This book is a collection of high-quality peer-reviewed research papers presented in the Third International Conference on Computing Informatics and Networks (ICCIN 2020) organized by the Department of Computer Science and Engineering (CSE), Bhagwan Parshuram Institute of Technology (BPIT), Delhi, India, during 29-30 July 2020. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of artificial intelligence, expert systems, software engineering, networking, machine learning, natural language processing and high-performance computing.

Autorentext

Prof. Ajith Abraham is Director of Machine Intelligence Research Labs (MIR Labs), which has members from more than 100 countries. Dr. Abraham's research and development experience includes more than 30 years in the industry and academia. He received the M.S. degree from Nanyang Technological University (NTU), Singapore, and the Ph.D. degree in Computer Science from Monash University, Melbourne, Australia. He works in a multi-disciplinary environment involving machine (network) intelligence, cyber security, sensor networks, web intelligence, scheduling, data mining and applied to various real-world problems. As an Investigator/Co-Investigator, he has won research grants worth over 100+ Million US$ from Australia, USA, EU, Italy, Czech Republic, France, Malaysia and China. In these areas, he has authored/co-authored more than 1,400+ research publications out of which there are 100+ books covering various aspects of Computer Science. He has 1,200+ co-authors originating from 40+ countries. Dr. Abraham has more than 38,000+ academic citations (h-index of 93 as per google scholar). He has given more than 100 plenary lectures and conference tutorials (in 20+ countries). He serves/has served the editorial board of over 50 international journals and has also guest edited 40 special issues on various topics.

Prof. Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation Soft Computing and Fractal Theory for Intelligent Manufacturing). He is a Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. In addition, he is serving as Research Director of Computer Science and head of the research group on Hybrid Fuzzy Intelligent Systems. Currently, he is President of HAFSA (Hispanic American Fuzzy Systems Association) and Past President of IFSA (International Fuzzy Systems Association). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). He also belongs to the Technical Committee on Fuzzy Systems of IEEE and to the Task Force on Extensions to Type-1 Fuzzy Systems. He is also a member of NAFIPS, IFSA and IEEE. He belongs to the Mexican Research System (SNI Level 3). His research interests are in Type-2 Fuzzy Logic, Fuzzy Control, Neuro-Fuzzy and Genetic-Fuzzy hybrid approaches. He has published over 300 journal papers, 10 authored books, 40 edited books, 200 papers in conference proceedings, and more than 300 chapters in edited books, in total 901 publications according to Scopus (H index=63, and more than 1050 publications according to Research Gate (H index=74 in Google Scholar). He has been Guest Editor of several successful Special Issues in the past, like in the following journals: Applied Soft Computing, Intelligent Systems, Information Sciences, Non-Linear Studies, Fuzzy Sets and Systems, JAMRIS and Engineering Letters. He is currently Associate Editor of the Information Sciences Journal, Applied Soft Computing Journal, Engineering Applications of Artificial Intelligence, Granular Computing Journal and the International Journal on Fuzzy Systems. Finally, he has been elected IFSA Fellow in 2015 and MICAI Fellow member in 2017. He has been recognized as Highly Cited Researcher in 2017 and 2018 by Clarivate Analytics because of having multiple highly cited papers in Web of Science..

Prof. Deepali Virmani is Head of the Department and Professor in the Department of Computer Science and Engineering at Bhagwan Parshuram Institute of Technology affiliated to GGSIPU, New Delhi. Dr. Deepali Virmani has received her B.Tech. degree in Computer Science from MDU, Rohtak, M.Tech. degree in Information Technology, from GGSIPU, and the Ph.D. degree in Computer Science from Delhi University,India. She has an innovative work experience of more than 19 years in both research and academics. She has published more than 90 research papers in International journals/National journals/International conferences of repute. She works in a multi-disciplinary environment involving sensor networks, web intelligence, data mining and intelligent information retrieval systems and machine learning applied to various real-world problems. Dr. Virmani has more than 500+ academic citations index as per google scholar .She has guided more than 70 B.Tech Projects. Presently, she is guiding many Ph.D. scholars registered with reputed universities like GGSIPU and UPTU. She is branch counselor of BPIT-IEEE student chapter and BPIT-CSI student branch. She is the associate editor of journal Open Computer Science De Grutyer and also on the reviewer board of various IEEE, Elsevier and springer journals. She has organized many pro...

Inhalt
Experimental Comparison & Scientometric Inspection of Research for Word Embeddings.- Review of Text Summarization in Indian Regional Languages.- A Systematic Literature Review of Automated Software Testing Tool.- Device Level Authentication Protocol for Wireless Body Area Networks.- Conceptualization Model for Cyber Secure National Time Dissemination System.- A Review on Human Behavior Using Machine Learning for Ambient Assisted Living.- Prediction of Kyphosis Disease Using Machine Learning.- CNN Performance Evaluation for Image Classification.- Calculating the Proof of Work using Volunteer Computing.- Performance Evaluation of Rectangular Microstrip Patch Antenna based on Defected Ground Structures.- Design of IoT based Smart Illumination System in Smart Cities.- Rank Correaltion For Attribute Selection of Cardiac Patient Data.- Breast Cancer Histopathology Image Classification using Soft Voting Classifier.- Auto Vectorisation capabilities of the compilers.