Description
Book SynopsisPart-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.
