Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Abstract: Deep learning-based techniques have emerged as powerful tools for fault diagnosis. However, conventional deep learning methods require designing and training fault diagnosis models from ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability ...

Abstract: We present a supervised learning-based method to estimate a per-pixel confidence for optical flow vectors. Regions of low texture and pixels close to occlusion boundaries are known to be ...

AI has unlocked a century of solar history from hand-drawn observations at Kodaikanal Solar Observatory. Researchers used ...

India, July 1 -- Artificial Intelligence has been used to trace the shift in magnetically active patches on the Sun from 1916 to 2007 by scanning 100 years of hand-drawn Sun records from the ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

As humans, our eyes take in two-dimensional images our brains convert to three-dimensional experiences. This ability enables us to ...

Hundred years of Kodaikanal Solar Observatory records will throw light on the change in solar activity over time ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...