Computational Intelligence and Machine Learning

This book focuses on both theory and applications in the broad areas of computational intelligence and machine learning. The proceedings of the Seventh International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019) present research papers in the areas of advanced computing, networking, and informatics. It brings together contributions from scientists, professors, scholars, and students and presents essential information on the topic. It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the "translation" of basic research into applied research and of applied research into practice. The works presented here also demonstrate the importance of basic scientific research in a range of fields.

Autorentext
Jyotsna Kumar Mandal, M.Tech. in Computer Science from the University of Calcutta in 1987, awarded Ph.D. (Engineering) in Computer Science and Engineering by Jadavpur University in 2000. Presently, he is working as Professor of Computer Science & Engineering, and former Dean, Faculty of Engineering, Technology & Management, KU, for two consecutive terms during 20082012. He is Director, IQAC, Kalyani University, and Chairman, CIRM, and Placement Cell. He served as Professor of Computer Applications, Kalyani Government Engineering College, for two years, as Associate Professor of Computer Science for eight years at North Bengal University, as Assistant Professor of Computer Science North Bengal University for seven years, and as Lecturer at NERIST, Itanagar, for one year. He has 32 years of teaching and research experience in coding theory, data and network security and authentication; remote sensing & GIS-based applications, data compression, error correction, visual cryptography, and steganography. He was awarded 23 Ph.D. degrees, one submitted and 8 are pursuing. He has supervised 03 M.Phil., more than 70 M.Tech., and more than 125 M.C.A dissertations. He is Guest Editor of MST Journal (SCI indexed) of Springer. He published more than 400 research articles out of which 170 articles in international journals. He published 7 books from LAP Germany, IGI Global, etc. He has organized 31 international conferences and Corresponding Editors of edited volumes and conference publications of Springer, IEEE, Elsevier, etc., and edited 32 volumes as Volume Editor.
Imon Mukherjee received his Ph.D. from Jadavpur University, Kolkata, India, in 2015, respectively. Currently, he is working as Faculty in-Charge, Academics, and an Assistant Professor (Grade-I) in Computer Science & Engineering, Indian Institute of Information Technology Kalyani, India (an Institute of National Importance under MHRD, Government of India). Earlier, he was an Assistant Professor in the Department of Computer Science and Engineering of the Institute of Technology & Marine Engineering, now The Neotia University, West Bengal, India, from August 2006 to December 2011. Then from January 2012, he was associated with the Department of Computer Science and Engineering, St. Thomas' College of Engineering & Technology, Kolkata, India, with the same designation. His research focuses on information security and data analytics. He is associated as Reviewer, PC member, and Track Session Chair of many reputed conferences and journals like IEEE Transactions on Circuits and Systems for Video Technology. He is currently supervising 5 Ph.D. students at IIIT Kalyani. He has acted as PI and Co-PI of many projects funded by DST, Government of West Bengal, etc.
Sambit Bakshi is currently with Centre for Computer Vision and Pattern Recognition of National Institute of Technology Rourkela, India. He also serves as an Assistant Professor in the Department of Computer Science & Engineering of the institute. He earned his Ph.D. degree in Computer Science & Engineering. His area of interest includes surveillance and biometric authentication. He is a senior member of IEEE since 2019. He currently serves as Associate Editor of International Journal of Biometrics (2013), IEEE Access (2016), Innovations in Systems and Software Engineering: A NASA Journal (2016), Expert Systems (2017), and Plos One (2017). He has served/is serving as Guest Editor for reputed journals like Multimedia Tools and Applications, IEEE Access, Innovations in Systems and Software Engineering: A NASA Journal, Computers and Electrical Engineering, IET Biometrics, and ACM/Springer MONET. He is serving as the Vice-Chair for IEEE Computational Intelligence Society Technical Committee for Intelligent Systems Applications for the year 2019. He received the prestigious Innovative Student Projects Award 2011 from Indian National Academy of Engineering (INAE) for his master's thesis. He has more than 50 publications in reputed journals, reports, and conferences.
Sanjay Chatterji has received Ph.D. from IIT Kharagpur on Indian Language Machine Translation domain specifically on statistical and transfer-based approaches to build Bengali-Hindi machine translation systems based on the resources that are available. He has built morphological analyzer, POS tagger, parser, etc., for Bengali language. In Samsung R&D Institute India Bangalore (SRIB), he has worked in the domain of semantic analysis, specifically on aspect-based sentiment analysis, inter concept higher order predicate relation extraction, representation and application in search domain, DNN-based classification of intents, etc. Overall, he has experience and expertise in application of machine learning algorithms for NLP tasks. He has wor...

Inhalt

Minutiae Points Extraction using Faster R-CNN.- Genetic Algorithm based Optimization of Clustering Data Points by Propagating Probabilities.- Detection of Malaria Parasites in Thin Blood Smears using CNN Based Approach.- A Deep Learning Approach for Predicting Air Pollution in Smart Cities.- Structural Design of Convolutional Neural Network based Steganalysis.- Sarcasm Detection of Media Text using Deep Neural Networks.- Sentiment Analysis Using Twitter.- A Type-Specific Attention Model for Fine Grained Entity Type Classification.- A Two Phase Approach using LDA for Effective Domain Specific Tweets Conveying Sentiments.- News Background Linking using Document Similarity Techniques.