Full Description
The book presents the proceedings of the 13th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2025), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, during June 6-7, 2025. Researchers, scientists, engineers and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into four volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.
Contents
Forecasting of Cognitive Neurological Imaging Using Hybrid Algorithms of Statistical Techniques and Machine Learning Models.- MonkeyPix: Optimization of a Pixel-wise Vision Transformer for Monkeypox Detection in Low-resource Environments.- Comparative Analysis of Deep Learning Models for Semantic Segmentation of Indian Remote Sensing (IRS) LISS-III Multispectral Imagery: U-Net, Deeplabv3+, and Tiramisu.- Internet of Things Security Framework Based on Light Gradient-Boosting Machine Optimized by Modified Bat Algorithm.- TANet: A Lightweight Deep Learning Model for Large-Scale Remote Sensing Image Classification.- Comparative Analysis of Random Forest and XGBoost Regression Algorithms for Predicting Mechanical Properties in polymer bio-composites: A Focus on Compressive, Flexural Strength, and Hardness.- F-Clone: A Comparative Analysis of DL-enabled Fingerprint Clone Generators and Anti-cloning Mechanisms.- Tribological Performance of LM25/SiC Composites at High Temperature with Machine Learning Approach.- Peak-Informed Segmentation and WaveNet-CNN: A Novel Approach to Fetal Heart Rate Analysis.- Computational Intelligence Approach for Reliability Enhance-ment in IOT Environment.- Anusandhana AI: A RAG-Based Yoga Chatbot for Enhanced Access to Yoga Research.- An Interpretable Lightweight CNN Framework for FaultDiagnosis in Centrifugal Pumps Using Time-Frequency Scalograms.- Advanced Fault Diagnosis in Milling Machines Using CQ-NSGT and Deep Learning.- Energy Efficient CNN Accelerator with e-FPGAs for XAI based Deep Fake Detection.- Ensemble-Based Machine Learning for Classification Of Enterprise Web Application Based Attacks.
