Leonard
English | April 30, 2020 | ISBN: 1484256255 | 1057 pages | MOBI | 13 Mb

Breakthroughs in Decision Science and Risk Analysis  eBooks & eLearning

Posted by viserion at March 13, 2015
Breakthroughs in Decision Science and Risk Analysis

Louis Anthony Cox Jr., "Breakthroughs in Decision Science and Risk Analysis"
ISBN: 1118217160 | 2015 | PDF | 328 pages | 2 MB

Recent Advances in Logo Detection Using Machine Learning Paradigms: Theory and Practice  eBooks & eLearning

Posted by Free butterfly at March 1, 2025
Recent Advances in Logo Detection Using Machine Learning Paradigms: Theory and Practice

Recent Advances in Logo Detection Using Machine Learning Paradigms: Theory and Practice (Intelligent Systems Reference Library) by Yen-Wei Chen, Xiang Ruan, Rahul Kumar Jain
English | May 31, 2024 | ISBN: 3031598105 | 131 pages | MOBI | 13 Mb
International Conference on Applications and Techniques in Cyber Security and Intelligence

International Conference on Applications and Techniques in Cyber Security and Intelligence: Applications and Techniques in Cyber Security and Intelligence By Jemal Abawajy
English | PDF | 2017 (2018 Edition) | 534 Pages | ISBN : 3319670700 | 42.35 MB

This book presents the outcomes of the 2017 International Conference on Applications and Techniques in Cyber Security and Intelligence, which focused on all aspects of techniques and applications in cyber and electronic security and intelligence research. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods and applications on all aspects of cyber and electronic security and intelligence.
Partial Differential Equations: Theory, Analysis and Applications : Theory, Analysis and Applications

Partial Differential Equations: Theory, Analysis and Applications : Theory, Analysis and Applications
English | 2011 | ISBN: 9781611228588 | 357 Pages | PDF | 13 MB
Recent Advances in Logo Detection Using Machine Learning Paradigms: Theory and Practice

Recent Advances in Logo Detection Using Machine Learning Paradigms: Theory and Practice by Yen-Wei Chen , Xiang Ruan , Rahul Kumar Jain
English | PDF EPUB (True) | 2024 | 128 Pages | ISBN : 3031598105 | 29.5 MB

This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues.