#HighlyViewedPaper
📖 Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11
✍ By Zeyu Yu et al.
👉 mdpi.com/2304-6732/12/4/368
#Photonics #Optics #PolarizationImaging #DefectDetection #YOLOv11 #DeepLearning
📖 Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11
✍ By Zeyu Yu et al.
👉 mdpi.com/2304-6732/12/4/368
#Photonics #Optics #PolarizationImaging #DefectDetection #YOLOv11 #DeepLearning
November 5, 2026 at 10:24 AM
#HighlyViewedPaper
📖 Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11
✍ By Zeyu Yu et al.
👉 mdpi.com/2304-6732/12/4/368
#Photonics #Optics #PolarizationImaging #DefectDetection #YOLOv11 #DeepLearning
📖 Defect Detection Method for Large-Curvature and Highly Reflective Surfaces Based on Polarization Imaging and Improved YOLOv11
✍ By Zeyu Yu et al.
👉 mdpi.com/2304-6732/12/4/368
#Photonics #Optics #PolarizationImaging #DefectDetection #YOLOv11 #DeepLearning
#HighlyViewedPaper
📖 Enhanced Defect Detection in Additive Manufacturing via Virtual Polarization Filtering and Deep Learning Optimization
✍ By Xu Su et al.
👉 mdpi.com/2304-6732/12/6/599
#Photonics #Optics #PolarimetricImaging #DefectDetection #AdditiveManufacturing
📖 Enhanced Defect Detection in Additive Manufacturing via Virtual Polarization Filtering and Deep Learning Optimization
✍ By Xu Su et al.
👉 mdpi.com/2304-6732/12/6/599
#Photonics #Optics #PolarimetricImaging #DefectDetection #AdditiveManufacturing
October 21, 2026 at 4:03 PM
#HighlyViewedPaper
📖 Enhanced Defect Detection in Additive Manufacturing via Virtual Polarization Filtering and Deep Learning Optimization
✍ By Xu Su et al.
👉 mdpi.com/2304-6732/12/6/599
#Photonics #Optics #PolarimetricImaging #DefectDetection #AdditiveManufacturing
📖 Enhanced Defect Detection in Additive Manufacturing via Virtual Polarization Filtering and Deep Learning Optimization
✍ By Xu Su et al.
👉 mdpi.com/2304-6732/12/6/599
#Photonics #Optics #PolarimetricImaging #DefectDetection #AdditiveManufacturing
Niobia, a TechCrunch Disrupt 2026 Battlefield finalist, is turning AI agents into on‑line defect doctors for battery and chip factories. Curious how chat‑powered diagnosis can slash production waste? Dive in! #AIagents #defectDetection #Niobia
🔗 aidailypost.com/news/niobia-...
🔗 aidailypost.com/news/niobia-...
October 13, 2026 at 7:48 PM
Niobia, a TechCrunch Disrupt 2026 Battlefield finalist, is turning AI agents into on‑line defect doctors for battery and chip factories. Curious how chat‑powered diagnosis can slash production waste? Dive in! #AIagents #defectDetection #Niobia
🔗 aidailypost.com/news/niobia-...
🔗 aidailypost.com/news/niobia-...
Finding flaws inside dark tubes used to be slow, but lightweight networks excel!
Read the full article on IEEE Sensors Alert.
ieee-sensorsalert.org/articles/a-l...
#ieeesensorsalert #ieeesensors #steelpipeinspection #defectdetection #industrialinspection #computervision #deeplearning
Read the full article on IEEE Sensors Alert.
ieee-sensorsalert.org/articles/a-l...
#ieeesensorsalert #ieeesensors #steelpipeinspection #defectdetection #industrialinspection #computervision #deeplearning
October 7, 2026 at 12:40 PM
Finding flaws inside dark tubes used to be slow, but lightweight networks excel!
Read the full article on IEEE Sensors Alert.
ieee-sensorsalert.org/articles/a-l...
#ieeesensorsalert #ieeesensors #steelpipeinspection #defectdetection #industrialinspection #computervision #deeplearning
Read the full article on IEEE Sensors Alert.
ieee-sensorsalert.org/articles/a-l...
#ieeesensorsalert #ieeesensors #steelpipeinspection #defectdetection #industrialinspection #computervision #deeplearning
Researchers discuss using machine learning for feature identification to extract parameters and detect nm-scale defects in advanced semiconductor process control, addressing EUV stochastic defects and 3D metrology…
#Semiconductors #MachineLearning #DefectDetection
https://arxiv.org/abs/2610.05812
#Semiconductors #MachineLearning #DefectDetection
https://arxiv.org/abs/2610.05812
October 6, 2026 at 8:01 PM
Researchers discuss using machine learning for feature identification to extract parameters and detect nm-scale defects in advanced semiconductor process control, addressing EUV stochastic defects and 3D metrology…
#Semiconductors #MachineLearning #DefectDetection
https://arxiv.org/abs/2610.05812
#Semiconductors #MachineLearning #DefectDetection
https://arxiv.org/abs/2610.05812
Machine learning is being applied to feature identification for parameter extraction and defect detection at the nm scale in advanced semiconductor nodes. The approach addresses 3D structure…
#Semiconductors #MachineLearning #DefectDetection #Metrology
https://arxiv.org/abs/2610.05812
#Semiconductors #MachineLearning #DefectDetection #Metrology
https://arxiv.org/abs/2610.05812
October 6, 2026 at 6:01 PM
Machine learning is being applied to feature identification for parameter extraction and defect detection at the nm scale in advanced semiconductor nodes. The approach addresses 3D structure…
#Semiconductors #MachineLearning #DefectDetection #Metrology
https://arxiv.org/abs/2610.05812
#Semiconductors #MachineLearning #DefectDetection #Metrology
https://arxiv.org/abs/2610.05812