Tech Xplore

AI-based model measures atomic defects in materials

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...
Supply Chain Management Review

Predicting failure before it happens: A new playbook for transportation risk

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
IEEE

Automated Neural Architecture Design for Industrial Defect Detection

Abstract: Industrial surface defect detection (SDD) is critical for ensuring product quality and manufacturing reliability. Due to the diverse shapes and sizes of surface defects, SDD faces two main ...
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What happens when you metal detect underwater with crocodiles and a python?

We ventured into dangerous waters for some underwater metal detecting, but what we didn’t expect was to be surrounded by crocodiles and a massive python. This video takes you into the wild, where we ...
GitHub

Machine learning based fraud detection system using Flask, Python, and Scikit-learn with OTP verification and case management.

FraudGuard AI is a machine learning-based web application developed to detect suspicious and fraudulent transactions. The system uses a trained ML model along with rule-based checks to classify ...
IEEE

Digital Twin Enabled Automated Pin Defect Detection System for Aviation Electrical Connectors Using Structure-Aware Point Cloud

Abstract: Aviation electrical connectors are essential components in the aircraft electrical wiring interconnection system (EWIS), responsible for information and energy transmission. Even a minor ...

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