New research analyzing medical records from a psychiatric treatment program suggests that the content of psychotic delusions is increasingly incorporating themes related to the internet and modern ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Splitero reports that automated valuation models (AVMs) quickly estimate property values using data, offering speed and affordability over traditional appraisals.

This new mathematical formula, the maximum agreement linear predictor or MALP, could help cutting-edge scientists reach even ...

Abstract: Land cover analysis and change detection are critical components of environmental monitoring and management. This paper explores methodologies, technologies, and applications related to the ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

Abstract: System modeling in distributed adaptive networks remains challenging under sensor aging-induced nonlinear data censoring and non-Gaussian interference. This brief proposes a robust ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a skill that is sought after by employers.