This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2020), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 2829, 2020. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, humanmachine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics and blockchain technology.

Presents selected works by active researchers in the field of intelligent computing and networking Gathers the outcomes of the IC-ICN 2020, organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, India Serves as a reference guide for researchers and practitioners in academia and industry

Autorentext

Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 300 research papers in refereed journals and international conferences. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling and simulation. She is the Editor-in-Chief to the International Journal of Advanced Intelligence Paradigms (IJAIP) and to the International Journal of Computational Systems Engineering (IJCSysE), is a member in Editorial Board of several national and international journals and is the Director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad. She is a member of EUSFLAT and SIAM, senior member of IEEE, member in TC - Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS) and member in TC - Soft Computing (IEEE SMCS).
Vijay Bhaskar Semwal is working as an Associate Professor (CSE) at NIT Bhopal since 5 February 2019. Before joining NIT Bhopal, he was working at NIT Rourkela. He has also worked with IIIT Dharwad as an Assistant Professor (CSE) for 2 years (2016-2018), and he has also worked as an Assistant professor (CSE) at NIT Jamshedpur. He has earned his doctorate degree in robotics from IIIT Allahabad (2017), M.Tech. in Information Technology from IIIT Allahabad (2010) and B.Tech. (IT) from the College of Engineering Roorkee (2008). His areas of research are bipedal robotics, gait analysis and synthesis, artificial intelligence, machine learning and theoretical computer science. He has published more than 15 SCI research papers. He has received early career research award by DST-SERB under the government of India.
Dr. Anand Khandare is workingas an Associate Professor in Thakur College of Engineering and Technology, Mumbai University. His total experience is 15 years in teaching. He has completed Ph.D. in Computer Science and Engineering in the domain Data Clustering in Machine Learning from Sant Gadge Baba Amravati University, 2019, Master of Engineering (M.E.) in Computer Engineering from Vidyalankar Institute of Technologies, Mumbai University, 2011, and Bachelor of Engineering (B.E.) in Computer Science and Engineering from Amravati University with 64.5 percentages, 2005. He has published a total of 50 papers in national and international conferences and journals. Two patents are also in his name. He has worked in various committees in conferences and workshops. He taught various subjects such as C, C++, JAVA, R PYTHON, Machine Learning, Mobile Computing, OS, Data Structures and Software Engineering. He has knowledge of RDATABASE such as SQL Server, MYSQL, and Oracle. He worked on various OS PLATFORMS such as Windows, LINUX and Androids. He guided 30+ undergraduate projects and 3 postgraduate projects. His area of interest is machine learning and networking. His interests also include web application development and mobile application development. He is a lifetime member of ISTE professional body.
Dr. Megharani Patil has graduated from Konkan Gyanpeeth College of Engineering, Mumbai University, in Computer Engineering, in 2003. She completed her Master's Degree from Shivaji University in the academic year 2010-2011. She completed Ph.D. (Technology) from Thadomal Shahani Engineering College, Mumbai University. Currently, she is working as an Associate Professor at Thakur College of Engineering and Technology, Mumbai University. She has 13.5 years of teaching experience in the institute and total 15.5 years of teaching experience. She has published more than 44 papers in international journals and conferences, 2 books C++ and Java programming and 1 patent in Indianpatent journal. In institute, she is Domain Incharge for Intelligent System Design & Development. She guided 30+ undergraduate projects and 4 postgraduate projects. Her area of interest is software engineering, user experience design and artificial intelligence. Her interests also include web application development and mobile application development. She is a lifetime member of ISTE professional body.

Inhalt
Exploiting Processor Variability for Efficient Application Mapping.- Genetic Algorithm for feature selection and parameter optimization to enhance learning on healthcare data.- Fraud Prevention on Crowdfunding Platforms.- Review of Wireless Sensor Network Security Schemes.- Review: Development of Agriculture field using Machine Learning.- Security Issues in Cloud Computing.- Categorization of Plant Leaf using CNN.- KRISHAK SAHAYATA : PREDICTION OF BEST CROP YIELD.- A Fuzzy Expert System for Malaria Disease Detection.- Signature Based Data Sharing Over the Cloud.- Design and Development of Energy Audit System.