- On the feasibility of hybrid communication for L4 driving in rural areas in Germany
- Change detection in snow water equivalent using a Siamese UNet model
- Automated Detection of Offensive Text in Social Media Images
- Performance Comparison of Advanced Control Strategies Based on Optimization for Active Suspension Under Real Vertical Speed Reducers Excitation
- CAFM-Unet: Research on Image Semantic Segmentation Based on Transformer
- R M 2 Occ: Re-Projection Multi-Task Multi-Sensor Fusion for Autonomous Driving 3D Object Detection and Occupancy Perception
- Predictive Resource Allocation for Mobility-Aware Task Offloading and Migration in Edge Environments
- Minimum Link Distance of Terrestrial Testbeds Required to Simulate the Satellite-to-Ground FSO Communication Links
- Comparison of Deep Learning Methods in Predicting Diabetes Mellitus based on an On-Line Dataset
- Digital Platforms for Preserving Silek Minangkabau Oral Traditions in the Era of Second Orality
- Data-Driven Evaluation of Female Entrepreneurial Success Factors in Jakarta Urban Economy
- A Novel Swarm Intelligence-Enabled Clustering Method for High-Mobility Internet of Vehicles
- Online Multi-Label Streaming Feature Selection Based on Agglomeration Degree and Local-Global Correlation
- Bio-Inspired Looming Object Detection Using Event-Based Cameras
- Microcontroller-based Short-Circuit Protection for DC Bus Networks
- A Novel CNN-based Diabetic Retinopathy Disease Predictor for Medical Sectors
- Smart Recycling by Harnessing Machine Learning Techniques
- A Model Predictive Control Framework to Enhance Safety and Quality in Mobile Additive Manufacturing Systems
- Robust Covertness With Coordinated NOMA Strategy
- Predicting Glaucoma Visual Field Progression from Fundus Images with a Weighted Ensemble Method
- Multi-Class Focus Level Classification for Robotic Microscope Using Image Metrics and Machine Learning
- Modeling and Solving Methods for Eco-Driving of Freight Trains With Traction Chains Temperature Models
- Impact of E-Service and Secure E-Payment System Design on User Engagement in Digital Transportation Platforms
- Research on Adaptive Control Strategies Based on VSG under Unbalanced Grid Voltage Conditions
- Model Predictive Torque Control of a Novel Multilevel Power Converter for Four-Phase SRMs
- Music Analysis and Predictive Recommendation System Model
- Impact of AI Experience on Employee Well-Being and Work Engagement in Indonesian Organizations
- Dual Discrete-Frequency Reconfigurable IPT System With High Misalignment Tolerance for Stable Power Transfer Over Extended Coupling Variation
- Local Data-Driven Fault Localization Method for Ring-Type DC Microgrid with Fewer Sensors
- Smart Agriculture: Deep Learning-Based Crop Disease Classification, Prediction, and Treatment Recommendation
- Optimizing IoT DDoS Detection with Hybrid Feature Selection and Ensemble Learning
- Exact Air Gap Magnetic Field Calculation of a Short Primary Single-sided Linear Induction Motor Considering Coupling Effects of Slot Harmonics and Longitudinal Dynamic End Effect
- Intelligent Test Case Prioritization: A Review of Machine Learning-based Approaches
- Design Investigation and Fabrication of Fractal Köch Antenna for Digital Television Applications
- AI-Driven Optimization of Solar Panel Efficiency Considering Environmental Factors
- It’s Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-Objective Optimization
- Ant Colony Optimization Techniques for Satellite Communication Signal Processing
- PaGDeSA: An Automated Generative Design of Multimodal Soft Pneumatic Actuators
- A Novel Technique for Protecting Inverter From EMI and EMC Using PCB Based Spark Gaps
- Next-Generation Tactile Sensing and Machine Learning Integration for Robot-Assisted Minimally Invasive Surgery
- Design of ID-Based Public Key Isocryptosystem using DIDLP for Communication
- Wide-Angle Scanning Digitally Reconfigurable Intelligent Array with Element Factor and Array Factor Co-Manipulation
- Optimizing Liver Disease Detection with AI: A Comparative Study of Machine Learning and Deep Learning Models
- Machine Learning and Deep Learning for Soil and Plant Nutrient Management in Agriculture
- Optimized CNN Architecture for Early Detection of Mild Cognitive Impairment
- AI Chatbots Driving Fintech User Satisfaction via Trust and Service Quality
- Incremental Learning Methods for Metaverse Intelligent Models with Distributed Data Awareness
- Empathetic AI for Mental Health: A Comparative Study of Retrieval-Augmented Language Models in CBT Applications
- Advanced PPE Compliance with AI Driven Insights
- Quantifying Influencer Performance through a Data Mining Analysis of Engagement and Sentiment
- Potential Threat to Cognitive Radio Networks: A Black-Box and Label-Consistent Backdoor Attack Against Modulation Recognition
