Papers by title
A Comparative Evaluation of a Rule-Based ABSA Framework for Aspect-Level Sentiment Extraction from Blue Tourism Reviews
A Comparison of Graph Neural Network Architectures for Image-Based Classification of Corn Leaf Diseases Using Graph-Based Features
A Context-Aware Hybrid Recommender System for Preliminary Medical Diagnosis Using Electronic Medical Records
A Digital Twin-Oriented Web-Based Prototype for Urban Distribution Route Monitoring
A Hybrid Intrusion Detection System Using Fuzzy C-Means Clustering and CNN-LSTM Deep Learning
A Hybrid Machine Learning Framework for Interpretable Wine Quality Assessment with SHAP-based Explainability
A Hybrid Subtractive Clustering-Based Cost Sensitive ANFIS for Imbalanced Healthcare Data Classification
A Lightweight Machine Learning Approach for Fault Detection in Induction Motors via Motor Current Signature Analysis
A Proposed Method to Determine Condition Scores for Prioritizing Traffic Complaint Texts in a Traffic Urgency Model
A Robust and Explainable IoT/IIoT Intrusion Detection Framework Using FGSM Adversarial Training and SHAP-Based Attribution Fingerprinting
A Study of Authentication System Using Photoplethysmography
A Two-Level A*-GA Framework for Risk-Aware Routing in Disaster Relief Distribution
Adaptive Exponential Luminance Mapping for Low-Light Image Enhancement in YCrCb Color Space
Adaptive Hybrid Retrieval Using Query-Aware Fusion and Lightweight Re-Ranking
AI-Driven EEG Motor Imagery Brain-Computer Interfaces for Post-Stroke Rehabilitation: A Scoping Review
AI-Powered Autonomous Agricultural Rover for Cotton Disease Detection and Precision Spraying
Air Quality Classification Using TabNet and Artificial Neural Network with SMOTE and Optuna
An Adaptive Evidence-Based Framework for Industrial Anomaly Detection and Human-in-the-Loop Ground-Truth Construction
An AI-Powered Multilingual Gmail Spam Detection System: Architecture, Implementation, and Benchmark Evaluation
An Event-Driven Decision Support Framework for Proactive Micro-Influencer Recruitment in Higher Education Admissions
Assessing K-12 Teacher Readiness for Integrating AI Literacy, Digital Ethics, and Cybersecurity Education
Attention-Enhanced YOLOv8-Seg for Plastic Waste Detection and Material Classification
AUDY: A Semi-Autonomous LLM-Driven Agent for Localized Automated Infrastructure Penetration Testing
Benchmarking Vision Transformers and Foundation Models for Micro-Pathological Weathering Segmentation on Heritage Woodcarvings
Channel Fidelity and Review Effort in LLM Content Repurposing
Characterization of a Two-Electrode Planar Conductivity Sensor in NaCl and Urea Solutions Using AC Impedance Measurement
Characterizing Convolutional Feature Efficiency Using Evolutionary and Swarm-Based Selection for Skin Lesion Classification
Communication-Oriented Linguistic Feature Engineering for Unsupervised Healthcare Communication Pattern Discovery
Comparative Analysis Of Rest Api And Grpc Performance On Nestjs Framework-Based Micro-Service Architecture
Comparative and Explainable Analysis of Deep Learning Models for Breast Cancer Detection Using Ultrasound Images
Comparative Compatibility Analysis of Syntactic and Semantic Dependency Representations for a Triplet-Oriented RHD Architecture in NLI
Comparative Study of Hybrid Optimization Algorithms for Energy-Efficient WSNs in Forest Topography
Comparing Accuracy and Interpretability of Classification Models for Explainable Automated Essay Scoring in Indonesian
Confidence-Guided Backbone Cascading for Accuracy Efficiency Trade-offs in Peripheral Blood Cell Classification
Continual Learning in Deep Neural Networks: Addressing Catastrophic Forgetting through Modern Approaches
Design and Analysis of Time-Varying Metasurfaces for Frequency Mixing in ISAC Applications
Design and Implementation of a Smart Enterprise Mobility System Integrating Dynamic Gatekeeping, Spatial-Temporal Optimization, and Hybrid Forecasting
Design and Implementation of a Web-Based Carbon Accounting System with OCR-Assisted Data Extraction and Automated Reporting
Design and Implementation of an IoT-Based Monitoring System for a Smart Shading PV Trainer
Design and Performance Optimization of IoT-Enabled Pellet Mill System for Functional Feed Production from Local Resources
Designing a Hybrid Data Architecture: Bridging Relational Storage and Semantic Ontologies via Ontology-Based Data Access
Detecting Generative Artifacts in AI-Generated Human Images Through ELA and Frequency Domain Forensic Analysis
Development of a Communication-Efficient Edge-Cloud Monitoring System for Wildlife Damage Control in Rural and Mountainous Areas
Development of a Multi-Domain Quantitative Mobile Screening Instrument for Early Autism Spectrum Disorder Detection with AI-Assisted Recommendation
Development of a Multi-Target Machine Learning Prediction Model for Commercial Property Investment in South Jakarta
