Advances in Data-Driven Computing and Intelligent Systems

A comprehensive review: Sentiment Analysis for Indian local Languages.- Face Recognition-Based Surveillance System.- Comparative Analysis of Malware Classification using Supervised Machine Learning Algorithms.- Noise filtering algorithm based on Machine learning for identification of ground hitting photons in Jaipur city.- Data-driven interior plan generation for residential buildings in Vietnam.- A weekly scheduling of operating theaters using Multi Agent Planner.- Using website content for detecting phishing URLs: A Novel approach.- Attention and Residual-Atrous Convolutional Learning-Based CNN Architecture for Lung Nodule Segmentation and Classification.- Adaptive Segmentation on Extracting Textural and Fractal Patterns for Assessing Mangrove Dynamics using Multi-spectral Data.- Exploring Multivariate Chemometric Tool for Simultaneous Determination of Erectile Dysfunction Drugs in Pharmaceutical Formulation.- Mass transport of combined oscillating electroosmotic and pressure drivenflow through cylindrical nanopore considering ion partitioning effects.- Audio Signal Analysis and Classification of Bluetooth Vulnerabilities using Machine Learning Techniques.- Performance Evaluation of Thresholding-based Segmentation Algorithms for Aerial Imagery.- Estimation of particle Froude Number in Deposited Bed Condition using Hybrid Machine Learning Models.- An Image based Automated Potato Leaf Disease Detection Model.- Unsupervised Synthetic Code-Mixed Data Generation.- Automated Building Segmentation in Areal images using Boundary Edge Detection.

Swagatam Das received the B. E. Tel. E., M. E. Tel. E (Control Engineering specialization), and Ph. D. degrees, all from Jadavpur University, India, in 2003, 2005, and 2009, respectively. Swagatam Das is currently serving as an associate professor and the head of the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India. His research interests include evolutionary computing and machine learning. Dr. Das has published more than 300 research articles in peer-reviewed journals and international conferences. He is the founding co-editor-in-chief of swarm and evolutionary computation, an international journal from Elsevier. He has also served as or is serving as the associate editor of the IEEE Transactions on Cybernetics, Pattern Recognition (Elsevier), Neurocomputing (Elsevier), Information Sciences (Elsevier), IEEE Trans. on Systems, Man, and Cybernetics: Systems, and so on. 
Snehanshu Saha holds Master's Degree in Mathematical and Computational Sciences at Clemson University, USA, and Ph.D. from the Department of Applied Mathematics at the University of Texas at Arlington in 2008. He was the recipient of the prestigious Dean's Fellowship during Ph.D. and Summa Cum Laude for being in the top of the class. After working briefly at his Alma matter, Snehanshu moved to the University of Texas El Paso as a regular full-time faculty in the Department of Mathematical Sciences, University of Texas El Paso. Currently, he is a professor of Computer Science and Engineering at PES University since 2011 and heads the Center for AstroInformatis, Modeling, and Simulation. He is also a visiting professor at the Department of Statistics, University of Georgia, USA, and BTS Pilani, India. 
Carlos A. Coello Coello (Fellow, IEEE) received the Ph.D. degree in computer science from Tulane University, New Orleans, LA, USA, in 1996. He is currently a professor with Distinction (CINVESTAV-3F Researcher), Computer Science Department,