Srivastava / Khare / Awasthi | Multimedia and Multimodal Intelligence for Sustainable Development | Buch | 978-1-041-06250-9 | sack.de

Buch, Englisch, 360 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Multimedia and Multimodal Intelligence

Srivastava / Khare / Awasthi

Multimedia and Multimodal Intelligence for Sustainable Development


1. Auflage 2026
ISBN: 978-1-041-06250-9
Verlag: CRC Press

Buch, Englisch, 360 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Multimedia and Multimodal Intelligence

ISBN: 978-1-041-06250-9
Verlag: CRC Press


The multimodal and multimedia data need to be secured and preserved properly in the present scenario. The methodologies proposed in the book will offer a new paradigm in AI-based techniques. With these approaches, the social good of the modern society will be enhanced. Multimedia, multimodal data, and intelligent systems will deliver insightful comments for sustainable development. Therefore, these challenges have proven exciting for multimedia and multimodal AI researchers. These facts served as the impetus for the writing of this book, which is intended for researchers who fulfill modern society's requirements

Key Features

- Emphasis on interdisciplinary approaches, novel techniques and solutions to provide recent advancements in multimedia and multimodal intelligence for sustainable development of modern society.

-Include new concepts, state-of-the-art security approaches, theories and practices focusing on multimedia and multimodal intelligence for modern society.

- Highlights the security of multimodal data utilizing a fusion of artificial intelligence and soft computing techniques.

The book can be used as a reference book for practicing engineers, scientists, researchers and scientists. It will also be helpful for senior undergraduate and graduate students, practitioners from government and Industry, and professionals working on state-of-the-art multimedia and multimodal intelligence solutions for modern society applications.

Srivastava / Khare / Awasthi Multimedia and Multimodal Intelligence for Sustainable Development jetzt bestellen!

Zielgruppe


Academic, Postgraduate, and Undergraduate Advanced

Weitere Infos & Material


1. Introduction. 2. Multimedia and Multimodal Data Security. 3. Security and Privacy of e-governance Data Using Artificial Intelligence. 4. Multimedia and Multimodal Analysis for Telemedicine Applications. 5. Secured Artificial Intelligence-based Multimedia Communication. 6. Optimization Techniques for Multimedia and Multimodal Data. 7. Artificial Intelligence-based Feature Authentication for Multimedia and Multimodal Data. 8. Multimodal Biometric Fusion Using Artificial Intelligence-based Techniques. 9. Artificial Intelligence-based Multimedia Application for Social Development. 10. Explainability of Artificial Intelligence in Multimedia Security. 11. Security of Multimodal Data Utilizing a Fusion of Artificial Intelligence and Soft Computing Techniques. 12. Multimodal Data Analysis for Remote Multimedia. 13. Multimodal Fusion Techniques for Vital Medical Data. 14. Securing Multimodal Intelligent Data using Encryption Techniques. 15. Industry-based Applications for Multimodal Intelligent systems.


Vinay Kumar SRIVASTAVA (vinay@mnnit.ac.in) received the BE degree in Electronics and Telecommunication Engineering from Govt Engineering College Rewa, MP, India, in 1989, the M Tech degree in Communication Engineering from IIT BHU, Varanasi, India, in 1991, and a Ph.D. degree in Electrical Engineering from IIT Kanpur, India in 2001. After spending a brief period in Indian Telephone Industries Limited, Naini, Allahabad, as an Assistant Executive Engineer, he joined Motilal Nehru National Institute of Technology (MNNIT) Allahabad, India, as a Lecturer in 1992, where he became an Assistant Professor in 2001, Associate Professor in 2006 and Professor in 2010. He has about thirty years of teaching and research experience. He has supervised several B Tech projects, M Tech Theses, and Ph.D. Theses. Till now, he has 68 journals, 55 conferences, and 13 chapters. He serves as the session chairs of many reputed conferences like: IEEE International Conference on Industrial Technology, All India Seminar on Advances in Product Development at Motilal Nehru National Institute of Technology, Allahabad, National workshop on Inclusive Technical Education in National Context: Challenges and Solutions, Conference on Engineering and Systems, International Conference on Power, Control and Embedded Systems etc. He developed two labs (Development of DSP Lab and setting up all the experiments in DSP lab, Computer Architecture Lab) for undergraduates, one lab (Development of DSP Lab and setting up all the experiments in DSP lab) for postgraduates and doctoral students. His research areas include signal and image processing, digital image watermarking, compression, multimedia security, and data hiding.

