Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...
Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
The All India Council for Technical Education (AICTE)'s ongoing push to integrate AI across all disciplines emphasizes ...
As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...
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