BIOENGINEER

Single-dataset orange image benchmark reports 99.12% accuracy with ViT, PCA and SVM

A cross-validation study of 1,090 images from one public orange dataset found 99.12% ± 0.71% accuracy for ViT + PCA + SVM, ...
BIOENGINEER

Deep Learning Model Reaches 98.39% Accuracy in Cotton Leaf Disease Classification

A hybrid ConvNeXt and Random Walk Grey Wolf Optimizer framework classified six categories of cotton leaf conditions with ...

What it means to study AI and machine learning: What I gained from taking the GCI (Global Consumer Intelligence) course

I took a course called GCI (Global Consumer Intelligence) from April 21 to August 4, 2026, so I will write about what I ...
European Medical Journal

Machine Learning Shows Promise for Alzheimer’s Classification

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...