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Full Description
This book constitutes the refereed proceedings of the First International Conference on Computational Intelligence and Soft Computing, CISCom 2025, held in Melaka, Malaysia, during November 26-27, 2025.
The 52 full papers presented in this volume were carefully reviewed and selected from 281 submissions.
These papers focus on platform for high-quality research exchange and fostering collaboration among scholars from around the world.
Contents
.- ISSN (Identification of Sex Specific Neurobehaviour): A Multimodal Machine Learning Model for Attention Deficit Hyperactivity Disorder (ADHD).
.- Optimizing Resource Utilization by Saturation based Image Processors using Reversible Logic Concepts.
.- Low Power, Area Efficient Very Large Scale Integration Design Of 128 -Bit Aes Based Cryptography Scheme: A Systematic Review.
.- Comprehensive Evaluation of Faculty Information Systems: Integrating Web Technologies, Natural Language Processing, and Scalable Data Management.
.- Deep Neural Network Applications for Recognizing Human Activity.
.- URL-based Web Phishing Detection using Machine Learning.
.- EduGrow360 - An Interactive Learning Application for Children.
.- Optimizing Sparse Weighting in RPCA for Enhanced MR Image Reconstruction.
.- Machine Learning Techniques for the detection of Melasma disease: A Comprehensive Review.
.- Pioneering Quantum-Safe Cryptography: Securing The Future Of Data Privacy.
.- Data Management in Edge Computing: A Systematic Survey of Techniques, Challenges and Research scope.
.- Exploring the Role of Federated Learning and Split Learning in Advancing Healthcare Technology.
.- Machine Learning-Based Approach for Effective Heart Disease Detection and Classification.
.- ZeroTouch GenAI Coach: SelfHealing SDLC Pipelines for FinTech MicroServices.
.- Advances in Blockchain-Enabled Deep Learning for Privacy-Preserving Chest X-Ray Diagnosis: Emerging Trends in Federated, Edge, and Explainable AI.
.- A Multi-Stage Acoustic Biomarker Stratification Framework for Parkinson's Disease Using Ensemble and Kernel-Based Discriminative Learning Models.
.- Safeguarding Medical Research with Digital Timestamping.
.- Multi-Class Classification of Red Rot Disease Severity in Sugarcane Using Transfer Learning Approaches.
.- A Residual Learning-Based Hybrid Forecasting Architecture Integrating ARIMA and LSTM for Spatio-Temporal Modeling of Agricultural Yield Prices.
.- IoT-Enabled Smart Agriculture: A Comprehensive Analysis of Solutions, Challenges, and Future Directions.
.- Toward Trustworthy Predictive Healthcare: A Strategic Review of Smart and Secure AI Applications.
.- Advancing Reasoning in Large Language Models: Promising Methods and Approaches.
.- Adversarial Validation for Identifying Hidden Data Leakage in Machine Learning.
.- Neuromorphic Computing Environment for Optimized Real-Time Obstacle Detection Using Integrated & Hybrid YOLO-SNN models with Advanced Simulation.
.- U-Shaped Generator and Residual Discriminator Network-Based Facial Expression Analysis for Academic Engagement Monitoring.
.- An Automated Run-out System in Cricket: A Scope of No Mistake with Computer Vision Algorithm.
