BIOENGINEER

Lightweight Neural Network Balances Accuracy and Efficiency in Medical Image Classification

Researchers have introduced ReCAN, a lightweight convolutional neural network that achieves high medical image classification ...
BIOENGINEER

Machine Learning Accurately Predicts Capacity of Long Bolted Steel Modular Joints

Researchers have demonstrated that machine learning algorithms and symbolic regression can accurately predict the ultimate moment capacity and failure modes of long-bolted steel connections in modular ...
GitHub

Cat vs Dog Classification Model

This project is a machine learning application built from scratch to classify images of cats and dogs using a Convolutional Neural Network (CNN) model. The dataset includes thousands of images, ...
GitHub

Environmental Audio Classification with Deep 2D-CNNs & Log-Mel Spectrograms

Environmental Audio Sound Classification from Log-Mel Spectrograms using a Deep 2D Convolutional Neural Network in PyTorch. - GideonMwiti/pytorch-audio-classification-cnn ...
eLife

The psychedelic DOI decreases the modularity of the cortical network by increasing cortico-cortical and thalamo-cortical functional influence

This important study combines cortex-wide activity imaging and optogenetics to characterize large-scale changes in functional connectivity following administration of the psychedelic DOI, as well as ...