Screen LibraryHandbook of research on deep learning techniques for cloud-based industrial IoT /
"Deep Learning Techniques for Cloud-Based Industrial IoT aims to demonstrate how 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 artifi...
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| Group Author: | ; |
|---|---|
| Published: |
Engineering Science Reference,
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| Publisher Address: | Hershey, PA : |
| Publication Dates: | [2023] |
| Literature type: | Book |
| Language: | English |
| Series: |
Advances in computational intelligence and robotics (ACIR) book series,
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| Subjects: | |
| Summary: |
"Deep Learning Techniques for Cloud-Based Industrial IoT aims to demonstrate how 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"-- |
| Carrier Form: | xxxi, 432 pages : illustrations, forms ; 29 cm. |
| Bibliography: | Includes bibliographical references (pages 386-422) and index. |
| ISBN: |
9781668480984 1668480980 |
| Index Number: | TK5105 |
| CLC: |
TP181-62 TP393.4-62 |
| Call Number: | TP393.4-62/H236-8 |