Patel / Santosh / Gomes de Oliveira Soft Computing and Its Engineering Applications

7th International Conference, icSoftComp 2025, Hanoi, Vietnam, December 9–11, 2025, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-22062-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 502 Seiten

Reihe: Communications in Computer and Information Science

This three-volume set CCIS 2873-2875 constitutes the revised selected papers of the 7th International Conference on Soft Computing and its Engineering Applications, icSoftComp 2025, held in Hanoi, Vietnam, during December 9–11, 2025.

The 105 full papers and 7 Short papers included in these volumes were carefully reviewed and selected from 710 submissions. They were organized in topical sections as follows:

Part I: Theory and Methods.
Part II: Theory and Methods; Systems and Applications.
Part III: Systems and Applications; Hybrid Techniques; Soft Computing for Smart World.

Zielgruppe

Research

Autoren/Hrsg.

Patel, Kanubhai K.

Santosh, KC

Gomes de Oliveira, Gabriel

Patel, Atul

Ghosh, Ashish

Inhaltsverzeichnis

.- 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.