Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...
Cambridge AI startup Theia Insights has raised $8M to scale its dynamic company classification platform for financial markets ...
Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...
Bura, A.H. and Mung’onya, E.M. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...
USPTO said Thursday that Class ACT is designed to assign international classes, design search codes and pseudo marks to ...
Background Approximately 70% of deaths in Tanzania occur outside health facilities and are often unreported or lack cause of ...
Abstract: Artificial neural networks (ANNs) have been widely applied in complex domains such as medical data classification, where uncertainty and nonlinearity pose significant challenges. However, ...
Abstract: In this paper, a deep-learning algorithm based on convolutional neural-network is implemented using python and tflearn for image classification. A large number of different images which ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Northeast Ohio hospitals are increasingly using artificial intelligence to improve patient care. AI is used for various tasks, from reading radiology scans to identifying high-risk patients. Hospitals ...
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