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Smart Objects and Technologies for Social Good

Editat de Hiep Xuan Huynh, Nhan Thanh Le, Fabien Ferrero
en Limba Engleză Paperback – 24 feb 2027

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Specificații

ISBN-13: 9783032340542
ISBN-10: 3032340543
Pagini: 542
Dimensiuni: 155 x 235 mm
Editura: Springer Nature Switzerland AG

Cuprins

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.