Book ( Private Access)

Multimodal Artificial Intelligence for Intelligent Quality Assessment
Multimodal Artificial Intelligence for Intelligent Quality Assessment Techniques, Applications, Explainability, Edge AI and Future Directions

Author(s): Dr. Narendra Kumar Dewangan
Language: English
Subject Area: Computer Sciences
Publisher: A and V Publications
Pages: 106
ISBN: 978-81-997864-1-7
Published On: 10-Aug-2026
Online Since: 12-Aug-2026
Price: INR 100 or USD10

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About this book

Computer Sciences



Table of Contents (8 Chapters)

Author(s): Narendra Kumar Dewangan

DOI: 10.52711/book.anv.9788199786417-01

Pages:1-9    |    Views: (pdf),   (html)

Author(s): Manisha Dewangan

DOI: 10.52711/book.anv.9788199786417-02

Pages:10-15    |    Views: (pdf),   (html)

Author(s): Kranti Kumar Dewangan

DOI: 10.52711/book.anv.9788199786417-03

Pages:16-22    |    Views: (pdf),   (html)

Author(s): Divya Bharati, Sunil Kumar Pandey

DOI: 10.52711/book.anv.9788199786417-04

Pages:23-31    |    Views: (pdf),   (html)

Author(s): Narendra Kumar Dewangan

DOI: 10.52711/book.anv.9788199786417-05

Pages:32-45    |    Views: (pdf),   (html)

Author(s): Yogesh Kumar Rathore

DOI: 10.52711/book.anv.9788199786417-06

Pages:46-56    |    Views: (pdf),   (html)

Author(s): Goldy Soni

DOI: 10.52711/book.anv.9788199786417-07

Pages:57-82    |    Views: (pdf),   (html)


Keywords


Author(s) and Affiliations

Dr. Narendra Kumar Dewangan

Asst. Professor, Department of Artificial Intelligence Shri Shankaracharya Institute of Professional Management and Technology, Raipur, C.G. India

About: Prof. Narendra Kumar Dewangan is an educator, researcher, and technology enthusiast associated with the field of Computer Science and Engineering, with a special interest in Artificial Intelligence, Machine Learning, Data Science, and Computer Vision. He is actively involved in teaching, academic research, and the development of technology-based solutions for real-world applications. His research interests include Deep Learning, Image Processing, Artificial Intelligence, and smart agricultural applications, particularly rice quality assessment using AI-based techniques. Through his academic and research work, he aims to promote innovative and practical applications of emerging technologies for education, agriculture, and society. He is passionate about knowledge sharing, research, and encouraging students to explore emerging technologies and develop meaningful technological solutions.