Using the city of Lahore, Pakistan, as a detailed case study, the research offers broader insights into why smog remains so persistent in densely populated cities with high transport demand and ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Stock markets are essential for households for wealth creation and for firms for raising financial resources for capacity ...

Pop Mart dropped some killer Labubu new sets in 2025 that drove the craze into overdrive. These releases blended vibrant ...

Abstract: The deployment of Photovoltaic (PV) systems benefits any energy system, provided that the corresponding uncertainties are mitigated by means of forecasting techniques. While nowcasting is ...

East Coast winter storms look dramatic on radar, but their real story is subtle: moisture, timing, and a few critical layers ...

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...