E-raamat: Soft Computing and Its Engineering Applications: 7th International Conference, icSoftComp 2025, Hanoi, Vietnam, December 9-11, 2025, Proceedings, Part I

.- 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.