Today's business world is changing with the adoption of the internet of things (IoT). IoT is helping in prominently capturing a tremendous amount of data from multiple sources. Realizing the future and full potential of IoT devices will require an investment in new technologies. Deep Learning Techniques for Cloud-Based Industrial IoT demonstrates how the computer scientists and engineers of today might employ artificial intelligence in practical applications with the emerging cloud and IoT technologies. The book also gathers recent research works in emerging artificial intelligence methods and applications for processing and storing the data generated from the cloud-based internet of things. Covering key topics such as data, cybersecurity, blockchain, and artificial intelligence, this premier reference source is ideal for industry professionals, engineers, computer scientists, researchers, scholars, academicians, practitioners, instructors, and students.

Looking for a high-quality, original digital edition of Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT ? This official electronic version is published by IGI Global and offers a seamless reading experience, perfect for professionals, students, and enthusiasts in Computer Engineering.
Unlike EPUB files, this is the authentic digital edition with complete formatting, images, and original content as intended by the author .
Enjoy the convenience of digital reading without compromising on quality. Order Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT today and get instant access to this essential book!