Intelligent Data Engineering and Analytics

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines.
This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines.

Presents research works in intelligent data engineering and analytics Provides results of FICTA 2021 held at NIT Mizoram, Aizwal, Mizoram, India Serves as a reference for researchers and practitioners in academia and industry

Autorentext

Suresh Chandra Satapathy is a Ph.D. in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also senior Member of IEEE. He has been instrumental in organizing more than 20 International Conferences in India as Organizing Chair and edited more than 30 book volumes from Springer LNCS, AISC, LNEE, and SIST Series as Corresponding Editor. He is quite active in research in the areas of swarm intelligence, machine learning, and data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of keynote address and tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals, and also Guest Editor for Arabian Journal of Science and Engg published by Springer.
Dr. Jinshan Tang is currently Professor in the College of Computing at Michigan Technological University. He received his Ph.D. degree from Beijing University of Posts and Telecommunications and postdoctoral training at Harvard Medical School and the National Institute of Health. Dr. Tang's research covers wide areas related to image processing and imaging technologies. His specific research interests include machine learning, biomedical image analysis and biomedical imaging, biometrics, computer vision, and image understanding. He has obtained more than three million US dollars grants as a PI or Co-PI. He has published more than 110 refereed journals and conference papers. He has also served as Committee Member at various international conferences. He is senior Member of IEEE and Co-Chair of the Technical Committee on Information Assurance and IntelligentMultimedia-Mobile Communications, IEEE SMC society. Dr. Tang serves/served as Editor or Guest Editor of more than 10 journals.
Peter Peer is Full Professor of computer science at the University of Ljubljana, Slovenia, where he heads the Computer Vision Laboratory, coordinates the double degree study program with the Kyungpook National University, South Korea, and serves as Vice-Dean for economic affairs. He received his doctoral degree in computer science from the University of Ljubljana in 2003. Within his post-doctorate, he was an invited researcher at CEIT, San Sebastian, Spain. His research interests focus on biometrics and computer vision. He participated in several national and EU funded R&D projects and published more than 100 research papers in leading international peer-reviewed journals and conferences. He is Co-organizer of the Unconstrained Ear Recognition Challenge and Sclera Segmentation Benchmarking Competition. He serves as Associated Editor ofIEEE Access and IET Biometrics. He is Member of the EAB, IAPR, and IEEE.
Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis, and recognition. He has around 160 quality publications in various international journals and conference proceedings. He is Associate Editor of IJSE and IJACI. He has edited more than 30 volumes of conference proceedings with Springer Nature and is presently EiC of IGI Global: IJNCR journal.
Dr. Anumoy Ghosh is currently serving as Head and Assistant Professor, Department of Electronics and Communication Engineering, National Institute of Technology Mizoram. He did his Ph.D. from IIEST Shibpur, India. His research was in the area of antennas, electromagnetic periodic structures, RF energy scavenging, and microwave passive circuits.He has published 11 journal and international conference papers in various journals with SCI impact factors, SCOPUS index, and also in Conf proceedings of Springer, IEEE, etc. Under his supervision, presently four research scholars are doing research work.

Inhalt
Automated Flower Species Identification by using Deep convolution neural network.- Information Retrieval for Cloud Forensics.- Machine Translation System Combination with Enhanced Alignments using Word Embeddings.- Geometry Based Machining Feature Retrieval with Inductive Transfer Learning.- Grapheme to phoneme conversion for Malayalam Speech Using encoder-decoder Architecture.- Usage of Block Chain Technology in e-Voting System using Private Block Chain.- Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning.- Deep Learning based Mosquito Species detection using Wingbeats frequencies.- Developments in Capsule Network Architecture: A Review.- Computer aided segmentation of polyps using Mask R-CNN and approach to reduce false positives.- Image GPT with Super Resolution.