Nature

Quantum computing ‘KPIs’ could distinguish true breakthroughs from spurious claims

Claims of leaps in quantum computing are made almost daily, but progress is hard to judge when each research group uses its own mixture of hardware, algorithms and evaluation metrics, making it near ...
BMJ Open

Study protocol for optimising antipsychotic prescribing among hospitalised patients in the acute care setting in Scotland: a national retrospective cohort study

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Devdiscourse

Can a universal bankruptcy model adapt to economic ups and downs? New evidence says it might

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...
IEEE

MetaRadarHAR: A Radar-Based Human Activity Recognition Methodology Using Metric-Based Meta-Learning

Abstract: Radar-based human activity recognition (HAR) methods are often constrained by the limited availability of open-source datasets and the challenges of collecting large-scale radar data. To ...
IEEE

Comparative Evaluation of LSTM, TCN, and Quantile Regression with Conformal Prediction for Time Series Forecasting under Uncertainty

Abstract: Accurate forecasting with uncertainty quantification is essential in high-risk time series applications. Conformal Prediction (CP) offers a model-agnostic way to generate valid prediction ...