Full Description
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.
Contents
.- Systems and Applications.
.- A Multi-Layered Privacy-Preserving Framework for Large Language Models in Healthcare.
.- Zero Trust Architecture for Secure IoT-Enabled Medical Device Networks.
.- Classification of Non-Hodgkin Lymphoma using Optimized Inception V3-DBO Model.
.- Transforming Breast Cancer Detection in IoT-Enabled Healthcare With a Portable CNN-Based Embedded Diagnostic System.
.- Design of a Web-based Platform to Leverage MATLAB Functionality for Digital Engineering.
.- AI-Driven Mental Health Prediction and Therapy for Early Adulthood: Relapse prediction after initial treatment response.
.- Multi-Acoustic Feature Fusion with Convolutional Networks for Speech Emotion Recognition.
.- Enhancing Early Alzheimer's Detection with Transfer Learning on MRI Data.
.- Empowering WCMS by Automatic Document Classification and Improved the Security Using AI and Blockchain Technology.
.- AI-Powered Dashboard for User-Centric Financial Data Analytics and Intelligent Stock Prediction.
.- A system of ODEs affected by data uncertainty steered by Monte Carlo on the Web Statistical assessment applied to dialysis.
.- Electrical Engineering Degree Planning and Advising Platform.
.- Beyond Keyword Matching: A Contextual NLP System for Profile Screening.
.- Detection, Segmentation and Health Classification of Coffee Leaves in the Wild.
.- Performance analysis of Quadruple Code Index Modulation (QCIM) with spatially correlated antennas under slow time varying channel for advanced 6G cellular radio communication.
.- Development of a System for Creating Balanced Educational Programs.
.- Study Buddy: A Virtual Reality-based Interactive Learning Application for Kindergarten Students.
.- Facial Recognition-Based Attendance System: An AI-Powered Solution.
.- An Analysis of the Modern Age Susceptibility of Compact Wearables.
.- Performance analysis of Non-Orthogonal Multiple Access (NOMA) for advanced 6G cellular radio communication under Nakagami-m fading channel.
.- An Intelligent Framework for Early Banana Plant Disease Diagnosis Using AI and Precision Agriculture Techniques.
.- System Design Methodology and Efficiency Optimization of Wireless Charging for Electric Vehicles.
.- CRNN with BiLSTM-CTC for Robust Recognition of Gujarati Handwritten Words and Lines.
.- Machine Learning based Prediction of High-risk Glaciers.
.- Machine Learning-Driven Analysis of Urbanization in Haldwani Using Sentinel-2 Multispectral Data.
.- Automatic Extraction of Topographical Features from Satellite Images using Deep Learning Methodologies.
.- Hybrid Techniques.
.- Minimizing the Weight of Conflict-Free Spanning Trees: An Extension of Hybrid Steady-State Genetic Algorithm using Variable Neighborhood Search.
.- Hybrid Evolutionary Deep Learning Framework with Optimized Features and Segmentation for Glaucoma Detection.
.- A Hybrid Regime-Switching GARCH-EVT Model for Adaptive Value-at-Risk Estimation in Financial Markets.
.- Design of a Hybrid Termite-Tuna Swarm Algorithm For Dynamic Network Optimization.
.- Adaptive Offloading Strategies for Hybrid Edge-Cloud AI Inference: A Latency-Aware Simulation Framework.
.- Autism Trait Detection Reinvented: A VAE-Based Deep-to-Tree Pipeline for Age-Specific Classification.
.- AI-Enhanced Hydrodynamic Modeling for Intelligent Flood Forecasting, Inundation Mapping, and Risk Prioritization in The Panam River Basin.
.- Hybrid Deep Learning Architecture for Multivariate Time Series Forecasting: A Study on Urban Traffic Volume Prediction.
.- Advanced Motif Recognition in Biological Sequences Using Hybrid Meta-Heuristic Algorithms.
.- Soft Computing and Smart World.
.- Intelligent Feature Optimization for Anomaly Detection in IoT-Enabled Smart Urban Networks.
.- Sustainable Biomedical Waste Management: Artificial Intelligence Approach.
.- Multimodal AIoT Framework with Dynamic Fusion and Federated Learning for Smart Medicinal Plant Farming.
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