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The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...
Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...
A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...
The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...
Make America Grainy Again: a new AI tool can strip film grain from old footage, compress the video at a fraction of the size, ...
Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.
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Week99er on MSNAI-Driven Solutions by Darshak Sanghavi Transform Quality and Enhance User SatisfactionAs technology rapidly evolves, artificial intelligence (AI) is revolutionizing the way software quality is managed and user ...
Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...
16h
Tech Xplore on MSNMachine learning model predicts heat-resistant steel durability while preserving data confidentialityNIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...
20h
Tech Xplore on MSNBilinear sequence regression model shows why AI excels at learning from word sequencesResearchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...
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