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Smart objects and technologies for social good = 10th EAI International Conference, GOODTECHS 2024, Can Tho, Vietnam, December 19-20, 2024 : proceedings.. Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart objects and technologies for social good/ edited by Hiep Xuan Huynh, Congduc Pham, Nghia Duong-Trung.
Reminder of title:	10th EAI International Conference, GOODTECHS 2024, Can Tho, Vietnam, December 19-20, 2024 : proceedings.
remainder title:	GOODTECHS 2024
other author:	Huynh, Hiep Xuan.
corporate name:	GOODTECHS (Conference)
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xvi, 308 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Cooperating objects (Computer systems) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-032-01497-9
ISBN:	9783032014979

Smart objects and technologies for social good = 10th EAI International Conference, GOODTECHS 2024, Can Tho, Vietnam, December 19-20, 2024 : proceedings.. Part II /
Smart objects and technologies for social good10th EAI International Conference, GOODTECHS 2024, Can Tho, Vietnam, December 19-20, 2024 : proceedings.Part II /[electronic resource] :GOODTECHS 2024edited by Hiep Xuan Huynh, Congduc Pham, Nghia Duong-Trung. - Cham :Springer Nature Switzerland :2025. - xvi, 308 p. :ill. (some col.), digital ;24 cm. - Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,6491867-822X ;. - Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ;649..

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.

The two-volume set LNICST 648 and 649 constitutes the refereed post-conference proceedings of the 10th EAI International Conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2024, held in Can Tho, Vietnam, during December 19-20, 2024. The 17 full papers and 27 short papers included in these volumes were carefully reviewed and selected from 102 submissions. They focus on a wide range of advancements in smart technologies aimed at promoting social good. Key topics include cutting-edge research in Internet of Things (IoT) security, innovative applications of artificial intelligence in domains such as healthcare, education, and environmental monitoring, and energy-efficient systems. They were organized in topical sections as follows: Part I: Advances in Artificial Intelligence, Machine Learning, and Blockchain Applications Across Diverse Domains Part II: Innovations in Energy-Based Models, and Advanced Predictive Systems Across Diverse Domains.

ISBN: 9783032014979

Standard No.: 10.1007/978-3-032-01497-9doiSubjects--Topical Terms:

3218484
Cooperating objects (Computer systems)
--Congresses.

LC Class. No.: TJ212.2

Dewey Class. No.: 006.22

Smart objects and technologies for social good = 10th EAI International Conference, GOODTECHS 2024, Can Tho, Vietnam, December 19-20, 2024 : proceedings.. Part II /
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