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

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

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 ...

For decades, manufacturing research and d (R&D) has largely relied on a time-tested but costly model: trial and error. Scientists and engineers iterate through experiments, testing different material ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...

Detecting dependence between two random variables is a fundamental problem. Although the Pearson correlation coefficient is effective for capturing linear dependence, it can be entirely powerless for ...

Water Distribution, Hydraulic Modeling, EPANET, Optimization, Extended Period Simulation Charles, G. , Swilla, L. , Tarimo, I ...