Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...
AZoLifeSciences on MSN
Machine learning models identify early metabolic shifts
Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...
Overactive immune response disrupts brain function before neuronal damage occurs. Tracking urea levels and nerve cell markers ...
Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
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