Data-Centric Artificial Intelligence for Multidisciplinary Applications

Auteur

Dr. Parikshit N. Mahalle is a senior member IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 23 + years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, SPPU and various Universities and autonomous colleges across India. He has 9 patents, 200+ research publications (Google Scholar citations-2250 plus, H index-22 and Scopus Citations are 1190 plus with H index -16) and authored/edited 42+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global International Journal of Rough Sets and Data Analysis, Associate Editor for IGI Global - International Journal of Synthetic Emotions, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global International Journal of Ambient Computing and Intelligence. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is a recognized PhD guide of SSPU, Pune, and guiding 7 PhD students in the area of IoT and machine learning. Recently, FIVE students have successfully defended their PhD. He is also the recipient of Best Faculty Award by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level. He is also the recipient of the best faculty award by Cognizant Technology Solutions.

Dr. Gitanjali R. Shinde has overall 15 years of experience, presently working as Head & Associate Professor in Department of Computer Science & Engineering (AI &ML), Vishwakarma Institute of Information Technology, Pune, India. She has done Ph.D. in Wireless Communication from CMI, Aalborg University, Copenhagen, Denmark on Research Problem Statement Cluster Framework for Internet of People, Things and Services Ph. D awarded on 8th May 2018. She obtained M.E. (Computer Engineering) degree from the University of Pune, Pune in 2012 and B.E. (Computer Engineering) degree from the University of Pune, Pune in 2006. She has received research funding for the project Lightweight group authentication for IoT by SPPU, Pune. She has presented a research article in the World Wireless Research Forum (WWRF) meeting, Beijing China. She has received the best paper award at an international conference. She is also reviewer of various international journals Springer, IGI Global, IEEE Transaction and various conferences. She has published 50+ papers in National, International conferences and journals (Google Scholar citations-700 plus, H index-11). She is author of 10+ books with publishers Springer and CRC Taylor & Francis Group and she is also editor of books. Her book "Data Analytics for Pandemics A COVID 19 Case Study is awarded outstanding Book of the year 2020.

Dr. Namrata N Wasatkar has overall 10 years of experience, presently working as Assistant Professor in Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India. She has done Ph.D. in Computer Engineering from Savitribai Phule Pune University, Pune, India on Research Problem Statement Rule based Machine translation of simple Marathi sentences to English sentences Ph. D awarded on 17th November 2022. She obtained M.E. (Computer Engineering) degree from the University of Pune, Pune in 2014 and B.E. (Computer Engineering) degree from the University of Pune, Pune in 2012. She has received research funding for the project SPPU online chatbot by SPPU, Pune. She is also reviewer for various journals and conferences.She has published 15+ papers in National, International conferences and journals. Authored book titled Data Centric Artificial Intelligence: A Beginner's Guide.

Texte du rabat

This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach.

Contenu

I) Section I Recent developments in data-centric AI: 1. Advancements in Data-Centric AI Foundations, Ethics, and Emerging Technology 2. Emerging Development and Challenges in Data-Centric AI 3. Unleashing the Power of Industry 4.0: A Harmonious Blend of Data-Centric and Model- Centric AI 4. Data centric AI approaches for machine translation II) Section II Data Centric AI in Healthcare and Agriculture: 5. Case Study Medical Images Analysis and Classification with Data Centric Approach 6. Comparative Analysis of Machine Learning Classification Techniques for Kidney Disease Prediction 7. Fusion of Multi Modal Lumber Spine Scans Using Convolutional Neural Networks 8. Medical Image Analysis and Classification for Varicose Veins 9. Brain Tumor Detection using CNN 10. Explainable Artificial Intelligence in the Healthcare: An Era of Commercialization for AI Solutions 11. Role of Data centric artificial intelligence in agriculture 12. Detection and Classification of Mango Fruit based on Feature extraction applying optimized hybrid LA-FF algorithms III) Section III Building AI with quality Data for multidisciplinary domains: 13 Guiding Your Way: Solving Student Admission Woes 14. Melodic pattern recognition for ornamentation features in music computing 15. Content Analysis Framework for Skill Assessment 16. Machine learning techniques for effective text mining 17. Emails Classification and Anomaly Detection using Natural Language Processing