Advances in Data-Driven Computing and Intelligent Systems

Deep learning models for classification of remotely sensed data of sugarcane.- Detection and Analysis of Wormhole Attacks in the AODV Routing Protocol with IEEE 802.11p for the Internet of Vehicles.- A Systematic Review of NLP Applications in Clinical Healthcare: Advancement and Challenges.- An Investigational Analysis of Automatic Speech Recognition on Deep Neural Networks and Gated Recurrent Unit Model.- Matched Filter and Kirsch's Template based approach for Retinal Vessel Segmentation.- Prediction of abnormality in kidney function using classification techniques and fuzzy systems.- Implementation of Parallel Applications on the Hypercube Topology by Using Multistage Network.- Integrating Artificial Intelligence for Adaptive Decision-Making in Complex System.- Qualitative Research Reasoning on Dementia Fore-cast using Machine Learning Techniques.- Implementation of Vision Transformers on SPECT Heart Dataset: A Comparative Study.- CSR U-Net: A Novel Approach for Enhanced Skin CancerLesion Image Segmentation.- Automatic Detection and Classification System for Mesothelioma Cancer using Deep Learning Models with HPO.- A systematic literature survey on IoT in Healthcare: Security and Privacy Threats.- Hybrid Deep Learning Framework for Glaucoma Detection Using Fundus Images.- Sunflower Optimization with Elite Learning Strategy (SFO-ELS) for Antenna Selection in Massive MIMO Sub Array Switching Architecture.- Machine Learning Models for Human Activity Recognition: A Comparative Study.

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 Degreein 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,