Soft Computing and Its Engineering Applications

.- Theory and Methods. .- Toward Human-Level Task Automation with Large Action Models. .- Efficient LLM Framework Using LORA Based Fine Tuning to Analyse Textual Astronomical Data. .- ChipClaude: A Framework for Natural Language-Based Hardware Design Using LLM Distillation. .- FactFrame-X: A Self-Attention-Enhanced NLP Model with XAI for Classifying Hyperpartisan News in Online Media. .- Linguistic Variations in WhatsApp Chats of Multilingual South Karnataka Natives: A Case Study on Chats Generated by Engineering Student Groups. .- LLM-Based Vulnerability Detection in Decompiled Binary Code for Automated Reverse Engineering. .- Collaborative Multi-Agent LLMs for Autonomous Portfolio Management: An Empirical Study of Distributed AI Decision-Making in Financial Markets. .- Analyzing Library Borrowing Patterns and Predicting Circulation Trends Using Data-Driven Approaches. .- Automated Segregation, Quality Prediction, and Disease Detection of Pomegranates Using Deep Learning. .- Discovering the significance of LLM's in Medi-cal Science for Disease Detection. .- PSKA-UAV: A Pre-Shared Key-Based Authentication Protocol for Secure and Efficient Communication between UAV and GCS. .- Signature-Based Anomaly-Aware DAG Execution for Efficient Real-Time Data Quality Remediation. .- Adversarial Robustness in AI-Driven Bioinformatics Pipelines A Cyber-Biosecurity Perspective. .- SECAT: A Lightweight Image Encryption Scheme using Cellular Automata Rules and Tinkerbell Map for IoT Devices. .- Lightweight Real-Time Anomaly Detection on IoT Edge Devices Using Machine Learning. .- Defeating Evasion Attack- An Adversarially Trained Ensemble for Phishing URL Detection. .- Evaluating an ELiPS-Based CP-ABE Enhancement on Server and IoT Platforms. .- HAD-IDS: A Hybrid Adversarial Defense Framework for Intrusion Detection Systems. .- FORMAL-IoT:Formal Models and Adaptive Defense Methodology Against Optical and BLE Side-Channel Attacks on Smart IoT Devices. .- AI-Powered intelligent assistant for predictive maintenance decision support and automated operational processes: a self-learning approach. .- An Efficient Scheduling Method for Taxi Ridesharing. .- A Framework for Prompt-Driven Deep Reinforcement Learning in Modern Predictive Maintenance. .- Systems and Applications. .- A Hybrid AI-Based Model for Secure Image Encryption in Cloud Storage Systems. .- HERMES: Design and Deployment of a Hybrid AI/ML Network Security System on ARM Clusters for Edge Environments. .- Enhancing Fake Review Detection with Transformer-Based Embeddings and Behavioral Features. .- Multiclass Classification of Rice Plant Leaf Diseases Using Image Processing and Vision Transformer (ViT) Deep Neural Network. .- Performance Evaluation of Clustering Algorithms Applied to Web Services. .- Rule Based Transliteration System: An Extensive Study. .- Temporal-Aware Machine and Deep Learning Models for Intrusion Detection Using Engineered Features and UNSW-NB15 Dataset. .- Cyberbullying Detection Using Machine and Deep Learning Models on a YouTube Dataset. .- CL-PPIIMS: A Cognitive Load-Based Privacy-Preserving Intelligent Interruption Management System. .- An Ensemble Machine Learning Based Cyber Attack Detection Framework for IoMT Networks. .- Enhanced Anomaly Detection in IoT Networks Using Machine Learning and Deep Learning Approaches. .- Privacy-Preserving ETL Pipelines for Sensitive AI Systems: A Dual-Domain Evaluation Using Differential Privacy. .- A Robust Parametric Watermarking Framework for Deep Neural Network Ownership Verification. .- Formal Specification and Verification of Smart Contract Access Control Policies. .- From Taste to Text: Fine-Tuning ASR for Vietnamese Sensory Evaluation Domain. .- Morphological and Contour-Based Handwritten English Word Segmentation on IAM Dataset.