IEEE

Recognition of Eye Diseases Based on Convolutional Neural Networks (CNN)

Abstract: In this study, a convolutional neural network (CNN)-based method for eye disease recognition is proposed, aiming to identify multiple common eye diseases through automatic analysis of fundus ...
IEEE

Automatic Detection of Synthetic Biomedical Images Using Convolutional Block Attention Module-Based Deep Neural Network

Abstract: With the advancements in deep learning technologies in recent years, the generation of synthetic images, videos, and sounds has become easier. In the medical field, this can manipulate ...
IEEE

Topology-Aware Graph Neural Network-Based State Estimation for PMU-Unobservable Power Systems

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
IEEE

FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration

Abstract: Convolutional neural networks (CNNs) have been foundational in deep learning architectures for image processing, and recently, Transformer networks have emerged, bringing further ...
News 8000

Trump moves to ban transgender care for minors by targeting hospitals

(CNN) — Trump administration health officials announced Thursday that the federal government will block transgender care to children by targeting hospitals and doctors that provide it. New proposed ...
IEEE

An End-to-End Multidomain Interaction Deep Unrolling Network Based on Block-Aware Optimization Model for ISAR Multitarget Separation

Abstract: In complex maritime scenarios, multiple targets in the same radar beam often degrade the quality of inverse synthetic aperture radar (ISAR) imaging. Most existing methods typically leverage ...
IEEE

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...
CNN

GOP-led House passes bill to block the use of Medicaid funds for transgender care for minors

The GOP-controlled House passed a bill that would block Medicaid funds from being used for gender identity care to minors. The measure, sponsored by Republican Rep. Dan Crenshaw, passed by a vote of ...
IEEE

Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement

Abstract: Spiking Neural Networks (SNNs) have garnered considerable attention as a potential alternative to Artificial Neural Networks (ANNs). Recent studies have highlighted SNNs’ potential on ...
Fox News

White House mocks CNN as ‘Chicken News Network’ after failing to schedule Stephen Miller

The White House mocked CNN as "Chicken News Network" on Thursday for failing to book deputy chief of staff for policy Stephen Miller, but the liberal network quickly insisted members of the ...