Edge Deployment of a Knowledge-Distilled Spatio-Temporal Graph Neural Network for PM2.5 Forecasting
Evaluating the Transferability of P5 Features from a Person-Trained YOLO11n Backbone for Single-Image Human Activity Recognition on Stanford40
Field-Readiness of Lightweight Crop Disease Models: Explainability Drift Across the Lab-to-Field Gap
From Ambiguous Requirements to Hallucinated Tests: A Multi-Domain Study of the Mirror Effect in LLM-Assisted Software Testing
Fully Distributed Peer-to-Peer Fair Load Distribution Protocol for Heterogeneous Cloud
Game Theory and MCDM Integration Patterns for Digital Platform Decision Support: A Systematic Literature Review
High-Efficiency Automated Performance Evaluation of SCADA Remote Control for Large-Scale Grids via Heuristic Log Parsing
Horizon-Specific Query Cross-Attention for Multi-Horizon Electricity Load Forecasting Using a Hybrid LSTM-Transformer Encoder
HybridCellNet: Merging Classical Vision Features and Deep Learning for Interpretable Blood Cell Analysis
Improving Minority-Class Detection in Loan Application Prediction through Adaptive Cost Weighting in XGBoost
IoT-AI Based Secure Fuel Monitoring System for Heavy Equipment: A Layered Security and Anomaly Detection Approach
KE-GNN: Integrating Kolmogorov-Arnold Networks and Ontological Reasoning for Person-Job Matching
Lightweight Vision-Based Medical and Non-Medical Waste Classification Using MobileNetV2 for Embedded Waste Segregation
Local Vision-Language Model-Based Tabular Information Extraction With YOLO-OBB Visual Prompting
Measuring Digital Skills for Digital Public Services in Indonesia: Evidence from the Riau Region
Modified Vanilla GAN and SRGAN Architectures for Facial Image Super-Resolution
MyPlateDetector: A Modular YOLOv8 Pipeline for Vehicle-to-Owner License Plate Lookup
New Energy Management Srategy in Microgrid by Optimizing Battery Control
Nonlinear Pre-Fuzzy Feature Fusion and Edge-IoT Coprocessor for Adaptive Traffic Signal Control at Motorcycle-Dense Intersections
Optimizing Real-Time Object Detection for Traffic Cameras Using Knowledge Distillation (Smart Traffic System - ETLE)
Optimizing XGBoost for Serious Adverse Drug Event Prediction on High-Cardinality FAERS Data Using CatBoost Encoder and Optuna
Parameter-Efficient and Explainable Multi-Label Detection of Depression and Anxiety using ANGST Dataset
Performance Analysis of Secret Key Generation for Secure Outdoor Portable-to-Infrastructure Communication
Policy-Aware Circular Management: A Governance Framework for Digital Communication in Higher Education
Prediction Horizon Selection for Onboard Nonlinear Model Predictive Control on a Resource-Constrained Mobile Robot: An Experimental Study
Radio Propagation Modeling-Guided Temporal Convolutional Transformer for CSI-Based Human Activity Recognition
Random Forest-Based Classification of Post-Market Mustard Greens Quality Using Early-Fused Visual Color and Volatile Gas Features
ResNetDCE-Med: A Quantitative Analysis of Iterative Deep Curve Enhancement for Explainable Skin Lesion Classification on HAM10000
Robust Detection of Multi-Wheeled LEV in Traffic Situations
Sales Forecasting for Estimating Inventory Requirements at BP Mart Using the XGBoost Algorithm
Secure and Trustworthy Transformer-Based Multi-Modal Fusion for Adversarially Robust Autonomous Surveillance Systems
Sentiment Analysis of E-Government Tax Services in Indonesia Using IndoBERT and Optuna-Based Hyperparameter Optimization on Multi-Platform Social Media Data
SIGAP: SHAP-Interpreted Gradient-boosting for Anticipating Precipitation
Smart-Step: The Bio-Psychological Impact of IoT-Enabled Piezoelectric Energy Harvesting on Cardiorespiratory Health and Cognitive Resilience
SmartEntry: OCR and AI-Assisted Invoice Data Extraction for Cost Control, with an Independent Benchmark Evaluation
Soft Voting Approach For Multiclass Network Intrusion Detection Using Gated Recurrent Unit, Random Forest, And K-Nearest Neighbor
SPECTRE-ICS: A Predictive Zero-Trust Defense Framework for AI-Augmented Threats in Industrial Control Systems
Speed Control of a Coconut Grating Machine with an Interval Fuzzy Logic Type-2
Split-Aware Attention on Lightweight FasterNet for Cross-Dataset Leaf and Fruit Disease Classification
Taamim: A Secure, Bilingual Digital Circular Management Platform for Higher Education Governance
Techno-economic analysis of rooftop solar photovoltaic integration for smart commercial buildings using Levelized Cost of Energy approach
Training-Free Refinement of Prior-Query Selection in Multi-Modal 3D Panoptic Segmentation: An Empirical Study on IAL
TS-HIL: Homomorphic State Tracking and Traffic Shaping for Privacy-Preserving Healthcare IoT Streams
Use of New Scan Patterns in Capacitive Touchpads on Pocket-worn Smartphones to detect Coughs
Workstation-Level Digital Workload Detection Using Configurable Virtual Workstations in Labor-Intensive Job Shops
