Communications of the ACM

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

Urban trees are critically important to mitigate poor air quality, excessive heat islands, and unmoderated rainwater overflow ...
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 ...
AZoRobotics

AI Model Achieves 99.24 % Accuracy in Breast Ultrasound Classification

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
IEEE

Convolution Neural Network (CNN) Architectures Analysis for Photovoltaic (PV) Module Defect Images Classification

Abstract: Photovoltaic (PV) module is the medium to convert solar energy to electrical energy. The existence of defects in the PV module will affect the system's efficiency to generate electricity. In ...
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

A CNN-Based Framework for Skin Disease Classification Using EfficientNetB0

Abstract: Especially with cancers like melanoma, automatic and accurate skin disease classification using dermatoscopic images can significantly enhance clinical decision-making and early management.
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

Classification of Eye Diseases Using CNN on Fundus Images

Abstract: Eye diseases represent a critical global health concern, affecting approximately 2.2 billion individuals with visual impairments or blindness and underscoring the urgent need for accessible ...