Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

New AI models are underperforming on SEO tasks. Discover why accuracy is down and how to adapt before these regressions ...

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

Abstract: Polystyrene microparticles were analyzed by a probe Raman spectrometer in consideration of detecting super-microplastics. The limit of detection was markedly improved when the particles were ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

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 ...

Teacher Productivity, Strategies, Public Secondary Schools, Uasin Gishu, Baringo, Kenya Share and Cite: Kiptoo, D. , Omachar, B.S. and Kegode, G. (2025) Strategies for Enhancing Teacher Productivity ...

Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming.

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 ...

Introduction Mothers’ experiences at birth and respectful maternal care are critical to achieving Sustainable Development ...