Communications of the ACM

Where Are the City Trees? Monitoring Urban Trees across the U.S. Using Generative AI

The use of generative AI enables a novel computational approach to localize individual trees in all cities, despite their ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

Rice Leaf Diseases Classification Using CNN with Transfer Learning

Abstract: In the field of agriculture, plant diseases pose a serious threat to achieving optimal yields and food security; thus, identifying and classifying rice leaf diseases correctly are key points ...

USC Recruiting Target Pole Moala Making Waves With Classification Decision

The USC Trojans are one of the frontrunners to land class of 2028 recruit, safety Pole Moala. Moala may end up being playing college football sooner rather than ...
IEEE

Grayscale Flower Image Classification Using CNN: A Novel Approach to Enhancing Performance and Precision

Abstract: This project offers a complete solution for automatic flower classification and identification through the use of web-based interfaces and deep learning algorithms. Using a trained ...
IEEE

Automated Thyroid Ultrasound Classification Using Cnn

Abstract: This work focuses on developing an end-to-end approach in automatically classifying thyroid ultrasound images by using a compact convolutional neural network and metadata-driven labelling.
IEEE

A Review on Hyper Spectral Image Classification using CNN and Deep Learning Techniques

Abstract: Hyperspectral Imaging (HSI) has undeniably transformed various real-world applications by capturing intricate spectral information at every pixel. Nevertheless, the nonlinear relationships ...
IEEE

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...