IEEE

Deep CNN Feature Resampling and Ensemble Based on Cross Validation for Image Classification

Abstract: Deep convolutional neural networks (CNNs) such as AlexNet, VGGNet, ResNet, EfficientNet, and MobileNet have been extensively employed in image classification tasks. A common solution is ...
GitHub

brendonp25-lab/DS4I-2025---Neural-Network-Assignment---BNNJ

This group project explores the use of neural networks to model avalanche hazard forecasts using a 15-year dataset from the Scottish Avalanche Information Service (SAIS). Our group has been assigned ...
Frontiers

HyReti-Net: hybrid retinal diseases classification and diagnosis network using optical coherence tomography

Background: With optical coherence tomography (OCT), doctors are able to see cross-sections of the retinal layers and diagnose retinal diseases. Computer-aided diagnosis algorithms such as ...
PC World

LinkedIn is using your data to train its AI models. Here’s how to opt out

Microsoft-owned social networking site LinkedIn will soon start using the data of its users to train its AI models, reports Windows Latest. The platform has sent out emails to users about the change, ...
The Hacker News

Two Critical Flaws Uncovered in Wondershare RepairIt Exposing User Data and AI Models

Cybersecurity researchers have disclosed two security flaws in Wondershare RepairIt that exposed private user data and potentially exposed the system to artificial intelligence (AI) model tampering ...
IEEE

Enhancing Fault Detection and Classification in Wind Farm Power Generation Using Convolutional Neural Networks (CNN) by Leveraging LVRT Embedded in Numerical Relays

Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...