- HARMONIC: Uncertainty-Aware Multi-Objective Optimization for Energy-Efficient HPC Resource Management
- LLM Assisted Attribute Generation for Image Datasets – A ChatGPT Case Study.
- Classification of Induction Motor Rotor Faults Using Graph Convolutional Neural Networks and Non-Intrusive Condition Monitoring Signals
- Comparative Analysis of Machine Learning Techniques for Diabetic Retinopathy Detection: A Case Study on Messidor Dataset
- On the Effectiveness of the ChatGPT Model with Fine-tuning in Question-Answer Systems on Slack
- Real Time Pose Detection Using Computer Vision
- Machine Learning Framework Integrating Features Selection and Gauss-Markov Linearity Assumptions for Identifying Appropriate Energy Theft Detection Modelling
- Generative AI Digital Twin of Rats: Predicting Drug Efficacy Using Non-invasive Vital Signs and Skeleton Analysis
- Integrating IoT and Machine Learning for Productivity Improvement in CNC Machine Shop
- Creation of Data Value in Data Warehouse Environment Using ETL Process
- Realtime Rendering: Simulating the Ocean with Shaders
- A Web-Based Experimental Biochemistry Virtual Laboratory for Science and Engineering Education
- LTMUUV: A Low-Cost Unmanned Underwater Vehicle for Underwater Terrain and Magnetic Field Mapping
- Evaluation of the Applicability of Frequency Response Analysis to Rotating Electric Machines
- Visualizing and Securing Linguistic Patterns: POS Tag Graphs with Encryption Techniques
- Deep Learning Based Automatic Essay Scoring Using Convolutional Neural Network with Alexnet (CNN-A)
- Energy-Aware Model Training: A Power-Efficient Iterative Learning Approach
- BeachBuddy - An Intelligent Mobile Robot for Beach Cleaning: Design, Fabrication, and AI-Powered Waste Recognition
- Revolutionizing Healthcare: IoT-Enabled Continuous Health Monitoring Devices for the Future
- Epistemic Network Analysis: Artificial Intelligence Systems, Linguistic Tools, and Pedagogical Practices Pathways
- A Real-Time Multi-Object Tracker Based on Hybrid Integration of ByteTrack and DeepSORT Using YOLOv8
- Road Hazards Monitoring and Reporting System Implementing YOLOv8 Algorithm
- Interpretable News Clustering and Topic Attribution for the U.S. Presidential Election: An AIME and LLM Approach
- A Deep Learning Approach for Dealing with Tabular Data in Crop Yield Prediction
- Intelligent lighting system for energy management in residential building
- Procedural Generation of Guard Paths in Stealth Games Using Level Geometry
- Electrospinning of Nanofibers Effect of Gelatin by Polycaprolactone and Carboxymethyl Cellulose Degradation Characteristics
- Custom CNN Based Missing Tooth Identification in Panoramic Dental Images
- A Conformal Predictive Measure for Assessing Catastrophic Forgetting
- FDB-Based Chimp Optimization Algorithm for Parameter Extraction of MonoCrystalline PERC Solar Photovoltaic Modules
- Cost-Effective Immersion: Motivation-Driven Perceptual Design for Open-World Games
- Memory Montage : Amnesia Support Appa
- Research on Color Application in User Interface Design of Mobile Educational Games for Children
- Efficient Solar Power Extraction and Grid Integration in a 100-kW Photovoltaic System Using MPPT and Power Electronics
- Deep Learning-Based Approach for Public Transportation Estimated Time Arrival Prediction
- Integrating Blockchain and Smart Contracts for Carbon Credit Management in Thailand: A Preliminary Multidisciplinary Analysis
- Action-List Reinforcement Learning Decoders
- General Prescriptive System for Smart KPI Management: Application in Container Terminal Operations
- Designing Interactive Distractor Scenarios in Redirected Walking: Towards a Conceptual Framework
- Precision Ranking: Harnessing NLP and Normalization for Enhanced Rating and Review Analysis
- Lightweight 3D IDC-MambaUNet for Multi-Modal MRI Brain Tumor Segmentation Using Multi-Resolution Ensemble
- Accurate and Efficient Solid Waste Recognition: A Novel Approach Using Google Teachable Machine Based on Convolutional Neural Network (CNN)
- Transforming SME Finance Through Artificial Intelligence: A Predictive Analytics Approach
- A Study on The Performances of Sui Move Object-Centric Models
- AI and Automation in Organ-on-a-chip Technology: Advancing Personalized Medicine and Disease Modeling
- Leveraging Machine Learning Models for Climate Data Interpretation and Forecasting
- Smart Crime Prediction and Prevention: A Machine Learning-Based Real-Time Alert System
- Implementation of a Deep Learning Approach and Remote Sensing for Classification of Land Use and Land Cover in Bali
- Numerical Modelling of Voltage-Current Characteristics of Varistor Surge Arresters
- Employing Neural Networks for Heart Disease Prediction: A Deep Dive Into Machine Learning
- Digital Twins in Education Applications, Challenges, and Future Directions
