Buch, Englisch, 542 Seiten, Format (B × H): 155 mm x 235 mm
11th EAI International Conference, GOODTECHS 2025, Rach Gia, Vietnam, December 18-20, 2025, Proceedings, Part I
Buch, Englisch, 542 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-34054-2
Verlag: Springer Nature Switzerland AG
The three-volume set LNICST 708-710 constitutes the refereed post-conference proceedings of the 11th EAI International Conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2025, held in Rach Gia, Vietnam, during December 18–20, 2025.
The 103 full papers included in these volumes were carefully reviewed and selected from 264 submissions. They are organized into the following topical sections:
Part I: Artificial Intelligence and Machine Learning; Computer Vision and Image Processing; Healthcare and Medical Technologies.
Part II: Healthcare and Medical Technologies; Natural Language Processing and Large Language Models; IoT and Smart Systems.
Part III: IoT and Smart Systems; Cybersecurity and Privacy; Education Technology and Social Impact; Agriculture and Environmental Technologies; Intelligent Control and Transportation Systems.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Artificial Intelligence and Machine Learning.- PADDLE: Weight Parameter Management for Deep Learning Models.- FedEwma: A Federated Learning Framework with Server-side Exponentially Weighted Moving Average for Heterogeneous Data.- Adaptive Federated Learning with k-Means++ for Rare-Class IoT Intrusion Detection.- Equity-Aware Machine Learning Framework for Mental Health Treatment Prediction and Recommendation.- Optimizing Blood Supply Chains: An Agent-Based and AI Approach.- A Hybrid Genetic Algorithm for the Vehicle Routing Problem with Time Windows.- The Convergence of Intelligence and Connectivity: A Comprehensive Review of Machine Learning in Communications.- Adaptive Learning Improved: Optimizing Object Recognition with Enhanced Algorithms.- Artificial Intelligence to Improve Workflow in Software Development- Rank-Optimized Parameter Adaptation: Performance Analysis of LoRA Across Diverse NLP Tasks.- An Intelligent System for Automatic Mind Map Generation from Text Document.- Conversational AI Solutions for the Digital Transformation of Small and Medium Enterprises in the Agriculture and Trade Sectors.- A Robust Ensemble Learning Framework for Daily Electricity Demand Forecasting: Feature-Driven Modeling and Practical Deployment Potential.- Computer Vision and Image Processing.- Image Classification Using Knowledge Distillation with Energy-Based Models.- Enhancing Dragon Fruit Ripeness Classification Using Transfer Learning.- AdapterRGBD: Depth-Aware Image Generation for Enhanced Object Detection.- Multi Coin-Based Reference Markers for Reliable Object Velocity Estimation.- Mango Ripeness Recognition through Images with Energy-Based Model.- Robust Structural Defect Detection on Telecommunication Antenna Towers Using Hyperparameter-Optimized YOLOv8 Segmentation.- Advancing Leaf Disease Detection: Instance Segmentation of Cucumis Melo L. Using YOLOv8n-Seg.- Real-time Detection of Wrong-Lane Behavior with Multi-class Vehicle Tracking.- HAIVAN-BSYOLO: A Hybrid Background Subtraction and YOLO-Based Model for Small Vehicle Detection in Urban Traffic Scenes.- Enhanced Traffic Sign Recognition on Multi-Speed Expressways in Vietnam Using YOLO and Lightweight Polygon-Based Lane Detection.- Improving Clothing Size Recommendation Using YOLOv11-Based Body Measurement and Ensemble Learning.- Landmark-Guided Multi-View Face Synthesis via Lightweight Adversarial Learning.- VietSGG: A Benchmark Dataset and Baseline Models for Vietnamese Scene Graph Generation.- Optimization of Image Retrieval in Graphic Design via Digital Image Feature Extraction.- Monitoring Rice Seedling Emergence with UAV Imagery and Deep Learning under Manual Sowing Conditions.- Utilizing Deep Learning for Change Recognition in Mangrove Forests: A Case Study of Ninh Binh, Vietnam.- Leveraging AlexNet-driven Deep Learning Framework for Image-based Multiclass Facial Emotion Recognition.- Adaptive Deep Architectures for Taxonomic Classification of Macrofungi.- Combining Deep Learning and DeepSort in Orange Detection and Classification: Enhancing Efficiency and Accuracy with a Three-Class Model.- A Lightweight and Sustainable Pipeline for Automated Orange Fruit Disease Classification Using Classical Image Features and Logistic Regression.- Healthcare and Medical Technologies.- DermaFusion-GRAG: A Multimodal AI Framework for Dermatology Diagnosis.- Improving Brain Tumor Segmentation with 3D-ResAttUnet.
