Screen LibraryExamining the impact of deep learning and IoT on multi-industry applications /
"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 metho
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| Group Author: | ; |
|---|---|
| Published: |
Engineering Science Reference, an imprint of IGI Global,
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| Publisher Address: | Hershey, PA : |
| Publication Dates: | [2021] |
| Literature type: | Book |
| Language: | English |
| Series: |
Advances in web technologies and engineering (AWTE) book series,
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| Subjects: | |
| Summary: |
"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 metho |
| Carrier Form: | xx, 304 pages : illustrations, forms ; 29 cm. |
| Bibliography: | Includes bibliographical references (pages 270-298) and index. |
| ISBN: |
9781799875116 (hardcover) : 1799875113 (hardcover) 9781799875178 (ebook) 1799875172 (ebook) |
| Index Number: | TK5105 |
| CLC: |
TP181 TP393.4 |
| Call Number: | TP393.4/E961-1 |
| Contents: | An investigation for cellular automata-based lightweight data security model towards possible uses in fog networks / Arnab Mitra, Siksha 'O' Anusandhan, (Deemed to be University), India, Sayantan Saha, Siksha 'O' Anusandhan (Deemed to be University), In |