Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...

For insurers, separating earthquake damage from fire damage has historically been a challenge, especially in wildfire-prone ...

Deep learning algorithms are emerging as a formidable solution to these challenges, promising to revolutionize cybersecurity protocols in Industrial IoT environments.

Machine learning researched as battery fire detection technique National Institute of Standards and Technology effort uses machine learning to identify telltale sound of lithium-ion batteries hitting ...

Automatic forest fire detection system: According to data published by Copernicus Atmosphere Monitoring Service in 2023, global wildfires generated 2,171 megatonnes of carbon emissions in 2023.

More information: Shiru Wu et al, Point Defect Detection and Classification in MoS2 Scanning Tunneling Microscopy Images: A Deep Learning Approach, Molecules (2025).

“EOC Tech and its work with early fire detection for EV charging stations and other built environments is a natural collaboration for the FLIR Lepton and Thermal by FLIR program.” ...