Examining the Impact of Deep Learning and IoT on Multi-Industry Applications, 1 volume

Roshani Raut

ISBN 10: 1799883582 / ISBN 13: 9781799883586

Published by Engineering Science Reference, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book provides insights on how deep learning, together with IOT, will impact various sectors such as healthcare, agriculture, cyber security, and social media analysis applications offering solutions to various real-world problems using these methods from various researchers' point of views'.

Seller Inventory # 9781799883586

Bibliographic Details

• Title: Examining the Impact of Deep Learning and IoT on Multi-Industry Applications, 1 volume
• Publisher: Engineering Science Reference
• Publication Date: 2021
• Language: English
• ISBN 10: 1799883582
• ISBN 13: 9781799883586
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Deep learning, as a recent AI technique, has proven itself efficient in solving many real-world problems. Deep learning algorithms are efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and developing domains of computer technology. Deep learning algorithms have brought a revolution in computer vision applications by introducing an efficient solution to several image processing-related problems that have long remained unresolved or moderately solved. Various significant IoT technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving and the supported interaction between human beings and their surroundings. The Handbook of Research on the Impact of Deep Learning and IoT on Multi-Industry Applications provides insights on how deep learning, together with IoT, impacts various sectors such as healthcare, agriculture, cyber security, and social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers' points of view. While highlighting topics such as medical diagnosis, power consumption, livestock management, security, and social media analysis, this book is ideal for IT specialists, technologists, security analysts, medical practitioners, imaging specialists, diagnosticians, academicians, researchers, industrial experts, scientists, and undergraduate and postgraduate students who are working in the field of computer engineering, electronics, and electrical engineering.