AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to ...

Industrial defect detection is crucial for ensuring product quality and production efficiency, playing a pivotal role in advancing smart manufacturing. This paper reviews defect detection technologies ...

Alsaeedi, M. and Khan, M. (2019) A Study on Machine Learning Algorithms for Software Defect Prediction. International Journal of Advanced Computer Science and Applications, ... of 6.8 person-hours.

The next phase in the machine vision inspection process is to build and train your machine learning model. The most important consideration in this step is the data you feed into the system.

This repository is an updated version of the previous repository: 🔗 LDED-Multisensor-Fusion, which originally supported the RCIM paper.Key improvements include: Essentia-based Acoustic Feature ...

Sub-millisecond keyhole pore detection in laser powder bed fusion using sound and light sensors and machine learning, Materials Futures, 2024, DOI: 10.1088/2752-5724/ad89e2. Journal Materials Futures ...

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery ...