This is the preferred LNCS proceedings of the14th International Conference, on Computational Data and Social Networks, CSoNet 2025, held in Danang, Vietnam, December 1416, 2025.

The 32 full appers and 16 short papers were carefully reviewed and submitted from 139 submissions.

Inhalt

Sparse Locality-Sensitive Hashing Attention Model for Phishing Detection.- Landmark-Guided Jigsaw Puzzle Autoencoders For Facial Expression Recognition.- A UAV-Relay and MEC with NOMA-enabled Backscatter Communications in IoT Network: Offloading Analysis and Optimization.- Integrating Network-Derived Metrics: A Feature Augmentation Framework for Improved Prediction.- Advancing Explainable AI in Early Screening of Neurodevelopmental Disorders: Approaches, Challenges, and Culturally Adapted Solutions.- Sheet2Music: A Deep Learning Pipeline for Automated Conversion of Sheet Music to Digital Audio.- Proposed identity-based authentication key exchange protocol for information security in enterprise network.- Fusing Structured Data with Vision- Language Transformer for Social Media Popularity Prediction.- Academic Twitter: Gender-based Differences in Content, Emotion, and Public Response.- Analyzing Sleep Disorders and Stages with Power Spectral and Multifractality from EEG Signals.- From Layoff to Reemployment Analyzing Social Media Narratives.- VoiceSpoof-VN: A Public Dataset for Anti-Spoofing in Vietnamese Speaker Verification.- Optimization Evaluation of Urban Park Vitality Based on Dynamic Fuzzy Cognitive Map.- Local Core Centric Walk for Influence Maximization.- Integrating Skeleton Graphs with Transformers for Gloss-Free Indian Sign Language Captioning.- From Local to National: Agent-Based Modeling of Integrated Indicators for Maternal and Child Health Project Expansion.- Epileptic Seizure Classification Using Machine Learning.- A Scalable Federated Learning Framework for Medical Image Classification Using Hadoop, Spark, Kafka, and PyTorch.- A Binning Approach based on Gaussian Mixture for Disease Diagnosis on Metagenomic data.- A Multistage Action Detection Framework for Customer Behavior Analysis in Retail
Surveillance.- Real-time Detection of Vegetables in Isolation and in Dishes.- A Blockchain-Driven Framework for Transparent and Secure Donation Management: The Role of Blockchain, IPFS, and NFTs.- Enhancing APT Attack Detection Performance Based on a Deep Learning and Transformer-Based Model.- Infodemic intelligence for 2025 infections: AIV, FMD, MPox, and HMPV.- Differential Learning for Data of Varying Importance via Selective Label Smoothing.- SentiFuse: Deep Multi-model Fusion Framework for Robust Sentiment Extraction.- 300 Food Ingredients Classification by combining CLIP and YOLO models.- Attention-Enhanced YOLO-Nano for Adverse Weather Object Detection.- Gesture-Based PowerPoint Control: A MediaPipe and Machine Learning Approach.- Mitigating False Positives in Robust DWT-SVD Image Watermarking for Secure Content Protection on Online Platforms.- ENHANCING LLM FOR CROSS-MARKET
SENTIMENT-DRIVEN STOCK PREDICTION.- Deep Learning Model on Embedded Board for Vehicle Detection and Energy Efficiency.- HAMP: A benchmarking dataset for hospital interior items recognition.- Automatically Generating Multiple-Choice Questions using Text-to-text Transformer.