Data Engineering and Intelligent Computing

This book features a collection of high-quality, peer-reviewed papers presented at the Fourth International Conference on Intelligent Computing and Communication (ICICC 2020) organized by the Department of Computer Science and Engineering and the Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on 1820 September 2020. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.

Presents recent innovative research in the field of communication, network, and IoT Discusses results of ICICC 2020 organized in Bengaluru, India, during September 2020 Serves as a reference for young scholars, researchers, and industry professionals

Autorentext

Vikrant Bhateja is Associate Professor, Department of Electronics & Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, and also Head (Academics & Quality Control) in the same college. He completed his doctorate in Bio-Medical Imaging & Signal Processing and has a total academic teaching experience of 16 years with around 125 publications in reputed international conferences, journals and online book chapter contributions. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. Dr. Vikrant has edited 15 proceeding books/editorial volumes with Springer Nature. He is Editor-in-Chief of IGI Global-International Journal of Natural Computing and Research (IJNCR). He is also Associate Editor in International Journal of Synthetic Emotions (IJSE) and International Journal of Ambient Computing and Intelligence (IJACI) under IGI Global press. He is Guest Editor of Special Issues in reputed Scopus/SCIE indexed journals under Springer Nature: "Evolutionary Intelligence" and "Arabian Journal of Science and Engineering".

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 conference proceedings. Dr. Suresh is in Editorial Board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engineering published by Springer.

Carlos M. Travieso-González received the M.Sc. degree in 1997 in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain, and Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is Full Professor on Signal Processing and Pattern Recognition and Head of Signals and Communications Department at ULPGC,; teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 50 International and Spanish Research Projects, some of them as Head Researcher. He has 440 papers published in international journals and conferences. He has published 7 patents in Spanish Patent and Trademark Office. He is Evaluator of project proposals for European Union (H2020), Medical Research Council (MRC - UK), Spanish Government (ANECA - Spain), Research National Agency (ANR - France), DAAD (Germany), and other Institutions. He has been General Chair in 16 international conferences, mainly sponsored by IEEE and ACM. He is Associate Editor in CIN and Entropy (Q2-WoS journals). He has been awarded in "Catedra Telefonica" Awards in editions 2017, 2018 and 2019 on Knowledge Transfer Modality.

V. N. Manjunath Aradhya is currently working as Associate Professor in the Department of MCA, Sri Jayachamarajendra College of Engineering, Mysuru. He received the M.S. and Ph.D. degrees in Computer Science from the University of Mysore, Mysuru, India, in 2004 and 2007, respectively. He is a recipient of "Young Indian Research Scientist" from Italian Ministry of Education, University and Research, Italy, during 2009-2010. His professional recognition includes as Technical Editor for Journal of Convergence Information Technology (JCIT), Editor Board in Journal of Intelligent Systems, a reviewer for IEEE Trans on System, Man and Cybernetics - PART B, Pattern Recognition (PR), Pattern Recognition Letters (PRL), etc. Also he is Member of program committees of over 45 international conferences. His research interest includes pattern recognition, image processing, document image analysis, computer vision, machine intelligence, applications of linear algebra for the solution of engineering problems, biclustering of geneexpression data and web data analysis and understanding. He has published more than 135 research papers in reputed international journals, conference proceedings and edited books.

Inhalt
Chapter 1.Heuristic approach to Detect Pectoral Muscle & Nipple in Mammogram for Computer Aided Diagnosis.- Chapter 2. Design of LSTM-CNN with Feature Map Merge for Crime Scene Detection in CCTV Footage.- Chapter 3. Malware family classification model using convolutional neural network.- Chapter 4. Malware and benign detection using convolutional neural network.- Chapter 5. An Evaluation and Validation of Contemporary Approaches in Scene Text Extraction and Recognition.- Chapter 6. Sentiment analysis for movie ratings using deep learning.- Chapter 7. Subject Noncontingent EEG based Emotion Detection using Deep Learning Algorithm.- Chapter 8. Performance Analysis of Dijkstra's and the A-Star Algorithm on an Obstacle Map.- Chapter 9. Automated Microaneurysms Detection in Fundus Images for early diagnosis of Diabetic Retinopathy.- Chapter 10. Plant health report through advanced convolution neural network methodology.