IEEE

IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals

Abstract: To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...
CNN

Swalwell accuser tells CNN he sent her unsolicited sexual images

The US said it decimated Iran’s nuclear capabilities. But satellite images show some of it appears to have survived ...
CNN

Scientist turns people’s mental images into text using ‘mind-captioning’ technology

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into accurate, descriptive sentences. While there has been progress in ...
GitHub

Azure AutoML for Images - Image Classification

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...
JD Supra

Class Action Suit Brought Against Apple For Using Authors’ Books To Train Its AI Systems

On September 5, 2025, authors Grady Hendrix and Jennifer Roberson filed a class action lawsuit in the U.S. District Court for the Northern District of California, alleging that Apple used pirated ...
Scientific Research Publishing

Enhancing MRI Image Quality through Deep CNN-Augmented Denoising: A Comparative Study of Standard and Hybrid Filters ()

1 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Magnetic Resonance ...
Frontiers

Improving EEG classification of alcoholic and control subjects using DWT-CNN-BiGRU with various noise filtering techniques

Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.
IEEE

Effective Detection of Glaucoma Using Multilevel Cnn Classification Approach

Abstract: Glaucoma appears to be the most contagious eye disease, destroying parts of the retina by damaging the optic nerve fibers and astrocytes. Therefore, it is crucial to detect glaucoma sooner ...