Examining 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 methods from various researchers' point of...

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Bibliographic Details
Group Author: Raut, Roshani, 1981- (Editor); Mihovska, Albena (Editor)
Published: Engineering Science Reference, an imprint of IGI Global,
Publisher Address: Hershey, PA :
Publication Dates: [2021]
Literature type: Book
Language: English
Series: Advances in web technologies and engineering (AWTE) book series,
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 methods from various researchers' point of views"--
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), India -- Enhanced text analysis in image spam detection using deep learning techniques / Mallikka Rajalingam, Bharathidasan University, India, Karthick Subramanian, Anna University, India -- Automated hydroponic system integrated with an android smartphone application / Nnamdi Nwulu, University of Johannesburg, South Africa, Darshal Suka, University of Johannesburg, South Africa, Eustace Dogo, University of Johannesburg, South Africa.