Abstract: The use of deep learning (DL)-based hyperspectral image (HSI) classification has been made remarkable progress in recent years. However, obtaining sufficient labeled samples for training DL ...

Abstract: Failure or degradation effects lead to power losses in solar panels during their field operation and are identified commonly by electroluminescence (EL) imaging. Some failures like potential ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Overview Explains ten major data labeling roles powering artificial intelligence across industries and applications worldwide ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.

As AI-generated art and writing proliferate, legal systems worldwide confront a deeper question: can machines be recognised ...

This repository contains a Torch implementation for the ResNeXt algorithm for image classification. The code is based on fb.resnet.torch. ResNeXt is a simple, highly modularized network architecture ...

When disaster strikes, swift and accurate damage assessment becomes a matter of life and death. Traditional ground surveys, although reliable, are often hampered by inaccessible roads, ongoing hazards ...

Julie Elie worked out how zebra finches announce who they are, what they are doing and use individual signatures ...

The daredevil couple who climbed the Empire State Building have been released from jail following a Thursday court appearance ...