Papers Using This Method
Graph Neural Networks for Automatic Addition of Optimizing Components in Printed Circuit Board Schematics2025-06-12Subpixel Edge Localization Based on Converted Intensity Summation under Stable Edge Region2025-02-23Defect Detection Network In PCB Circuit Devices Based on GAN Enhanced YOLOv112025-01-12Development of a Compact High-Voltage Functional Electrical Stimulation Device2024-12-16Capacitive Touch Sensor Modeling With a Physics-informed Neural Network and Maxwell's Equations2024-11-23Enhancing Printed Circuit Board Defect Detection through Ensemble Learning2024-09-14AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images2024-09-12YOLO-pdd: A Novel Multi-scale PCB Defect Detection Method Using Deep Representations with Sequential Images2024-07-22A PRISMA Driven Systematic Review of Publicly Available Datasets for Benchmark and Model Developments for Industrial Defect Detection2024-06-11Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation2024-05-09Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment2024-03-14HermEIS: A Parallel Multichannel Approach to Rapid Spectral Characterization of Neural MEAs2024-03-12SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning2024-01-29PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards2024-01-12An Unobtrusive and Lightweight Ear-worn System for Continuous Epileptic Seizure Detection2024-01-01Image Classifier Based Generative Method for Planar Antenna Design2023-12-16Developing a Resource-Constraint EdgeAI model for Surface Defect Detection2023-12-04Active Prompt Learning in Vision Language Models2023-11-18Vertical Power Delivery for Emerging Packaging and Integration Platforms -- Power Conversion and Distribution2023-09-18A Wearable Ultra-Low-Power sEMG-Triggered Ultrasound System for Long-Term Muscle Activity Monitoring2023-09-13