Applications of Evolutionary Computing (vol. # 3449)
Evolutionary computation (EC) techniques are e?cient nature-inspired pl- ning and optimization methods based on the principles ...
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Applications of Evolutionary Computing (vol. # 3907)
This book constitutes the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2006, held ...
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Applications of Evolutionary Computing : EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings
This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used ...
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Applications of Gene-Based Technologies for Improving Animal Production and Health in Developing Countries
This book will help in bridging the wide gap between developed and developing countries, in the development and use of gene-based ...
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Applications of Graph Transformations with Industrial Relevance : Third International Symposium, AGTIVE 2007, Kassel, Germany, October 10-12, 2007, Revised Selected and Invited Papers
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Symposium on Applications ...
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Applications of Specification and Design Languages for SoCs
This book provides detailed insights into recent works dealing with a large spectrum of issues in system-on-chip design, ...
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Applications of Time Delay Systems
This book provides an update of the latest research in control of time delay systems and applications by world leading experts. ...
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Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
This book constitutes the refereed proceedings of the 16th International Symposium on Applied Algebra, Algebraic Algorithms ...
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Applied Bioinformatics
In this book, anyone who can operate a PC, standard software and the Internet will learn to understand the biological basis ...
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Applied Charged Particle Optics
Authored by a pioneer of the field, this overview of charged particle optics provides a solid introduction to the field for ...
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Applied Cryptography and Network Security
The book is organized in topical sections on signature schemes, computer and network security, cryptanalysis, group-oriented ...
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Applied Cryptography and Network Security
The book is organized in topical sections on signature schemes, computer and network security, cryptanalysis, group-oriented ...
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Applied Cryptography and Network Security
The two-volume set LNCS 12726 + 12727 constitutes the proceedings of the 19th International Conference on Applied Cryptography ...
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Applied Cryptography and Network Security
This two-volume set of LNCS 12146 and 12147 constitutes the refereed proceedings of the 18th International Conference on ...
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Applied Cryptography and Network Security
This two-volume set of LNCS 12146 and 12147 constitutes the refereed proceedings of the 18th International Conference on ...
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Applied Cryptography and Network Security (vol. # 3531)
The 3rd International Conference on Applied Cryptography and Network Security (ACNS 2005) was sponsored and organized by ...
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Applied Cryptography and Network Security (vol. # 3989)
The 4th International Conference on Applied Cryptography and Network Security(ACNS 2006)washeldin Singapore,during June6-9,2006.ACNS ...
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Applied Cryptography and Network Security : 6th International Conference, ACNS 2008, New York, NY, USA, June 3-6, 2008. Proceedings
This book constitutes the refereed proceedings of the 6th International Conference on Applied Cryptography and Network Security, ...
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Applied Cryptography and Network Security Workshops : ACNS 2020 Satellite Workshops, AIBlock, AIHWS, AIoTS, Cloud S&P, SCI, SecMT, and SiMLA, Rome, Italy, October 19–22, 2020, Proceedings
This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied ...
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python / Umberto Michelucci
Focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning ...
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