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 ...
An optimized ResNet-18 architecture integrating deformable convolution and efficient channel attention was further introduced to enhance feature representation. The present study aimed to develop and ...
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 ...
Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...
A Highland Middle School social studies teacher is charged with allegedly using artificial intelligence (AI) software to ...
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