Abstract: The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social communication. Earlier diagnosis of ASD from brain image is necessary for reducing the effect of disorder. In ...

Abstract: This study investigates the use of lightweight deep learning models for classifying operational states of hydrocyclones in a copper mining process. A diverse data set was curated by ...

The training and validation scripts are based on timm's repository and have been adapted to work with our DiDiCM approach. The DiDiRN architecture is built upon the ResNet design for a fair comparison ...

This repository aims at reproducing the results from "CBAM: Convolutional Block Attention Module". We use the module coinjointly with the ResNet CNN architecture. The module is tested on the CIFAR10 ...

A group of researchers from the Technion and the United States reports a breakthrough in MRI scanning in a paper published in ...

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...

A stunningly concentrated and hefty galaxy cluster, from a time in the universe's history when such massive structures aren't expected to have fully formed yet, is challenging cosmic evolution ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

A Highland Middle School social studies teacher is charged with allegedly using artificial intelligence (AI) software to ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

Conclusions The optimized ResNet-18 achieved accurate and stable MH staging using OCT images under a standardized training framework. Compared with deeper CNN and Transformer-based architectures, the ...