Smart Objects and Technologies for Social Good 10th EAI International Conference, GOODTECHS 2024, Can Tho, Vietnam, December 19–20, 2024, Proceedings, Part I /

Xehetasun bibliografikoak
Erakunde egilea: SpringerLink (Online service)
Beste egile batzuk: Huynh, Hiep Xuan (Argitaratzailea), Pham, Congduc (Argitaratzailea), Duong-Trung, Nghia (Argitaratzailea)
Gaia:XV, 232 p. 98 illus., 74 illus. in color.
text
Hizkuntza:ingelesa
Argitaratua: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edizioa:1st ed. 2025.
Saila:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 648
Gaiak:
Sarrera elektronikoa:https://doi.org/10.1007/978-3-032-01472-6
Formatua: Baliabide elektronikoa Liburua
Aurkibidea:
  • Part-volume-I: Advances in Artificial Intelligence, Machine Learning, and Blockchain Applications Across Diverse Domains.
  • A Comparison of Deep Learning Models for White Blood Cell Detection.
  • An Integration of VGG19 and SARIMAX in Water Level Forecasting Using Satellite Imagery and Time Series Data.
  • Using Auto Immune LightGBM (AI-LGBM) for Prediction of Ground Water Quality in Vietnam and Indian Regions.
  • EIS-PoI: An Energy-driven Approach for Instance Segmentation Using Points of Interest.
  • Blockchain Application in Online Certificate Issuance and Verification Certificate System.
  • Smart Contract Integration in Tuition Management.
  • Model Integrating CNN, Gated Recurrent Unit and Genetic Algorithm for Rainfall Forecasting from Radar Images at Phadin Station.
  • Approach to Scalable Machine Learning Operations (MLOps) Architectures for Research Labs with Limited Hardware Resources.
  • A New Architecture for Controlling IoT Devices of Smart Room using ESP32 Microcontroller.
  • Energy Correlation-Based EBM for Skin Lesion Classification: A Novel Approach.
  • Caught in the Lens: Zero-Shot BioCLIP Struggles with Camera Trap Wildlife Images.
  • Blending Federated Learning and Value-Sensitive Design for Ethics and Privacy-Preserving in Education
  • Missing Data Imputation for Sensor Observation Streams Leveraging Data Correlation and Message Propagation
  • Analyzing Social Networks Using Graph Neural Networks with Advanced Hyperparameter Optimization Techniques
  • Automatic Recognition and Scoring System in Military Training Applies Modern Deep Learning Techniques
  • Enhancing Transformer-Based Object Detection Model For Aerial Images
  • Water Quality Inspection System for Mariners Using EKI’s Continuous Learning Algorithms. Part-volume-II: Innovations in Energy-Based Models, and Advanced Predictive Systems Across Diverse Domains.
  • Enhancing the Quality of Recommendation Lists using Graph Convolutional Networks.
  • A Method Utilizing Energy Distance to Address Sparsity of Dataset in Recommendation Systems.
  • Energy-Based Models with Energy Distance for Video Captioning.
  • Detecting Driver Drowsiness Using Deep Learning Techniques.
  • Energy Distance in Popular Filtering and Recommendation.
  • Enhancing User-Base Context-Aware Collaborative Filtering Using Energy Distance with Pre-Filtering Contextual Features.
  • Enhancing Motion Estimation with BM-EDM Method.
  • EMPD: Energy-based Motion Pattern Detection.
  • Personalized Travel Experiences: Contextual Data-Based Recommendation Solutions.
  • Enhancing Deep Learning Models for Crop Disease Detection Using Keras Tuner.
  • Missing Data Imputation with Graph Neuron Networks and Message Propagation.
  • A novel framework for real-time analysis of outlier IoT data.
  • Cortex Vision: Detection of Ophthalmic Disease Using Machine Learning Algorithm.
  • Real-time Object Detection Based on Yolov8.
  • Combining Accuracy and Diversity to Enhance the Quality of the Recommender System.
  • Combining Lightweight Deep Learning Models with Data Augmentation for Analysis of Cervical Cells.
  • Energy-based Framework for Tag-based Recommendation Systems.
  • Enhancing Water level forecasting models Based on Ensemble Learning.
  • Advanced Predictive Modeling of Forex Market Fluctuations Using Ensembles Learning.
  • Data Analysis and Classification of the News.
  • Building An Automatic Traffic Monitoring System Based On Webgis 3D.
  • Detecting Abnormal Cervical Cells Based on Segmentation of Overlapping Cells.
  • A Multi-model Testcase Recommendation System for Teaching Programming in Higher Education.
  • Energy-Based Bounding Box Generation for Object Detection.
  • Forecasting Storms and Floods in Vietnam with Deep Learning Methods.
  • Lane-based vehicle recognition using deep learning models.
  • Application of Machine Learning Models for Cardiovascular Disease Prediction.