Soft Computing and Its Engineering Applications

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.

Table of Contents:
.- Theory and Methods.   .- Encoder Decoder based Semantic Image segmentation model developed from the ground up. .- Variable Neighborhood Search for the Tree t-Spanner Problem. .- AI-Based Water Quality Prediction Using Machine Learning and Synthetic Minority Oversampling Technique.  .- Adaptive Mean Tree Volume Model in a Forest Stand Driven by Diffusion Processes. .- Algebraic Structure of Knowledge for Interactive Computing. .- Quantum Computing for Machine Learning Applications. .- Fusion Ant Optimization: A Multi-Heuristic Ant Colony Optimization for Steiner Tree Problem in Social Networks Analysis. .- The CO Pollution Prediction with Recurrent Neural Networks Optimized by Modified Firefly Algorithm. .- Task Scheduling and Resource Optimization using Slime Mold in Edge Computing. .- Enhancing Swarm Intelligence Algorithms through Integration of Mutation Operators for Optimized Performance. .- Assessing the Performance of Multi-Layer Perceptrons in Nanoparticle Property Classification. .- Enhancing Sarcasm Detection with Emoji Semantics and Transformer Architectures. .- A Simulation Framework for Evaluating Auto-Scaling Strategies in Cloud-Based AI Inference Workloads. .- Lunar Crater Detection Using Chandrayaan-2 TMC-2 DEM and OHRC Imagery with YOLO v12. .- Machine Learning-Driven Solar Irradiation Forecasting for Optimizing Green Hydrogen Production: A Comparative Analysis of Model Performance and Efficiency. .- 3D CNN for Hyperspectral-Based Water potability Detection. .- Bayesian MCMC Modeling of the Initial Mass Function in Young Massive Clusters: A Non-Parametric Approach to Hierarchical Fragmentation. .- Adaptive Marine Predator Algorithm for Global Optimization. .- LightGBM Classifier Optimized by a Modified Firefly Algorithm for Anomaly Detection in Operational Logs of Cloud Systems. .- A Quantum Computing integration of Cuckoo Search with Classification Algorithms for Metaheuristic Optimization. .- Optimal Vaccination Strategies for Pandemic Control: A Cost-Driven SIR Model with Domain-as-Particle PSO Optimization. .- Enhancing Social Media Trend Forecasting with Sequential and Ensemble Learning. .- Enhancing Reinforcement Learning Performance and Stability through Adaptive Quantile Sampling, Elastic Weight Consolidation, and Multi-Objective Regularization. .- Performance Evaluation of Clustering Strategies in Large-Scale WRSN Charging Scheduling Using Metaheuristics. .- Multilingual Music Deepfake Detection Using WavLM and MERT Audio Embeddings. .- Efficient Graph Construction and Neural Networks for Anti-money laundering. .- A Machine Learning Framework for Composite Analysis of Sunspots Activity Using Cosmogenic nuclides. .- A Synergistic Framework: Digital Twin Meets Blockchain for Next-Gen Healthcare Data Security and Analytics. .- A PSO-Fuzzy Approximate Reasoning Model for Decision Support in Remote Health Monitoring. .- Toward Transparent and Trustworthy AI for Breast Cancer Diagnosis: Deep Learning, XAI, and Ethical Perspectives. .- A Semantic Web Approach to Boost Engagement and Collaboration Among Online Health Communities. .- From Heavyweights to Lightweights: Efficient Transformer Optimization for Health Misinformation Classification. .- A Voting Classifier Approach for Intrusion Detection in Telecommunication Networks. .- Adaptive Early Fusion of Clinical Bag-of-Words and Chest X-ray Deep Features for Pulmonary Disease Diagnosis. .- ResDILI: drug-induced liver injury prediction model using ResNet-18 and ResNet-34. .- Challenge-Based Learning Mindset for Entrepreneurship Education.