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 2627, 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.

Inhalt

.- 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: SelfHealingSDLC Pipelines forFinTechMicroServices.

.- 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.