Artificial Intelligence and Machine Learning Applications to Computational Sanskrit, Natural Language Processing and Cognition

Contents: 1. Analysis and Survey on Grammar Checking and Correction Approaches for Punjabi and Other Languages2. Early Heart Disorder Prediction System using Artificial Neural Network and K- Fold Cross Validation Model3. Offline Mobile Finder Application4. Cognitive Horses of Deep Learning: Regularization and Optimization Practices5. Transliteration of Sanskrit Scripts using Natural Language Processing and Meta-Heuristic Algorithms6. A Data-Driven Research on Optimizing Supply Chain Logistics for Manufacturing Companies: A Predictive Modeling Approach7. Impact of Meteorological Conditions on Air Quality Prediction using Deep Learning8. ADA_ViT: Adaptive Drawer Algorithm for Vision Transformers to Detect the Severity of Diabetic Retinopathy9. A Hybrid Deep Learning Model: Integration of CNN and BiLSTM for Malayalam Question Answering from Facebook bAbl Dataset Task 110. Evaluating Trade-offs between Model Precision and Traning Performance with Precision Variation11. The NLP Quest: Unveiling Hidden Topics in 'Autobiography of a Yogi' using BER Topic12. Revolutionizing Netflix Recommendations: The Power of Transfer Learning About the Editors: Dr. Chivukula Sree Rama Prabhu has held prestigious positions with Government of lndia and various Institutions. He retired as the Director General of National lnformatics centre (NIC) Ministry of Electronics and lnformation Technology Government of lndia, New Delhi, and has worked in various capacities at Tata Consultancy Services (TCS), CMC, TES and TELCO (now Tata Motors). He was also an international resource faculty for the Programs of APO (Asian Productivity Organization), and represented lndia on the lnternational Panel at Venture 2004 held by APO at Osaka, Japan. He taught and researched at the University of central Florida, Orlando and also had a brief stint as a Consultant to NASA CaPe Canaveral.He was unanimously elected and served as the Chairman of Computer Society of lndia (CSI), Hyderabad chapter. He is presently working as Director, Research and lnnovation at Keshav Memorial lnstitute of Technology (KMIT), Hyderabad.He obtained his master's degree in Electrical Engineering with specialization in computer science from the lndian lnstitute of Technology, Bombay after a bachelor's degree in Electronics and communication Engineering from Jawaharlal Nehru Technological university, Hyderabad in 1976. He has guided a large number of student research projects at master's level and has published several papers.He has authored text books in IT, C.S.E. areas as:1.    Semantic Databases Systems: A Functional lntroduction (Universities Press, 1992)2.    Object Oriented Database Systems: Approaches and Architectures (Prentice Hall India, 1998) (3rd Edition, 2010)3.    Proceedings of the 9th International Conference on (COMAD), 1998(Ed). Tata McGraw Hill' 19984.    Data warehousing Concepts, Methodologies, Products and Applications' (Prentice Hall India, 2000) (3rd Edition, 2009)5.    Mobile Computing (Universities Press, 2000)6.    Bluetooth Technology and its applications with Java & J2ME (Prentice Hall lndia, 2005)7.    E-Governance - Concepts and Case Studies (Prentice Hall India, 2005) (2nd Edition, 2009)8.    Grid and Cluster Computing (Prentice Hall India, 2008)9.    Knowledge Management (Gyan publishing House, 2014)10. Fog computing and Internet of Things, B.S. publishers, 2017.11. Fog computing, Deep Learning and Big Data Analytics-Research Directions, Springer 2019.12. Big Data Analytics - Systems, Algorithms and Applications, Published by Springer 2019. Dr. Aneesh Sreevallabh Chivukula, is working as Assistant professor, Computer Science & Information Systems, BITS Pilani Hyderabad campus. Ph.D. (Data Analytics and Machine Learning) from University of Technology Sydney (UTS), Australia. MS by Research. (Computer Science and Engineering) IIIT, Hyderabad, lndia and B.Tech. (Electronics and Communication Engineering) JNTU, Hyderabad, India. He has wide ranging experience in R&D, Academia and Industry. His research interests Computational Algorithms, Machine Learning, Deep Learning, Generative Learning Adversarial Learning.He has published large number of research papers globally, and has co-authored global textbooks on Big Data Analytics, Adversarial Machine Learning and Adversarial Learning.