Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things (Hardcover)

Idioma: inglés

Editorial: Institution of Engineering and Technology, Stevenage, 2026

183724135X / 9781837241354

Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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Hardcover. We are living in an AI and data-driven era. A huge volume of data is generated from all sectors including smart cities, intelligent transportation systems, smart healthcare, education, smart agriculture and smart industrial processes. This information comprises multiple modalities such as textual data, images, sound, gestures and genetic sequences, which are generated through various sources.The internet of multimedia things (IoMT) is one of the key contributors to the collection, analysis and management of voluminous multimodal data. The dominating features of IoMTs are well-timed delivery of data and dependability, but they require high levels of memory and computational power, which requires higher bandwidth and more power. Therefore, they require rigorous quality of service (QoS) and efficient, reliable and secure network frameworks.The objective of this book is to explore machine learning (ML) and deep learning (DL) techniques for securing data with multiple modalities in a wide range of data-centric smart applications in the IoMT framework. In all data-centric application domains where on-time availability of data and reliability are the major concerns, IoMT is contributing significantly. The authors present the challenges faced to organize and process multimodal data in data-centric applications, several types of data modalities, and innovative IoMT frameworks. A particular focus is placed on the role of ML and DL techniques in securing multi-modal data for real-time monitoring in smart environment applications.Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things caters to the needs of AI, big data and IoT advanced students, academic and industry researchers, engineers, security experts, data analysts, and AI and data-centric application developers. This book explores machine learning (ML) and deep learning (DL) techniques for securing data with multiple modalities in a wide range of AI and data-centric smart applications within the Internet of Multimedia Things (IoMT) framework. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

N° de ref. del artículo 9781837241354

Título
Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things (Hardcover)
Autor
Sita Rani
Editorial
Institution of Engineering and Technology, Stevenage
Año de publicación
2026
Estado
new
Encuadernación
Hardcover
Idioma
inglés
ISBN 10
183724135X
ISBN 13
9781837241354

CitiRetail

Stevenage, Reino Unido

Vendedor de 5 estrellas

Vendedor de IberLibro desde 29 de junio de 2022

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Primer artículoEUR 43,62EUR 43,62
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