• Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things cover
1 1

Sachin , Akian College of Science and Engineering, Yerevan, Armenia) Kumar

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

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

💎 Earn 566 Points (£5.66) on this item.

ORDERED FOR YOU

We can order this item for you. Delivery usually takes about 4 to 6 weeks.

This item is not held in our immediate stock. We will order it for you after checkout.

Estimated delivery: About 4 to 6 weeks

£113.28 GBP
£120.00 GBP £113.28 GBP
Sale Sold out
Taxes included. Shipping calculated at checkout.

YOU SAVE £6.72

  • Condition: Brand new
  • UK Delivery times: Usually arrives within 2 - 3 working days
  • UK Shipping: Fee starts at £2.39. Subject to product weight & dimension

Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
  • More about Machine Learning and Deep Learning Driven Techniques for Multimodal Data Security in the Internet of Multimedia Things
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.
  • Publication date: 1 September 2026
  • Page count: 274
  • Dimensions: Height 234 mm; Width 156 mm
  • Publisher: Institution of Engineering and Technology
  • Format: Hardback
  • ISBN-13: 9781837241354

UK and International shipping information

UK Delivery and returns information:

  • Delivery within 2 - 3 days when ordering in the UK.
  • Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
  • Returns policy: Return within 30 days of receipt for full refund.

International deliveries:

Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.

  • Delivery times: within 5 - 10 days for international orders.
  • Shipping fee: charges vary for overseas orders. Only tracked services are available for most international orders. Some countries have untracked shipping options.
  • Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
View full details