BIOENGINEER

AI Cracks the Concrete Code: Explainable Machine Learning Predicts Green Concrete Strength Before Mixing

Researchers trained an explainable XGBoost model on 1,670 field-recorded concrete mixes, achieving R-squared 0.9263 in ...
BIOENGINEER

Brain Scans and Mitochondrial DNA Offer Clues to Maternal Alzheimer’s Risk

Machine learning of structural MRI and mitochondrial haplogroups can moderately predict a maternal family history of ...

Terms from Convolution Output Size to Natural Language Processing Vectorization Methods Asked in the 2nd G-Certification Mock Exam

Source: Yoshitaka Tomiyama Published: 2020-03-04 / 44 minutes / 24,000 views Scope: The second in a series of explanations ...

A camera combined with AI could help further diagnosis of movement disorders in newborns

Detecting impaired motor function as early as possible after birth with the help of a standard camera linked to intelligent ...
Science

Nutritional interventions’ impacts on human milk: Three trials in low-resource settings

Human milk (HM) composition is variable to support changing infant needs and is influenced by maternal diet and health. We harmonized HM data from three randomized trials in Burkina Faso (MISAME-III), ...
GitHub

concept-drift

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for ...