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Soft Computing and Its Engineering Applications: 7th International Conference, icSoftComp 2025, Hanoi, Vietnam, December 911, 2025, Proceedings, Part II [Pehme köide]

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  • Formaat: Paperback / softback, 502 pages, kõrgus x laius: 235x155 mm, 196 Illustrations, color; 63 Illustrations, black and white
  • Sari: Communications in Computer and Information Science
  • Ilmumisaeg: 11-Apr-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032220610
  • ISBN-13: 9783032220615
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  • Formaat: Paperback / softback, 502 pages, kõrgus x laius: 235x155 mm, 196 Illustrations, color; 63 Illustrations, black and white
  • Sari: Communications in Computer and Information Science
  • Ilmumisaeg: 11-Apr-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032220610
  • ISBN-13: 9783032220615
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 911, 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.
.- 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 LLMs 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.