Proceedings of the Fourth International Conference on Smart Computing and Informatics, Volume 2 Herausgegeben:Satapathy, Suresh Chandra; Bhateja, Vikrant; Favorskaya, Margarita N.; Adilakshmi, T.
Proceedings of the Fourth International Conference on Smart Computing and Informatics, Volume 2 Herausgegeben:Satapathy, Suresh Chandra; Bhateja, Vikrant; Favorskaya, Margarita N.; Adilakshmi, T.
This book presents best selected papers presented at the 4th International Conference on Smart Computing and Informatics (SCI 2020), held at the Department of Computer Science and Engineering, Vasavi College of Engineering (Autonomous), Hyderabad, Telangana, India. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front which focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment…mehr
This book presents best selected papers presented at the 4th International Conference on Smart Computing and Informatics (SCI 2020), held at the Department of Computer Science and Engineering, Vasavi College of Engineering (Autonomous), Hyderabad, Telangana, India. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front which focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and health care.
Suresh Chandra Satapathy is currently working as Professor, KIIT Deemed to be University, Odisha, India. He obtained his Ph.D. in Computer Science Engineering from JNTUH, Hyderabad, and master's degree in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, Odisha. He has more than 27 years of teaching and research experience. His research interest includes machine learning, data mining, swarm intelligence studies and their applications to engineering. He has more than 98 publications to his credit in various reputed international journals and conference proceedings. He has edited many volumes from Springer AISC, LNEE, SIST and LNCS in the past, and he is also the editorial board member in few international journals. He is a senior member of IEEE and a life member of Computer Society of India. Currently, he is National Chairman of Division-V (Education and Research) of Computer Society of India. 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. Margarita N. Favorskaya is Professor and Head of the Department of Informatics and Computer Techniques at Reshetnev Siberian State University of Science and Technology, Russian Federation. Professor Favorskaya is a member of KES organization since 2010, the IPC member and Chair of invited sessions of over 30 international conferences. She serves as Reviewer in international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence), Associate Editor of Intelligent Decision Technologies Journal, International Journal of Knowledge-Based and Intelligent Engineering Systems and International Journal of Reasoning-based Intelligent Systems, Honorary Editor of the International Journal of Knowledge Engineering and Soft Data Paradigms, Reviewer, Guest Editor and Book Editor (Springer). She is the author or the co-author of 200 publications and 20 educational manuals in computer science. She co-authored/co-edited seven books for Springer recently. She supervised nine Ph.D. candidates and is presently supervising four Ph.D. students. Her main research interests are digital image and videos processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence and information technologies. Dr. T. Adilakshmi is currently working as Professor and Head of the Department, Vasavi College of Engineering. She completed her Bachelor of Engineering from Vasavi College of Engineering, Osmania University, in the year 1986, and did her Master of Technology in CSE from Manipal Institute of Technology, Mangalore, in 1993. She received Ph.D. from Hyderabad Central University (HCU) in 2006 in the area of Artificial Intelligence. Her research interests include data mining, image processing, artificial intelligence, machine learning, computer networks and cloud computing. She has 23 journal publications to her credit and presented 28 papers at international and national conferences. She has been recognized as a research supervisor by Osmania University (OU) and Jawaharlal Nehru Technological University (JNTU). Two research scholars were awarded Ph.D. under her supervision, and she is currently supervising 11 Ph.D. students.
Inhaltsangabe
Chapter 1. An Intelligent Tracking Application for Post Pandemic.- Chapter 2. Investigation on the influence of English Expertise on non-native English-speaking StudentsâEUR(TM) Scholastic Performance using Data Mining.- Chapter 3. Machine Learning Algorithms for Modelling Agroclimatic indices: A Review.- Chapter 4. Metal Insulator Metal based Stepped Impedance Square Ring Resonator Dual-Band Band Pass Filter.- Chapter 5. Covid-19 Spread Analysis.- Chapter 6. Social Media Anatomy of Text and Emoji in Expressions.- Chapter 7. Development of Machine Learning Model Using Least Square-Support Vector Machine, Differential Evolution and Back Propagation Neural Network to Detect Breast Cancer.- Chapter 8. Distributed and Decentralized Attribute based Access Control for Smart Health Care Data.- Chapter 9. Dynamic Node Identification Management in Hadoop Cluster using DNA.- Chapter 10. A Scientometric Inspection of Research Based on WordNet Lexical During 1995-2019.- Chapter 11. Sentiment Analysis of an Online Sentiment with text and slang using Lexicon approach.- Chapter 12. Fuzzy Logic Technique for Evaluation of Performance of Load Balancing Algorithms in MCC.- Chapter 13. Impact of Bio-Inspired Algorithms to Predict Heart Diseases.- Chapter 14. Structured Data Extraction using Machine Learning from Image of Unstructured Bills/Invoices.- Chapter 15. Parallel Enhanced Chaotic Model Based Integrity to Improve Security and Privacy on HDFS.
Chapter 1. An Intelligent Tracking Application for Post Pandemic.- Chapter 2. Investigation on the influence of English Expertise on non-native English-speaking StudentsâEUR(TM) Scholastic Performance using Data Mining.- Chapter 3. Machine Learning Algorithms for Modelling Agroclimatic indices: A Review.- Chapter 4. Metal Insulator Metal based Stepped Impedance Square Ring Resonator Dual-Band Band Pass Filter.- Chapter 5. Covid-19 Spread Analysis.- Chapter 6. Social Media Anatomy of Text and Emoji in Expressions.- Chapter 7. Development of Machine Learning Model Using Least Square-Support Vector Machine, Differential Evolution and Back Propagation Neural Network to Detect Breast Cancer.- Chapter 8. Distributed and Decentralized Attribute based Access Control for Smart Health Care Data.- Chapter 9. Dynamic Node Identification Management in Hadoop Cluster using DNA.- Chapter 10. A Scientometric Inspection of Research Based on WordNet Lexical During 1995-2019.- Chapter 11. Sentiment Analysis of an Online Sentiment with text and slang using Lexicon approach.- Chapter 12. Fuzzy Logic Technique for Evaluation of Performance of Load Balancing Algorithms in MCC.- Chapter 13. Impact of Bio-Inspired Algorithms to Predict Heart Diseases.- Chapter 14. Structured Data Extraction using Machine Learning from Image of Unstructured Bills/Invoices.- Chapter 15. Parallel Enhanced Chaotic Model Based Integrity to Improve Security and Privacy on HDFS.
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