Advances in Data and Information Sciences

Proceedings of ICDIS 2023
1. Auflage 2024
ISBN: 978-981-99-6905-0
Verlag: Springer Nature Singapore

Buch, Englisch, 547 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1016 g

Reihe: Lecture Notes in Networks and Systems

This book gathers a collection of high-quality peer-reviewed research papers presented at the 5th International Conference on Data and Information Sciences (ICDIS 2023), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on June 16–17, 2023. The book covers all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it shows readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.

Zielgruppe

Research

Autoren/Hrsg.

Tiwari, Shailesh

Singh, Brajesh Kumar

Trivedi, Munesh C.

Kolhe, Mohan L.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Chapter 1: Emotion-Aware Music Recommendations: A Transfer Learning Approach using Facial Expressions.- Chapter 2: A novel image captioning approach using CNN & MLP.- Chapter 3: Route Optimizations Using Genetic Algorithms for Wireless Body Area Networks.- Chapter 4: Prediction Model for the Health Care Industry Using Machine Learning.- Chapter 5: An Efficient Framework for Crime Prediction using Feature Engineering and Machine Learning.- Chapter 6: Development of an Online collectable items marketplace using modern practices of SDLC and Web Technologies.- Chapter 7: Facial Emotion Recognition using Machine Learning Algorithms: Methods and Techniques.- Chapter 8: Similar intensity based Euclidean distance feature vector for mammogram image classification.- Chapter 9: Prediction of Lumpy Virus Skin Disease using Artificial Intelligence.- Chapter 10: Two-Factor Authentication Using QR Code and OTP. etc.

Über Autor(innen)

Prof. Shailesh Tiwari, Ph.D., currently works as a director and professor in Computer Science and Engineering Department, Krishna Engineering College, Ghaziabad, India. He is also taking care of the responsibility of additional director, KIET Group of Institutions, Ghaziabad, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in various engineering problems. He has published more than 100 publications in international journals and in proceedings of international conferences of repute. He has edited special issues of several Scopus, SCI and E-SCI-indexed journals. He has also edited several books published by Springer. He has published 6 Indian patents as IPRs. He has organized several international conferences under the banner of IEEE, ACM and Springer.

Dr. Munesh Chandra Trivedi having more than 18 years of teaching experience (out of which 12 years post Ph.D.) is currently working with National Institute of Technology, Agartala, Tripura, India, previously. He has successfully filed 60 patents (51 National and 09 International Patents) in Germany, South Africa and Australia. He has also published 12 text books and 148 research papers in different international journals and proceedings of repute. He has also edited 38 books of the Springer Nature. He has also received numerous awards including Young Scientist Visiting Fellowship, Albert Einstein Research Scientist Award, and Best Senior Faculty Award, Outstanding Scientist, Dronacharya Award, Author of Year and Vigyan Ratan Award from different national as well international forum. He has also organized more than 32 international conferences technically sponsored by IEEE, ACM and Springer.

Prof. Dr. Mohan Lal Kolhe is a full professor in smart grid and renewable energy at the Faculty of Engineering and Science of the University of Agder(Norway). He is a leading renewable energy technologist with three decades of academic experience at the international level and previously held academic positions at the world's prestigious universities, e.g., University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc. In addition, he was a member of the Government of South Australia’s first Renewable Energy Board (2009–2011) and worked on developing renewable energy policies. His research works in energy systems have been recognized within the top 2% of scientists globally by Stanford University’s 2020, 2021 matrices. He is an internationally recognized pioneer in his field, whose top 10 published works have an average of over 175 citations each.

Prof. Brajesh Kumar Singh is presently working as a professor and head in Department of Computer Science and Engineering, R.B.S. Engineering Technical Campus, Agra, India, with more than 20 years of teaching experience. He completed his doctorate degree in Computer Science and Engineering from Motilal Nehru National Institute of Technology, Allahabad (UP). His key areas of research are software engineering, software project management, data mining, soft computing and machine learning. He has supervised 02 Ph. D. candidates. Prof. Singh has delivered several invited talks/ key note addresses and chaired sessions in national and international conferences of high repute in India and abroad. He is having collaborative training programs/workshops with IIT Bombay.