Nanoparticles and artificial intelligence can help researchers detect pollutants in water, soil and blood

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.
GitHub

Deep-Learning-Approach-for-Surface-Defect-Detection

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection" The author submitted the paper to Journal of Intelligent ...
IEEE

Open-IndDet: Advancing Open-Set Industrial Surface Defect Detection via Robust Class-Unique Feature Representation

Abstract: Industrial defect detection is crucial in the field of industrial production. Recently, industrial defect detection methods based deep learning have been proven to effectively address most ...
Scientific Research Publishing

Cheng, J.C.P. and Wang, M. (2018) Automated Detection of Sewer Pipe Defects in Closed-Circuit Television Images Using Deep Learning Techniques. Automation in Construction, 95 ...

ABSTRACT: Regular pipeline inspections are crucial for timely identification of critical defects and ensuring pipeline integrity. To address the challenges of detecting defects in PE gas pipelines ...
Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...