Advances in Applications of Data-Driven Computing

Genetic Algorithm based Two Tiered Load Balancing Scheme for Cloud Data Centers.- KNN-DK: A Modified k-nn Classifier With Dynamic k-Nearest Neighbors.- Identification of Emotions from Sentences using Natural Language Processing For Small Dataset.- Comparison and Analysis of RNN-LSTMs and CNNs for Social Reviews Classification.- Blockchain Based Model for Expanding IoT Device Data Security.- Linear Dynamical Model as Market Indicator of the National Stock Exchange of India.- E- Focused Crawler and Hierarchical Agglomerative Clustering approach for Automated Categorization of Feature Level Health Care sentiments on Social Media.- Error Detection Algorithm for Cloud Outsourced Big Data.- Framing Fire Detection System of higher efficacy Using Supervised Machine Learning Techniques.- Twitter Data Sentiment Analysis using Naive Bayes Classifier and Generation of Heat Map for Analyzing Intensity Geographically.- Computing Mortality for ICU Patients using Cloud based Data.- Early Detection ofPoisonous Gas Leakage in Pipe-lines in An Industrial Environment UsingGas Sensor, Automated with IoT(Internet of Things). 

Dr. Jagdish Chand Bansal is Associate Professor at South Asian University New Delhi and Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he has worked as Assistant Professor at ABV-Indian Institute of Information Technology and Management Gwalior and BITS Pilani, India. His primary area of interest is swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems from the engineering domain. He has published more than 60 research papers in various international journals/conferences. He has also received Gold Medal at UG and PG levels. He is Series Editor of Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing published by Springer. He is Editor-in-Chief of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also Associate Editor of IEEE ACCESS (IEEE) and ARRAY (Elsevier). He is the steering committee member and the general chair of the annual conference series SocProS. He is the general secretary of Soft Computing Research Society (SCRS). Emeritus Professor Lance C.C. Fung was trained as Marine Radio/Electronic Officer, and he graduated with a B.Sc. degree with First Class Honours and a M.Eng. degree from the University of Wales. His Ph.D. degree from the University of Western Australia was supervised by the late Professor Kit Po Wong. Lance taught at Singapore Polytechnic, Curtin University, and Murdoch University where he was appointed Emeritus Professor in 2015. His roles have included Associate Dean of Research and Director of the Centre for Enterprise Collaborative in Innovative Systems. He has supervised to completion over 31 doctoral students and published over 335 academic articles. His