Priyank KHARE (priyank@iiitranchi.ac.in) received his B.Tech. Degree in Electronics & Communication Engineering from Uttar Pradesh Technical University in 2009. M.Tech. in Digital Systems in 2014, and a Ph.D. degree in Electronics & Communication Engineering from the Motilal Nehru National Institute of Technology, Allahabad, India. He is currently employed as an assistant professor in the electronics and communication engineering department at the Indian Institute of Information Technology Ranchi, Ranchi, India. He has authored more than 25 research papers in reputed international journals and conferences. Apart from this, he is currently the reviewer of reputed SCI journals such as: Expert Systems with Applications, Multimedia Tools and Applications, computers & Electrical Engineering, Knowledge-Based Systems, Signal, Image and Video Processing, Alexandria Engineering Journal, Optics and Laser Technology, Signal Processing, Biomedical Signal Processing and Control, International Journal of Information Management Data Insights, Digital Signal Processing. He has chaired international conferences as session chair and also served as reviewer for many renowned conferences globally. He has guided more than 10 UG Dissertation. His research interests include digital image processing, digital image watermarking, multimedia security, and data hiding techniques.

Divyanshu AWASTHI (divyanshu.awasthi@gla.ac.in) received his B.Tech in ECE from the University of Allahabad, India in 2018, M.Tech in Signal Processing from Motilal Nehru National Institute of Technology Allahabad, India in 2021, PhD from Motilal Nehru National Institute of Technology Allahabad, India in 2024. Presently, he is working as an Assistant Professor in the Department of Electronics and Communication Engineering at GLA University Mathura, India. Till now, he has 22 journals, 7 conferences, and 6 chapters. He served as the session chair in International Conference on Communication Control and Intelligent Systems, publicity chair in International Conference on Electronics, Computer, Physical and Chemical Sciences, and member of Organizing Committee at International Conference on Microwave, Antenna and Communication. He served as the reviewer of many reputed journals like: Biomedical signal processing and control, Engineering applications of artificial intelligence, Digital signal processing, Scientific Reports, IEEE access, Transactions on emerging telecommunications technologies, The imaging science journal, Circuits, systems, and signal processing, Cluster Computing, Signal, Image and Video Processing etc. He also served as the reviewer of many conferences like: Computer vision and image processing, International Conference on Microwave, Antenna and Communication, International Conference on Intelligent Computing, Ningbo, China He is working on projects related to Digital Image Watermarking and information security. His areas of interest are Digital Image Processing, Signal Processing, Data hiding, Cryptography, and Deep learning.  Lalit GARG (lalit.garg@um.edu.mt) is an associate professor of computer information systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. Prof Garg has supervised more than 200 Master's dissertations, 2 DBA and 5 PhD theses and published 150+ high-impact publications in refereed journals/conferences/books, 17 edited books and 22 patents. He has delivered numerous keynote speeches, organized/chaired international conferences, and consulted countless public and private organizations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one-million-euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical Education via Innovative eTechnology (MediTec) and Malta Council of Science and Technology's Space Research Funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare). He also serves as the editorial board member of many reputed journals like: International Journal of System Assurance Engineering and Management, PeerJ Computer Science, BMC Medical Informatics and Decision Making, Computer Systems Science and Engineering, Frontiers in Medicine Regulatory Science, Frontiers in Computational Neuroscience etc. He chaired many conferences like: International Conference on Information Systems and Management Science, International Conference on Applications of AI in 5G and IoT, International Conference on Information Systems and Management Science etc.



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