Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication

A deep drive into knowledge management for improv-ing software process and product: Visions and Research Directions.- An Area and Delay Efficient Approximate Hybrid Adder for VLSI Circuit Designs.- Health Care System with IoT Wireless Sensor Network.- Comparative Analysis of Face Mask Detection Model.- Analytical Approach towards Face Mask Detection using Artificial Intelligence Techniques.- Kubernetes and Docker the Star Duo of Container Culture.- A Robust Gender Identification System for Speaker Recognition using Linear Discriminant Analysis Stepwise Dimension Reduction.- Parallel Agglomerative Hierarchical Clustering algorithm implementation with Hadoop Map-reduce.- Authentication and key update in Satellite communication.- Intelligent Approaches for Disease Diagnosis, Prevention and Treatment.- Review of Sentiment Analysis on Covid19 and Lockdown Twitter Data: Novel Techniques.- Supervised Machine Learning approach for Crack Detection in Digital Images.- The use of LSTM Models forWater Demand forecasting and analysis.- A Genetic Algorithm Framework to Solve Two-Dimensional Maze Problem.- A Bibliometric Analysis of Anomaly Detection for IoT Enabled Smart Cities.- A Comprehensive Performance Evaluation of Novel Big Data Log Analytic Framework.- Polarities Inconsistency of MOOC Courses Reviews Based on Users and Sentiment Analysis Methods.- Forest Fire Detection and Prevention System using IoT.- Sustainable IT And Energy Management For Metropolis Substructure Expansion.- Data classification using various machine learning algorithms.- A survey of the workload forecasting methods in cloud computing.- Web Usage Mining Cluster Simulation Using K-Means and Fuzzy Approach.- Reduction of IoT security vulnerabilities using Machine learning algorithm.- A Novel Voltage Level-Up shifter Design for Power Efficient Methods Using Dual Current Mirror Technique.- Efficient Cloud Orchestration Services in Computing.- Efficient Data Aggregation in Wireless Sensor Network Cluster

Dr. Anuradha Tomar has 12 years plus experience in research and academics. She is currently working as Assistant Professor in Instrumentation & Control Engineering Division of Netaji Subhas University, Delhi, India. Dr. Tomar has completed her Postdoctoral research in Electrical Energy Systems Group, from Eindhoven University of Technology (TU/e), the Netherlands and has successfully completed European Commission's Horizon 2020, UNITED GRID and UNICORN TKI Urban Research projects. She has received her B.E Degree in Electronics Instrumentation & Control with Honours in the year 2007 from University of Rajasthan, India. In the year 2009, she has completed her M.Tech Degree with Honours in Power System from National Institute of Technology Hamirpur. She has received her Ph. D in Electrical Engineering, from Indian Institute of Technology Delhi (IITD). Dr. Anuradha Tomar has committed her research work efforts towards the development of sustainable, energy efficient solutions forthe empowerment of society, humankind. Her areas of research interest are Operation & Control of Microgrids, Photovoltaic Systems, Renewable Energy based Rural Electrification, Congestion Management in LV Distribution Systems, Artificial Intelligent & Machine Learning Applications in Power System, Energy conservation and Automation. She has authored or co-authored 69 research/review papers in various reputed International, National Journals, and Conferences. She is an Editor for books with International Publication like Springer, Elsevier. She has also filled seven Indian patents on her name. Dr. Tomar is Senior member of IEEE, Life member of ISTE, IETE, IEI, and IAENG.

Dr. Hasmat Malik received Diploma in electrical engineering from Aryabhatt Govt. Polytechnic Delhi, B.Tech degree in electrical engineering from Guru Gobind Singh Indraprastha University Delhi, M.Tech degree in electrical engineering from the National Institute of Technology (NIT) Hamirpur,