Handbook of Research on Applications and Implementations of Machine Learning Techniques, Sathiyamoorthi Velayutham

Автор: Padmavathi Ganapathi, D. Shanmugapriya
Название: Handbook of Research on Machine and Deep Learning Applications for Cyber Security
ISBN: 1522596119 ISBN-13(EAN): 9781522596110
Издательство: Mare Nostrum (Eurospan)
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Цена: 264270.00 T
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Описание: As the advancement of technology continues, cyber security continues to play a significant role in today's world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security.

The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Автор: Shouvik Chakraborty, Kalyani Mali
Название: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
ISBN: 1799827372 ISBN-13(EAN): 9781799827375
Издательство: Mare Nostrum (Eurospan)
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Цена: 134910.00 T
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Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.

Автор: Shouvik Chakraborty, Kalyani Mali
Название: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
ISBN: 1799827364 ISBN-13(EAN): 9781799827368
Издательство: Mare Nostrum (Eurospan)
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Цена: 174630.00 T
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Описание: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.

Автор: Aboul Ella Hassanien, Ashraf Darwish, Chiranji Lal Chowdhary
Название: Handbook of Research on Deep Learning Innovations and Trends
ISBN: 1522578625 ISBN-13(EAN): 9781522578628
Издательство: Mare Nostrum (Eurospan)
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Цена: 287370.00 T
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Описание: Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning. As such, deep learning has now been recognized in various real-world applications such as computer vision, image processing, biometrics, pattern recognition, and medical imaging. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. The Handbook of Research on Deep Learning Innovations and Trends is an essential scholarly resource that presents current trends and the latest research on deep learning and explores the concepts, algorithms, and techniques of data mining and analysis. Highlighting topics such as computer vision, encryption systems, and biometrics, this book is ideal for researchers, practitioners, industry professionals, students, and academicians.

Автор: Bhattacharyya Siddhartha, Banerjee Pinaki, Majumdar Dipankar
Название: Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
ISBN: 1466694742 ISBN-13(EAN): 9781466694743
Издательство: Mare Nostrum (Eurospan)
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Цена: 277200.00 T
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Описание: Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent.The Handbook of Research on Advanced Research on Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.

Автор: Madhumangal Pal, Sovan Samanta, Anita Pal
Название: Handbook of Research on Advanced Applications of Graph Theory in Modern Society
ISBN: 1522593802 ISBN-13(EAN): 9781522593805
Издательство: Mare Nostrum (Eurospan)
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Цена: 219910.00 T
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Описание: In the world of mathematics and computer science, technological advancements are constantly being researched and applied to ongoing issues. Setbacks in social networking, engineering, and automation are themes that affect everyday life, and researchers have been looking for new techniques in which to solve these challenges. Graph theory is a widely studied topic that is now being applied to real-life problems.

Advanced Applications of Graph Theory in Modern Society is an essential reference source that discusses recent developments on graph theory, as well as its representation in social networks, artificial neural networks, and many complex networks. The book aims to study results that are useful in the fields of robotics and machine learning and will examine different engineering issues that are closely related to fuzzy graph theory. Featuring research on topics such as artificial neural systems and robotics, this book is ideally designed for mathematicians, research scholars, practitioners, professionals, engineers, and students seeking an innovative overview of graphic theory.

Автор: Aboul Ella Hassanien, Tarek Gaber
Название: Handbook of Research on Machine Learning Innovations and Trends
ISBN: 1522522298 ISBN-13(EAN): 9781522522294
Издательство: Mare Nostrum (Eurospan)
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Цена: 451830.00 T
Наличие на складе: Невозможна поставка.
Описание: Presents the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.

Автор: Iasson Karafyllis; Miroslav Krstic
Название: Predictor Feedback for Delay Systems: Implementations and Approximations
ISBN: 3319423770 ISBN-13(EAN): 9783319423777
Издательство: Springer
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Цена: 102480.00 T
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Описание: Preview of Predictor Feedback and Delay Compensation.- Part I: Linear Systems Under Predictor Feedback.- Linear Systems with State Measurement.- Linear Systems with Output Measurement.- Part II: Nonlinear Systems Under Predictor Feedback.- Nonlinear Systems with State Measurement.- Nonlinear Systems with Output Measurement.- Application to the Chemostat.- Part III: Extensions of Predictor Feedback.- Systems Described by Integral Delay Equations.- Discrete-Time Systems.

Автор: Sied Mehdi Fakhraie; Kenneth C. Smith
Название: VLSI — Compatible Implementations for Artificial Neural Networks
ISBN: 0792398254 ISBN-13(EAN): 9780792398257
Издательство: Springer
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Цена: 158380.00 T
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Описание: Introduces an approach to biologically-inspired and VLSI-compatible definition, simulation, and implementation of artificial neural networks. This book develops a set of guidelines for general hardware implementation of artificial neural networks. It provides a geometrical interpretation of the behavior of different variants of these networks.

Название: Handbook of research on emerging trends and applications of machine learning
ISBN: 1522596437 ISBN-13(EAN): 9781522596431
Издательство: Mare Nostrum (Eurospan)
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Цена: 335410.00 T
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Описание: Provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, the book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science.

Автор: Srinivasa K. G., Siddesh G. M., Manisekhar S. R.
Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
ISBN: 9811524440 ISBN-13(EAN): 9789811524448
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.

Автор: Siddhivinayak Kulkarni
Название: Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques
ISBN: 1466618337 ISBN-13(EAN): 9781466618336
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.