Nature

Crop-weed classification using deep learning: a comparative study of CNNs, vision transformers, and interpretable models

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
IEEE

Structural Approach to Convolutional Neural Network Trained With Novel Scaled Matrix Image for Pseudo Real-Time Power Quality Event Monitoring

Abstract: The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, ...
Circuit Digest

How to Make a Raspberry Pi Waste Segregation System Using CircuitDigest Cloud

Even when we clean, because of laziness or lack of time, we often throw all waste into the same bin without separating ...
IEEE

A Novel Multi-Branch Channel Expansion Network for Garbage Image Classification

Abstract: Due to the lack of data available for training, deep learning hardly performed well in the field of garbage image classification. We choose the TrashNet data set which is widely used in the ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

aMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada ...