IEEE

Feature Fusion Based on Multi-Scale Cascaded Attention for Radar Signal Modulation Recognition

Abstract: Modulation recognition of radar signals is a core challenge in electronic countermeasures under complex electromagnetic environments. Deep learning demonstrates significant promise for ...
News-Medical.Net

CNN-based system improves lung nodule detection and classification

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
IEEE

Recognition of Stroke Level Based on EEG Signal Using Multi-networks of CNN-Transformer

Abstract: Stroke is a major cause of long-term neurological impairment, and continuous monitoring of post-stroke patients is essential for rehabilitation and relapse prevention. Electroencephalogram ...
Bleeping Computer

Germany warns of Signal account hijacking targeting senior figures

Germany's domestic intelligence agency is warning of suspected state-sponsored threat actors targeting high-ranking individuals in phishing attacks via messaging apps like Signal. The attacks combine ...
IEEE

A Hybrid CNN-LSTM Model with Signal Decomposition for Multi-Step Electrical Load Forecasting

Abstract: Accurate power load forecasting is a cornerstone for the reliable operation and economic dispatch of modern power grids, particularly as the integration of Variable Renewable Energy ...
IEEE

ECGNET-H: A Hybrid CNN-GRU Model for Real-Time ECG Signal Classification

Abstract: Electrocardiogram (ECG) signals are crucial for early detection and ongoing monitoring of cardiovascular diseases. This research introduces ECGNet-H, a new hybrid deep learning framework ...
IEEE

Real-Time Driver Distraction Detection via CNN Feature Extraction and PCA Regularized SVM

Abstract: Driver distraction is a leading contributor to road accidents, highlighting the need for intelligent systems that enable early detection and prevention. This paper presents a model designed ...
IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
IEEE

Eye Movement Feature-Guided Signal De-Drifting in Electrooculography Systems

Abstract: Electrooculography (EOG) is widely used for gaze tracking in Human-Robot Collaboration (HRC). However, baseline drift caused by low-frequency noise significantly impacts the accuracy of EOG ...
Comicbook.com

Code Vein 2 Sets a New Standard for Accessibility in Soulslike Games

Ever since the genre gained popularity, soulslike games have been known for their challenging gameplay, punishing difficulty, and steep learning curves. FromSoftware’s Dark Souls made this a defining ...
SiliconANGLE

Ai2 launches family of open-source AI developer agents that adapt to any codebase

Artificial intelligence is moving swiftly, changing how developers craft, as code flows ever faster into repositories such as GitHub and machine minds now work alongside human hands. According to the ...