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 ...

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 ...
BIOENGINEER

Deep Learning Learns to Tell Rice Varieties Apart, One Grain at a Time

Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice ...