benedict shajulin (24 risultati)

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Condizione: New. In.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Gebunden. Condizione: New. &Uumlber den AutorShajulin Benedict graduated in 2001 from Manonmaniam Sunderanar University, India, with Distinction. In 2004, he received ME degree in Digital Communication and Computer Networking from A.K.C.E, Anna University, Chenna.

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Condizione: Neu. Neuware - 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.

Buch. Condizione: Neu. Neuware - Artificial intelligence is gaining traction in areas of social responsibility. From climate change to social polarization to epidemics, humankind has been seeking new solutions to these ever-present problems. Deep Learning (DL) techniques have increased in power in recent years, with algorithms already exhibiting tremendous possibilities in domains such as scientific research, agriculture, smart cities, finance, healthcare, conservation, the environment, industry and more. Innovative ideas using appropriate DL frameworks are now actively employed for the development and delivering a positive impact on smart cities and societies. This book highlights the importance of specific frameworks such as IoT-enabled frameworks or serverless cloud frameworks that are applying DL techniques for solving persistent societal problems. It addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modelling different types of data. In particular, the book explores and emphasises techniques involved in deep learning such as image classification, image enhancement, word analysis, human-machine emotional interfaces and the applications of these techniques for smart cities and societal problems. To extend a theoretical description the book is enhanced through case studies, including those implemented using tensorflow2 and relevant IoT-specific sensor/actuator frameworks. The broad coverage will be essential reading not just to advanced students and academic researchers but also to practitioners and engineers looking to deliver an improved society and global health.

hardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: new. Hardcover. 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 studiesIncludes 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 The book explores edge intelligent techniques and solutions that can be incorporated into IoT-enabled applications. It paves way for researchers and innovators to rethink the application of edge intelligent techniques for their problem domains. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. 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 studiesIncludes 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 The book explores edge intelligent techniques and solutions that can be incorporated into IoT-enabled applications. It paves way for researchers and innovators to rethink the application of edge intelligent techniques for their problem domains. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. 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 studiesIncludes 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 The book explores edge intelligent techniques and solutions that can be incorporated into IoT-enabled applications. It paves way for researchers and innovators to rethink the application of edge intelligent techniques for their problem domains. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.