pv magazine International

PV module fault detection technique based on convolutional neural network

A group of researchers led by the University of Sharjah in the UAE proposed to use the convolutional neural network (CNN) technique to detect temperature and shading-induced faults in PV modules. CNN ...
pv magazine International

Stacking algorithm for PV module fault diagnosis

Researchers in Norway have created a PV module fault diagnosis technique based on a stacking algorithm. It utilizes augmented digital images of PV modules collected by unmanned aerial vehicles and is ...
TMCnet

MicroCloud Hologram Inc. Develops Quantum-Enhanced Deep Convolutional Neural Network Image 3D Reconstruction Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
FedScoop

CBP still working toward anomaly detection algorithms at the border

Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...
EurekAlert!

Neuroanatomy-informed brain–machine hybrid intelligence for robust acoustic target detection

A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for ...