IEEE

Atrial Fibrillation Detection Using FFT Magnitude Spectrum of PPG Signal with 1D CNN

Abstract: Atrial fibrillation (AF) is a major contributor to heart failure and stroke, emphasising the need for accurate and accessible detection methods, particularly for outpatient and low-resource ...
IEEE

Radiomic Features Extraction from CMR perfusion imaging to evaluate ischemic damage and ventricular function in coronary artery disease

Abstract: This study aimed to assess the prognostic value of radiomic features extracted from cardiac magnetic resonance (CMR) perfusion imaging, both alone and in combination with clinical variables, ...
IEEE

SCAFNet: A Semantic Compensated Adaptive Fusion Network for Remote Sensing Images Change Detection

Abstract: Current CNN–Transformer hybrid methods for remote sensing change detection aim to address the limitations of the CNNs’ constrained receptive fields and the Transformers’ local detail ...
IEEE

PrefixCAN-Signal: PrefixSpan-based Automatic Controller Area Network Signal Extraction

Abstract: Modern vehicles rely heavily on Controller Area Network (CAN) communication for time-critical functions such as engine control and powertrain management. As vehicles become increasingly ...
IEEE

SEGS-MobileNetV2: An Enhanced Lightweight CNN for Efficient Feature Representation in Industrial Defect Classification

Abstract: Industrial defect images are often low-resolution and exhibit subtle texture variations, making fine-grained feature extraction particularly challenging. To address these issues, we propose ...
IEEE

Dual-Stage Feature Optimization: Fault Classification Combining Signal Decomposition and LightGBM

Abstract: To improve the fault diagnosis accuracy of synchronous condenser bearings, this study proposes an intelligent diagnostic method based on multi-domain feature fusion. First, vibration signals ...
IEEE

Transformer-CNN Hybrid Architecture for Heart Disease Risk Stratification: Leveraging Self-Attention Mechanisms and Convolutional Feature Extraction

Abstract: Heart disease is the leading global cause of death, requiring accurate and interpretable prediction models. This thesis proposes a Transformer-CNN hybrid that integrates CNN local feature ...
IEEE

Hybrid Quantum-CNN Framework for Secure, Robust, and Efficient IoT Localization under Adversarial Signal Attacks

Abstract: Accurate and secure localization is critical for mission-critical IoT applications, yet networks remain vulnerable to attacks such as Neutralization-Inspired Fake Signal (NIFS) attacks. We ...
KEYT

The world’s most valuable company just sent another signal that AI agents are going to be everywhere

(CNN) — Tech giant Nvidia, the world’s most valuable company and the poster child of the AI boom, is banking its future on the rise of AI agents. The company on Monday announced a slew of software and ...
The Daily Signal

CNN Repeatedly Screws Up on Mamdani and 2 Muslims With Bombs

Tim Graham is director of media analysis at the Media Research Center and executive editor of the blog NewsBusters.org. On March 7, two teenaged Muslims were arrested for lighting and throwing ...
IEEE

Edge Intelligence for Speech: Evaluating Model Performance, Feature Extraction and Signal Fidelity on Commodity Hardware

Abstract: This paper presents a comprehensive examination of speech analysis techniques, focusing on their applicability and performance in edge computing environments, particularly on single-board ...