- Research on the design of gender recognition games for preschool children based on Piaget's pre-arithmetic stage theory
- A Study on The Performances of Sui Move Object-Centric Models
- LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks
- A User Study on Deaf Individuals in VR Social Spaces - The Emergence of the VR Sign Language
- Driving Change or Doubt? A Sentiment Analysis of Malaysian Reactions to Electric Vehicles
- Solar-Powered PredictBot: AI-Driven Remote Sensing and IoT Integration for Real-Time Pest and Disease Detection in Agriculture
- Exploration of the Application of Multimodal Learning Theory in Educational Games for School-Aged Children on Intangible Cultural Heritage
- Performance Analysis And Prediction Model Evaluation For Dost-Assisted MSMEs Using Machine Learning
- Deep Unfolded Optical Decoder for LDPC Codes with System Noise Mitigation
- Using Generative AI to Develop Product Forms for Interactive Virtual Reality Educational Tools
- Behavioral Analytics in E-Learning: Deep Learning for Real-Time Interaction and Performance Prediction
- Employing Neural Networks for Heart Disease Prediction: A Deep Dive Into Machine Learning
- Computing the Low-Weight codewords of Punctured and Shortened Pre-Transformed Polar Codes
- Applicability of MongoDB for Smart City Digital Twin Implementation
- Research on electromagnetic and mechanical characteristics of high temperature superconducting coil for solar thermal heliostat power generation
- Design of Smart Trash Can for Waste Management Using MobileNet Model
- A Study on the Effect of Coaching Leadership and Psychological Empowerment on Job Performance
- Precision Ranking: Harnessing NLP and Normalization for Enhanced Rating and Review Analysis
- Attention-Driven Separable Convolutional Networks for Efficient and Explainable Forest Fire Detection: ForestFlameNet
- Accurate 3D Depth Mapping for Robotic Vision Using Fused CNN and Edge-Preserving Cost Aggregation in Stereo Matching
- Efficient Prediction of Cardiovascular Disease Using Machine Learning
- Automated Waste Sorting System Using Computer Vision and Robotic Manipulation
- Predictive User Engagement Modeling Using Time Series Analysis for Interactive Media and Gaming
- Error Analysis for POS Tagging of Hindi-English Code-Mixed Data
- OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection
- Learning From Crowdsourced Noisy Labels: A signal processing perspective
- Stealthy No More: An Effective Ensemble Learning Approach for Detecting Android RATs
- Sensitivity Analysis Exploration of ML Architectures to TinyML Techniques
- AI and Automation in Organ-on-a-chip Technology: Advancing Personalized Medicine and Disease Modeling
- Designing Interactive Distractor Scenarios in Redirected Walking: Towards a Conceptual Framework
- A Study On Factors Affecting To Innovative Business Model Of Start-ups In Vietnam Using AHP technology
- Robust Speech Recognition for Visual Acuity Testing in Multi-Speaker Clinical Environments
- A Novel Clustering-Based Anomaly Detection Approach Using a Game Engine for Road Safety
- Integrating Artificial Intelligence in Human Resource Management with reference to Autonomous Engineering Institutions: A Review
- Modeling of Dengue-Related Dataset using Artificial Intelligence and Natural Language Processing
- Multi-Criteria Recommender System for Optimization Search Charging Station Electric Vehicle
- Bayesian Optimization for a Permissioned Blockchain: A Data-Driven Approach to Optimal Parameter Selection
- Development of a Gamified 3D Mobile Crowdsensing System for Sustainable Spatial Digital Twins
- Hypergraph-driven Anomaly Detection in Dynamic Noisy Graphs
- Geometric and Probabilistic Shaping to Enable LDPC Encoding with Linear Complexity
- Taipei-Topia: Aesthetic Approaches to Exploring the Nowhere in the Generative AI Artwork
- A Non-Intrusive and Cost-Effective IoT-Based System for Smart Monitoring of Power Consumption
- DreamReward-X: Boosting High-Quality 3D Generation with Human Preference Alignment
- Optimising Real-Time Fall Detection: A Comparative Study of Machine Learning Algorithms Using IMU Sensor
- Machine Learning Engine for Real Estate Price Estimation
- Bridging Language Gaps: an Offline Mobile Translation App for Filipino Dialects
- Synthetic Data for Indoor Positioning Systems: Reducing Offline Collection Costs
- A VR-Based Game for WASH FIT Training to Assess and Minimize Health Risks in Healthcare Facilities
- Leveraging Machine Learning Models for Climate Data Interpretation and Forecasting
- An Energy-Aware Q-Learning for Cluster-based Routing in WSNs
