This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...
Biometric technologies, including face and fingerprint recognition, also strengthen identity verification and reduce exposure ...
The study introduces a three-circle convergence framework, AI, smart functionality and sustainability, demonstrating that the ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
From machine learning to voting, the workings of the world demand randomisation, but true sources of randomness are ...
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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
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