Edge Intelligence: Deep learning-enabled edge computing

$39.99

. Edge Intelligence: Deep Learning-Enabled Edge Computing is a book that targets researchers and practitioners who are interested in applying intelligence without compromising data privacy. The book reveals the existing edge-AI techniques and forecasts future edge-AI integration methods. The book delves into edge computing architectures after describing relevant basic technologies such as IoT, Cloud Computing, and other security-related architectures. The book starts with an explanation of all relevant basic technologies. It offers a smooth transition from the basics to insightful practical sessions for practitioners. The ideas of providing innovative ideas and applications in the later part of the book can enthuse researchers and developers to engage themselves in innovating newer products with the application of edge intelligence. Key Features: Each chapter includes learning objectives and summaries. Author offers challenges to existing systems, and it will introduce ideas for future developments. Inclusion of case studies Includes business opportunities and economic improvement potential offered by edge intelligence. Showcases architectures and platforms that could be applied using edge intelligence to develop applications in allied technologies, such as smart mobility, drone developments, metaverse creations etc Edge Intelligence: Deep learning-enabled edge computing is written by Shajulin Benedict and published by Institute of Physics Publishing. ISBNs for Edge Intelligence are 9780750355933, 075035593X and the print ISBNs are 9780750355940, 0750355948. Additional ISBNs include 9780750355919, 9780750355957, 9780750355926.

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Edge Intelligence: Deep Learning-Enabled Edge Computing is a book that targets researchers and practitioners who are interested in applying intelligence without compromising data privacy. The book reveals the existing edge-AI techniques and forecasts future edge-AI integration methods. The book delves into edge computing architectures after describing relevant basic technologies such as IoT, Cloud Computing, and other security-related architectures. The book starts with an explanation of all relevant basic technologies. It offers a smooth transition from the basics to insightful practical sessions for practitioners. The ideas of providing innovative ideas and applications in the later part of the book can enthuse researchers and developers to engage themselves in innovating newer products with the application of edge intelligence. Key Features: Each chapter includes learning objectives and summaries. Author offers challenges to existing systems, and it will introduce ideas for future developments. Inclusion of case studies Includes business opportunities and economic improvement potential offered by edge intelligence. Showcases architectures and platforms that could be applied using edge intelligence to develop applications in allied technologies, such as smart mobility, drone developments, metaverse creations etc
Edge Intelligence: Deep learning-enabled edge computing is written by Shajulin Benedict and published by Institute of Physics Publishing. ISBNs for Edge Intelligence are 9780750355933, 075035593X and the print ISBNs are 9780750355940, 0750355948. Additional ISBNs include 9780750355919, 9780750355957, 9780750355926.