A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

Selecting the right sensors and imaging components improves AI models for better decision-making in machine vision systems.

Engineered tin dioxide nanosensors combined with deep learning enable precise gas classification, improving detection in ...

Fault Detection Model Development using AI Faults using sensor data can be detected by artificial ... fault tree tables (FTTs), frequency analyzer, machine learning algorithms such as Support Vector ...

By using large bio-signal datasets, machine-learning algorithms are able to find clear relationships that apply to most people. To do this, we take a bio-signal and artificially create gaps of a ...

Image processing can be done in two ways: Physical photographs, printouts, and other hard copies of images being processed using ... numerous algorithms and utilities to support the algorithms. The ...

Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

In a major leap toward more comfortable and reliable health monitoring, scientists from Sun Yat-sen University have developed ...