IEEE

A Robust Benchmark of Modern and Foundational CNN Architectures for Multi-Label Retinal Disease Classification

Abstract: Multi-label classification of retinal diseases is clinically crucial due to the frequent co-existence of pathologies, yet a significant gap exists in robust, reproducible benchmarks of deep ...
IEEE

Lightweight Multi-Path CNN with Multi-Scale Feature Fusion for Interpretable Classification of Intracerebral Hemorrhage in CT Images

Abstract: A potentially fatal neurological emergency, intracerebral hemorrhage (ICH) is caused by bleeding into the brain tissue and frequently leads to increased intracranial pressure and rapid ...
IEEE

Accurate Fake News Detection in Text-Based Content Using K-Nearest Neighbor, LSTM, MLP and CNN Models

Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...

Scammers use stolen identities to work for DoorDash, leaving victims with tax bills

A local accountant says he has clients receiving tax bills who never worked for the delivery service.
IEEE

Lightweight 2D CNN Fusion for Human Activity Recognition Using Multi-Transceiver CSI Data on Edge Devices

Abstract: Human activity recognition (HAR) using channel state information (CSI) has gained significant attention for its potential in various IoT applications. This work introduces a lightweight 2D ...

8 best small-cap value stocks to buy according to analysts

In this article, we’ll look at the 8 Best Small-Cap Value Stocks to Buy According to Analysts. Over the past 12 months, the small-cap focused Russell 2000 Index has climbed more than 21%. That ...
IEEE

Hybrid Multi-Scale CNN with Learnable Frequency Warping for Pathological Voice Classification

Abstract: This paper presents a new deep learning architecture Hybrid Multi-Scale Convolutional Neural Network with Learnable Frequency Warping (HMC-LFW) for improved pathological voice classification ...
IEEE

Dual Attention Multi-Instance Learning for Identifying Autism Spectrum Disorder Using Resting-State fMRI

Abstract: Deep learning has been widely studied to develop computer-aided diagnosis methods for autism spectrum disorder (ASD) due to abnormalities in functional connectivity (FC) caused by neural ...
CNN

March 26, 2026 – Trump administration news

• Our live coverage of the Trump administration has ended for the day. Catch up on the latest here. • Approval rating: Two new polls place Trump’s overall presidential approval rating in the high 30s, ...
IEEE

A Unified Deep Learning Approach for Multi-Mission Spacecraft Anomaly Detection Using Hybrid CNN-LSTM-Transformer Architecture with Multi-Task Learning

Abstract: During space exploration activities, identifying abnormalities in spacecraft systems is essential to guaranteeing mission success and averting expensive mission failures. In order to detect ...
IEEE

A CNN Transformer Hybrid Framework to Multi-Class Brain Tumor Localization by MRI images

Abstract: multi-classification and localization of brain tumors using magnetic resonance imaging (MRI) should be accurately performed in order to achieve reliable clinical diagnosis and treatment ...
CNN

Democrat says GOP using shutdown of TSA as ‘leverage’

What a competitive race to replace Marjorie Taylor Greene says about Republicans' odds to hold the House in November ...