Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
While sustainability is frequently mentioned in policy discourse and regulatory frameworks, the study finds that it remains weakly embedded in the core of AI and machine learning research in banking.
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AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...
Nikkhil K Masurkar Wednesday, January 14, 2026, 08:00 Hrs [IST] Myopia is a widespread vision issue affecting over two ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
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