Intelligent Systems and Data Science

Part-I.

AI in Agriculture, Aquaculture, and Environments
.- Evaluating Spatial Coverage in UAV-Based Rice Growth Stage Classification with Deep Learning Models.
.- Improving Rice Disease Segmentation via Iterative Pseudo-label Correction.
.- Explainable AI for Agriculture: Teacher-Student Learning in Rice Pest Classification.
.- Optimizing EfficientNetV2 for Insect Classification.

AI in E-Commerce, Education, and Society
.- Semantic Similarity for User-based Collaborative Recommendation Systems.
.- Reforming Attention in Transformer-based Graph Neural Networks for Fashion Recommendation.
.- Decision Support System for Selecting Majors in IT Training Programs.
.- An Explainable Biased Multi-Relational Matrix Factorization Model using XAI for Recommendation Systems.
.- An Efficient Lightweight Multimodal Framework for Autism Behavior Recognition on the AV-ASD Dataset.

AI in Health Care Analytics
.- Painless and Accurate AI-driven Method for Personal Glucose Tracking based on Multi-Spectral Sensing.
.- MS-CXR: Improving Multi-label Chest X-ray Classification via a Multi-Architecture Soft Voting.
.- ESQ-YOLO: An efficient method for blood cell detection based on improved YOLOv8.
.- Breast Cancer Classification using Ensemble Deep Learning with RIDOPT-NET.
.- A Semi-automated MRI-Image Processing System for Exploratory Analysis of Radiomics Features Toward Clinical Prediction of Meningioma Growth.
.- A Meta-Classifier Built on Self-Supervised Models for Improving Chest X-ray Image Classification.

Big Data, IoT, and Cloud Computing
.- Secure Offloading for Terahertz-Band UAV-aided MEC Backscatter Communication Networks.
.- Enhancing Model Privacy and Security for Blockchain-based Federated Learning.
.- An Improved Low-Power Wearable Sensor for Dairy Cow Behavior Classification Using Deep Learning Algorithms.
.- A Time-Frequency Signal Analysis System for Drastic Improvement of Sensitivity and Detection Duration of Biosensors.

Intelligent Systems
.- Vibration-based Diagnosis and Monitoring of Bearing Degradation.
.- Random Forest with Z-score in Supervised Machine Learning.
.- Optimizing Image Colorization: Innovations with CVAE.
.- Ontology-Enhanced Semantic Image Search with Deep Learning and CLIP Embedding.
.- Deep Ant Colony Optimization for Electric Pickup and Delivery Problem.
.- Automatic 3D Space Reconstruction System From Video Using 3D Gaussian Splatting.
.- Automated Trace Clustering: Selecting Feature Encodings and Clustering Algorithms Based on Process Model Quality.
.- AI-Agent-Powered Video Object Contextualization & Retrieval System: Architecture and System.
.- AGSEU-Net: An Optimal Deep Learning Framework for Noise Filtering.

Natural Language Processing
.- Enhancing Vietnamese Hate Speech Detection with Multi-Agent Debate.
.- Enhanced Chart Detection in Document Images with Segmentation Backbone.
.- ChartLite: Simplified End-to-End Extraction of Chart Data for Enhanced Visual Understanding.
.- Applying Large Language Model in Survey Extraction.
.- AI-Powered Investment Advisor: Enhancing Financial Decisions with NLP and Predictive Analytics.
.- A Novel Pipeline for Automatic UML Sequence Diagram Synthesis and Multimodal Scoring.

Part -II.

AI in Agriculture, Aquaculture, and Environments
.- LAVA: Leveraging Self-Attention to Learn Video Features for Wastewater Pipe Anomaly Detection.
.- Tomato Leaf Classification Using GAN-Generated Images.
.- AquaNetCT: Detecting and Representing Urban Drainage Networks from Video Analysis.
.- A Portable Multi-spectral Sensor-Based System with Machine Learning Models for Non-Destructive Sweetness Assessment of Cherry Tomatoes.

AI in E-Commerce, Education, and Society
.- Student Engagement Estimation in Classroom Videos Using Video Swin Transformer.
.- ROPEVISION: A Computer Vision-Based System for Jump Rope Technique Recognition and Counting.
.- CAHIM: Contructing Auto-generated HIstorical Mindmaps based on Clustering and Ontology Structuring.
.- Applying the Temporal Fusion Transformer Model in Stock Price Forecasting: The Cases of VIC, VRE, and VHM.
.- A Dual-Stage AI Model for Personalized Major Advising.

AI in Health Care Analytics
.- SAM Meets U²-Net: Minimal-Supervision Skin Lesion Segmentation.
.- Retrospective Contribution Analysis of Intrinsic 3D Breast Features for Esthetic Outcome Evaluation of Breast Reconstruction Surgery.
.- Gestational Diabetes Prediction using Classification Methods.
.- GeKAN: Enhancing High-Dimensional Gene Expression Classification with Feature-Selected Kolmogorov-Arnold Networks.
.- Fuzzy-EDTrans: A Fuzzy Ensemble Learning Approach for Brain Tumor Classification.
.- A Machine Learning-Based Tool for Autism Screening Using Psychological Medical Records.
.- A Deep Learning Framework with Squeeze-and-Excitation Attention for Guava Disease Classification.

Big Data, IoT, and Cloud Computing
.- Towards End-to-End Traffic Congestion Estimation Using Learned ROI and Vehicle Object Dynamics.
.- Simultaneous Low-light Image Enhancement and Deblurring for Surveillance Systems using Intelligent Cameras.
.- Design of a Solar-Powered AIoT System for Safety Corridor Violation Detection in High-Voltage Power Transmission Networks.
.- A Real-time Adaptive Traffic Signal Control Framework Using Graph Neural Networks and Multi-Agent Reinforcement Learning with Crowdsourced Event Integration.

Intelligent Systems
.- Towards Local Learning Algorithm on Apache Spark for Large Datasets.
.- PM2.5 prediction model using CNN with Depthwise Separable Convolution and Bi-LSTM.
.- Improving Data Quality Post-Anonymization in K-Anonymity Models Using a Hybrid Artificial Rabbit and Arctic Puffin Optimization.
.- FMN-OE: Evaluation And Elimination Of Hyperbox Overlap.
.- Enhancing Cryptocurrency Forecasting Using Temporal Features On High-Frequency Data.
.- Edge-Optimized CNN Accelerator: A Flexible and Lightweight Architecture.
.- DWACE: Enhancing Graph Clustering via Autoencoder and Contrastive Learning Refinement of DeepWalk Embeddings.
.- Defective and Non-defective Printed Lot Information Classification based on Optical Character Recognition.
.- A Method for Enhancing Images Quality based on Machine Learning.

Natural Language Processing
.- Vietnamese Certificate Analysis: Addressing Hybrid Document Challenges through Multimodal Layout-Text Fusion.
.- Reflective Thought and Code for Solving Numerical Problems with Large Language Models.
.- RCM-MSA: Robust Contextual Modeling for Multi-modal Sentiment Analysis Using Transformer and Attention Mechanism.
.- Integrating Information Retrieval and LLMs: A Document Retrieval Chatbot in Education Settings.
.- Graph-Beam Retriever: A Lightweight Framework for Evidence Selection in Vietnamese Fact Verification.
.- Benchmarking Conventional, Deep, and Large Language Models on Vietnamese Clickbait Detection.