- Robust Cross-Corpus Speech Emotion Recognition without Emotion Labels in Pretraining
- Automated Food Nutrition Retrieval for Healthcare and Medical Applications using Image-Based Weight Prediction Models
- Emerging Construction Technologies: Implementation Challenges and Processes in the U.S
- Comparative Analysis of RF, Naive Bayes and GRU Algorithms for Network Traffic Prediction in VANET
- Automorphism Ensemble Decoding of Polar Codes with Reduced Number of Routes
- Advancing Finite-Length Quantum Error Correction Using Generalized Bicycle Codes
- AMR For Luggage Delivery Robot with Navigation Using Lidar and 3D Camera
- Robust Speech Recognition for Visual Acuity Testing in Multi-Speaker Clinical Environments
- Efficient Prediction of Cardiovascular Disease Using Machine Learning
- Integrating Artificial Intelligence in Human Resource Management with reference to Autonomous Engineering Institutions: A Review
- AI-Driven Models for Predictive Cost Optimization in Multi-Tenant Cloud Environments
- Optimization of Hidden Size Parameters in Temporal Fusion Transformer for Accurate Land Subsidence Prediction
- Driving Change or Doubt? A Sentiment Analysis of Malaysian Reactions to Electric Vehicles
- Using Generative AI to Develop Product Forms for Interactive Virtual Reality Educational Tools
- Multi-Label Object Detection on the COCO Dataset: A Memory-Efficient CNN Approach for Real-Time Applications
- Hybrid SMOTE-Evolutionary Algorithm-AdaBoost for Lithology Prediction Using K-Nearest Neighbor
- Federated Ensembled Learning for Intrusion Detection Using IoT Network
- Securing IoT Enabled Health Monitoring Systems Using Machine Learning Approaches for Cyber Attack Detection and Prevention
- A Novel Dehazing Approach: Recovery of Color and Polarization Information Using Polarized Characteristics
- Physics Informed Neural Network for Continuous and Cuffless Arterial Blood Pressure
- Modeling of Dengue-Related Dataset using Artificial Intelligence and Natural Language Processing
- Research on Investment Boundary and Cost Dispersal Mechanism of Power Grid Enterprises Under Low-Carbon Transformation of Power
- Open Circuit and Short Circuit Fault Diagnosis Method for 5-Level Hybrid T-Type ANPC-FC Inverter Using Artificial Neural Networks
- Explore the Gamification Design of Intangible Cultural Heritage Scenic Spots
- Bridging Language Gaps: an Offline Mobile Translation App for Filipino Dialects
- Deep Learning-Driven Mobile Application for Rice Crop Disease Detection Using CNN
- Accurate 3D Depth Mapping for Robotic Vision Using Fused CNN and Edge-Preserving Cost Aggregation in Stereo Matching
- Implementation of 2D Lidar Sensors Using Maximus Tracking Clustering Algorithm and Natural Landmark Using AGV Rover Robot
- Educational Material Development with Active Learning for Secondary School Subjects
- A Resilient Hybrid Audio Watermarking Framework Against Signal Processing Attacks
- Leveraging Knowledge Graphs for Analysing Human Vulnerabilities in Phishing Attacks
- Regression Machine Learning of an Hourly Model of National Electric Power Demand System
- Optimal Design of the Outer-Rotor BLDC Motor for Electric Bike
- A study of the development framework followed to integrate the Shopify SDK in an iOS app, built using SwiftUI
- Exploration of the Application of Multimodal Learning Theory in Educational Games for School-Aged Children on Intangible Cultural Heritage
- Enhanced Pre-Trained Graph Neural Networks with Applications in Financial Fraud Detection
- Attention-Driven Separable Convolutional Networks for Efficient and Explainable Forest Fire Detection: ForestFlameNet
- Detecting AI-Generated Filipino Text: A Synthetic Data Approach with Pre-Trained LLMs
- Quantifying Traffic Sign Damage Severity with a Modified Triplet Loss Network
- Conversational Agents in the Era of Large Language Models [Perspectives]
- A Non-Intrusive and Cost-Effective IoT-Based System for Smart Monitoring of Power Consumption
- A Study on the Effect of Coaching Leadership and Psychological Empowerment on Job Performance
- Intelligent Automatic Number Plate Detection System Using TensorFlow, Firebase & Real-Time Android Integration
- Time-varying Target Predictive Entrapment Based on Gene Regulatory Network and Sliding Mode Control
- Predicting Box Office Revenue Using Machine Learning
- Research on electromagnetic and mechanical characteristics of high temperature superconducting coil for solar thermal heliostat power generation
- When Prosody Fails to Guide Parsing: The Processing of Ambiguous Sentences by Chinese EFL Learners
- Stealthy No More: An Effective Ensemble Learning Approach for Detecting Android RATs
- Vision-Based Real-Time Measurement System for Predrilled-Hole Inspection on Wooden Planks