BIOENGINEER

Deep Learning Framework Classifies and Counts Mineral Grains Without Segmentation Labels

A new deep learning framework segments, classifies and counts microscopic mineral grains with 97.57% accuracy without ...
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 ...
GitHub

Viral Disease Classification using Deep Learning

Deep learning-based viral disease classification using CNN + ELM on genome sequences. Classifies viruses into 10 families with applications in bioinformatics - srstm/Viral-disease-classification ...
Semiconductor Engineering

Using Deep Learning ADC For Defect Classification For Automatic Defect Inspection

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...
Business Wire

OKI Develops ‘Ship Classification AI System Technology’ to Classify Ships Through Deep Learning of Underwater Sounds

TOKYO--(BUSINESS WIRE)--OKI (TOKYO: 6703) has developed ‘ship classification AI system technology’ for the automatic classification of ship types through deep learning of underwater sounds. This ...
Natural History Museum%2c London

Using shape analysis and deep learning to classify trace fossils

Trace fossils capture the presence and behaviours of ancient organisms in the form of trackways, trails, and burrows preserved in the rock record. They are important sources of evidence for ...