Proceedings of Research and Applications in Artificial Intelligence

Indrajit Pan received his B.E. in Computer Science and Engineering with Honors from The University of Burdwan (2005) and M.Tech. in Information Technology from Bengal Engineering and Science University, Shibpur (2009).  He was the recipient of University Medal in his Masters. He obtained Ph.D. in Engineering from Indian Institute of Engineering Science and Technology, Shibpur, in 2015. His current research interest includes community detection, cloud computing, influence theory, and digital microfluidic biochip. He joined RCC Institute of Information Technology in 2006 and is now Associate Professor and Head of the Information Technology Department. He has research publications in different international journals, edited books, and conference proceedings. He has also co-authored some edited research volumes and international conference proceedings. He served as the guest editor in International Journal of Hybrid Intelligence, Inderscience, and is currently an editorial board member of Elsevier’s Applied Soft Computing Journal. He is now a senior member of IEEE, USA, and a member of ACM, USA. Dr. Anirban Mukherjee did his Bachelors in Civil Engineering in 1994 from Jadavpur University, Kolkata. While in service, he achieved a professional Diploma in Operations Management (PGDOM) in 1998 and completed his Ph.D. on ‘Automatic Diagram Drawing based on Natural Language Text Understanding’ from Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, in 2014. Serving RCC Institute of Information Technology (RCCIIT), Kolkata, since inception (in 1999), he is currently Professor in the Department of Information Technology. Before joining RCCIIT, he served as Engineer in the Scientific & Technical Application Group in erstwhile RCC, Calcutta, for 6 years. He has several international journal and conference papers to his credit. He is the co-editor of one IGI Global Book and also the co-editor of two books of CRC Press and Willey. He has reviewed several journal papers and book chapters and acted as the guest editor of Journal of Pattern Recognition Research and International Journal of Computers and Applications. Vincenzo Piuri has received his Ph.D. in Computer Engineering at Politecnico di Milano, Italy (1989). He is Full Professor in Computer Engineering at the Università degli Studi di Milano, Italy (since 2000). He has been Associate Professor at Politecnico di Milano, Italy, and Visiting Professor at the University of Texas at Austin and at George Mason University, USA. His main research interests are artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, and cloud computing infrastructures. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters. He is Fellow of the IEEE, Distinguished Scientist of ACM and a senior member of INNS. He is President of the IEEE Systems Council (2020–2021) and has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society.

• Chapter 1. Prediction and Analysis on COVID-19 Using Positive and Negative Association Rule Mining.- Chapter 2. Hybrid Algorithm Based on DWT-DCT-RSA with Digital Watermarking for Secure Image Transfer.- Chapter 3. Detecting Sexually Predatory Behavior on Open-Access Online Forums.- Chapter 4. Swarm based Sudoku Solution: An Optimization Procedure.- Chapter 5. Application of Cellular Automata (CA) for Predicting Urban Growth and Loss of Vegetation and Waterbodies in Eastern India.- Chapter 6. Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature.- Chapter 7. Sentiment Analysis of Covid-19 Tweets using Evolutionary Classification based LSTM Model.- Chapter 8. Clustering as a Brain-Network Detection Tool for Mental Imagery Identification.- Chapter 9. Comparative study of the effect of different fitness function in PSO algorithm on band selection of hyper spectral imagery.- Chapter 10. Breast Abnormality Detection Using Texture Feature Extracted by difference-based-variable-size Local Filter(DVLF).- Chapter 11. Nuclei image boundary detection based on interval type-2 fuzzy set and bat algorithm.- Chapter 12. Machine Learning Approach to Sentiment Analysis from Movie Reviews using Word2Vec.- Chapter 13. Selection of Edge Detection Techniques Based on Machine Learning Approach.- Chapter 14. ANN Based Self-Tuned PID Controller for Temperature Control of Heat Exchanger.- Chapter 15. A Novel Partitioning Algorithm to Process Large-Scale Data.