- Semantic Segmentation of Glacier Calving Fronts Through Deep Learning and SAR Imagery
- Decoupling and Matching Network for 8 × 8 Near-field MIMO using Dipole Antenna
- An Intelligent System for Personalized Music Assistance and Predictive Recommendations on Spotify
- OnBoard: A Real-Time Bus Tracking Mobile Application for University Campus
- Designing Blockchain-Based Frameworks for Enhancing Data Security and Integrity in Decentralized Computing Networks
- Deploying Multilingual ASR in Digital Twin Systems: A Performance and Efficiency Analysis of Whisper and SeamlessM4T
- Charging and Discharging Characteristics of a No-Insulation HTS Field Coil Wound for a Superconducting AC Homopolar Motor
- Weak Grid Characteristic Analysis and Operating Mode Selection for Voltage Support Enhancement of Wind Farms Connected to MMC-HVDC During Asymmetric Faults
- A Superstrate-Loaded Conformal Array Antenna with Subarray-Augmented Imaging Algorithm for Microwave Brain Hemorrhage Diagnostic Systems
- Identification Method for Risk of Electric Water Flushing in Non-Dense Areas of Ice-Covered Insulators
- Interpretable Ensemble Model for Real-Time Water Quality Analysis Using Iot and AI Strategies
- Quantum-AI Hybrid Algorithms for Solving Large-Scale Engineering Problems Using LLM-Driven Optimizations
- Submillimeter-level Extremely High Precision Planning and Operation: An Example of Robotic Cochlear Implant Microsurgery
- Adaptive Motion Planning with EfficientNet and A-Algorithm for Enhanced Robotics Automation in Industrial Applications
- Seizures Prediction with Slower Alpha Rhythm and Faster Gamma Rhythm using CNN-XGBoost Fusion Algorithm
- Road Damage Detector Based on Vibration and Trajectory Using CNN-LSTM Algorithm
- Smart QR-Based University Parking Management System with Enhanced Security and Real-Time Navigation
- Multi-Aspects based Decision-Making Model for Tourism Stakeholders using Autoencoder and Mutual Information
- Identification of Various Skin Tumor Forms with a Novel Microstrip Antenna Sensor
- Enhancing Synchronization and Error-Correction Performances Under Low C/N Condition Based on ISDB-S3 for 12-GHz-band Satellite Broadcasting
- Revolutionizing Ophthalmic Diagnostics: A Deep Learning Approach to Corneal Endothelium with VGG-16
- Predicting Energy Demand: Exploring Temporal and Spatial Variations
- A Hybrid Approach to Image Fusion Using Wavelet Transform and Weighted Arithmetic Optimization
- An AI-based Skin Cancer Detection Using Raspberry Pi
- Analysis of IPv6 Distribution and AS-Link Topology MultiGraphs in Asia
- Hand Gesture Controlled System: Enhancing User Interaction Through Intuitive Gestures
- Multivalued Logic Circuit Based on a Bilayer Graphene Resonant Tunneling Transistor
- Colorectal cancer survival analysis using deep learning based multi-omics data integration
- Offshore Wind Farm Layout and Cable Coplanning Optimization Considering Marine Meteorological Factors and Seabed Topography Characteristics
- Updating Machine Learning Models in Real-World Applications: Finding Best Deployment Settings
- Estimating the Parameters of Superposed Oscillations of Mobile Construction Machines like Diaphragm Wall Hydraulic Grabs
- Impact of Organizational Commitment on Workforce Readiness for STARA Awareness in Indonesia
- Weather Predictions using Machine Learning Techniques
- Fusion-based CNN-SVM Hybrid Model for Efficient Meningitis Identification using CSF Dataset
- The Role of Auditory eHMI: How Does It Influence Communication between Highly Automated Vehicles and Pedestrians?
- AI-Driven Return Rate Prediction in Online Retail using Behavioral and Transactional Data
- Integrating Driving-Aware World Model With MPC for Autonomous Driving at Unsignalized T-Intersections
- A Hybrid Approach To Enhance The Image Security
- Reciprocal-Type Zeroing Neural Dynamics Model for Tackling Time-Dependent Lyapunov Matrix Equation Problems and Applications
- gSENSE: A PPG-based Automated Framework for Continuous Blood Glucose Level Monitoring Using Deep Learning Approach
- Blockchain’s Impact on Supply Chain Integration, Resilience, and Performance
- A Study on Improving Vision Transformer Classification via CNN-Based Object Extraction Preprocessing
- A Nonlinear Situation-Driven APF-Coupled UAV Swarm Confrontation Strategy
- DreamArrangement: Learning Language-Conditioned Robotic Rearrangement of Objects via Denoising Diffusion and VLM Planner
- Leaf Disease Classification and Crop Damage Estimation using Advanced Deep Learning Models
- Numerical Study of the Effect of Coolant Type on Photovoltaic Temperature Distribution
- Haze Removal based on Frequency Features Decomposition
- A Digital Twin Trinity for Adaptive Evaluation of Machining Process
- Effects of Novel Segmentation Framework ConvUNext Network along with Spatial Attention Module on Small Brain Tumor Dataset