Read more about New deep learning model achieves high accuracy in detecting weeds in rice fields on Devdiscourse ...
Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.
Spatial transcriptomics techniques, which map gene activity in intact tissues, often face challenges in accurately identifying distinct tissue regions. Now, researchers from Japan have developed STAIG ...
Deep learning AI models are able to identify important characteristics ... words and phrases and create a representation of ...
Despite all the deep-sea expeditions and samples taken from the seabed over the past 100 years, humans still know very little ...
However, with IIM Ahmedabad’s Blended Post Graduate Programme in Management (MBA-BPGP), career-focused professionals and entrepreneurs can seamlessly advance their learning goals without ...
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News-Medical.Net on MSNNew deep-learning framework improves spatial transcriptomics analysisBiological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...
There’s no sugar coating to the film, nor a succinct lesson at the end. But it’s important medicine at a time when public ...
Where to start? Failure analysis is a systematic process that uses electrical characterization, physical analysis, and ...
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This study develops deep learning based approaches to map agricultural regions at the county level using multi-temporal Sentinel-1 Synthetic Aperture Radar (SAR) data, specifically evaluating the ...
The network consists of a lightweight deep learning feature extraction (LDE ... aimed at extracting deep features from the time-Doppler (TD) maps. Parameter estimation module is employed to capture ...
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