Latest Research in Advanced Neural Network Applications
16 research papers · 2026 median publication year
Top Research Topics in Advanced Neural Network Applications
- Industrial Vision Systems and Defect Detection — 6 papers
- Advanced Neural Network Applications — 2 papers
- Ultrasonics and Acoustic Wave Propagation — 2 papers
- Computer Vision and Pattern Recognition — 2 papers
- Advanced Sensor and Energy Harvesting Materials — 1 papers
- Injection Molding Process and Properties — 1 papers
- Welding Techniques and Residual Stresses — 1 papers
- Anomaly Detection Techniques and Applications — 1 papers
Highest-Cited Papers
- YOLOv13-ADR: An Adaptive Deformable Convolution and Neighborhood-Aware Recombination Network for Wind Turbine Blade Defect Detection
- Rendering Synthetic Defects for Learning‐Based Industrial Inspection
- Classical Computer Vision for Automated Quality Inspection: A Reproducible Study Integrating SPC and Process Capability
- Classical Computer Vision for Automated Quality Inspection: A Reproducible Study Integrating SPC and Process Capability
- Pseudo defect guided meta calibration for few shot industrial defect segmentation
- Intelligent defect detection in composite materials: the role of deep learning and machine learning fusion
- A Defect Detection Method for Functional Membranes in Flexible Sensors for Vibration Monitoring During Glass Substrate Transfer
- Evaluation of different defect-inspection setups for injection molding parts based on the deep learning method
- LDU-Bench: Multimodal LLM Evaluation for Lithography Defect Understanding under Layout-Varying Circuit Backgrounds
- RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations
- TIG welding defect detection using ResNet and Random Forest
- TAD-YOLO11n: A Lightweight Network with Multiscale Feature Enhancement for Steel Surface Defect Inspection
- An adaptive perception-based identification method for disturbed EMAT defect echoes
- High-Fidelity Reconstruction and Metrology Model for Defects Based on Physical Priors and Adaptive Morphology
- Vision-Based Reconstruction of Electrical Schematics from Printed Circuit Board Photographs
- Enhancing PatchCore with Dynamic Scaling and Vision–Language Models for Explainable Industrial Defect Inspection