- Optimal Design of the Outer-Rotor BLDC Motor for Electric Bike
- Fast and Accurate Inductor Design Using Feedforward Neural Networks Trained By Quasi-Newton Method
- Vision-Based Real-Time Measurement System for Predrilled-Hole Inspection on Wooden Planks
- Comparative Analysis of RF, Naive Bayes and GRU Algorithms for Network Traffic Prediction in VANET
- A study of the development framework followed to integrate the Shopify SDK in an iOS app, built using SwiftUI
- A Privacy-Preserving System for AI-Powered Dynamic Group Assignment, Behavioral Insights, and Personalized Coaching
- Deep Learning-Driven Mobile Application for Rice Crop Disease Detection Using CNN
- Robust Cross-Corpus Speech Emotion Recognition without Emotion Labels in Pretraining
- A Novel Dehazing Approach: Recovery of Color and Polarization Information Using Polarized Characteristics
- Optimizing DSM With Predictive Coherence
- Speech-to-Tree: Cultivating Dependency Structures from Spoken English
- Efficient Solar Power Extraction and Grid Integration in a 100-kW Photovoltaic System Using MPPT and Power Electronics
- A Biosignal Platform for Validating Phonocardiogram-Based Heart Rate Estimation Using Electrocardiogram
- Biomimetically Inspired Design of a Low-Noise Pump-Jet Impeller Based on Hydrodynamic–Acoustic Coupling Analysis
- AMR For Luggage Delivery Robot with Navigation Using Lidar and 3D Camera
- Lightweight 3D IDC-MambaUNet for Multi-Modal MRI Brain Tumor Segmentation Using Multi-Resolution Ensemble
- Multi-Label Object Detection on the COCO Dataset: A Memory-Efficient CNN Approach for Real-Time Applications
- Whether to Use Pretrain Neural Vocoders or Not?: An Empirical Analysis for Indic Speech Synthesis
- Random Forest Model for Mental Disorder Prediction
- Integrating Blockchain and Smart Contracts for Carbon Credit Management in Thailand: A Preliminary Multidisciplinary Analysis
- EnVGG16: Enhanced Deep Learning Model for Music Genre Classification
- Efficient Semantic Search for Detecting Redundant Student Project Proposals
- Marker Guess & Check Plus (MGC+): An Efficient Short Blocklength Code for Random Edit Errors
- Mutli-Metric based GPU Scoring Method in Kubernetes Environments
- Advancing Finite-Length Quantum Error Correction Using Generalized Bicycle Codes
- Detecting AI-Generated Filipino Text: A Synthetic Data Approach with Pre-Trained LLMs
- Mizu: A Lightweight Multi-Threaded Threaded-Code Interpreter that Can Run Almost Anywhere with a C++ Compiler
- Accurate and Efficient Solid Waste Recognition: A Novel Approach Using Google Teachable Machine Based on Convolutional Neural Network (CNN)
- Deep Learning-Based Approach for Public Transportation Estimated Time Arrival Prediction
- Time-varying Target Predictive Entrapment Based on Gene Regulatory Network and Sliding Mode Control
- General Prescriptive System for Smart KPI Management: Application in Container Terminal Operations
- Prognosis of Preowned Automobile Using Stacked Regression Technique
- Implementation of a Deep Learning Approach and Remote Sensing for Classification of Land Use and Land Cover in Bali
- Regression Machine Learning of an Hourly Model of National Electric Power Demand System
- Enhanced Pre-Trained Graph Neural Networks with Applications in Financial Fraud Detection
- Innovative VLSI System Design and Embedded Architectures Empowered by AI and Machine Learning Advancements
- Algae Maturity Detection Using UAV-Based Multispectral Imaging
- Digital Twins in Education Applications, Challenges, and Future Directions
- A game training system for improving initial neurocognition degeneration
- Smart Crime Prediction and Prevention: A Machine Learning-Based Real-Time Alert System
- Intelligent Automatic Number Plate Detection System Using TensorFlow, Firebase & Real-Time Android Integration
- A Comparative Study on the Role of AI Safety Institutes in Shaping Global AI Governance
- Emerging Construction Technologies: Implementation Challenges and Processes in the U.S
- A Resilient Hybrid Audio Watermarking Framework Against Signal Processing Attacks
- Real-time Traffic Monitoring and Helmet Violation Detection Using YOLOv8: A Deep Learning Approach for Automated Enforcement
- Explore the Gamification Design of Intangible Cultural Heritage Scenic Spots
- Educational Material Development with Active Learning for Secondary School Subjects
- A Study on Improving the Generation Quality of Large Language Model in Question-Answering Systems Using Multi-Population Genetic Algorithm
- Ripple Effect of Data Bias in Intelligent Data-Driven Support Systems
- Federated Ensembled Learning for Intrusion Detection Using IoT Network