IEEE

ECG Heartbeat Classification Using CNN Autoencoder Feature Extraction and Attention-Augmented BiLSTM Classifier

Abstract: The electrocardiogram (ECG) is a primary non-invasive technique for recording the heart’s electrical activity, but the complexity and subjectivity of manual interpretation have driven the ...
IEEE

Autoencoder-Enhanced Balanced GAN Framework for Imbalanced Sonar Image Recognition

Abstract: Deep learning approaches for sonar image recognition exhibit excellent performance under balanced conditions but suffer significant degradation in real-world underwater environments with ...
IEEE

Custom Dataset-Driven Unsupervised Low-Light Image Enhancement Using 2D CNN

Abstract: Low-light image augmentation, which seeks to improve image visibility and quality under low illumination, is an important job in computer vision. We investigate underexposure image ...
CNN

Dolphins’ Tyreek Hill carted off field and taken to hospital with dislocated left knee

Tyreek Hill’s season for the Miami Dolphins potentially came to a sudden end on Monday night, when the standout wide receiver’s left knee became badly twisted shortly after he made a catch near the ...
CNN

Hegseth pushes to remake the military in his preferred image

Before a captive audience of hundreds of senior military officers on Tuesday morning, Defense Secretary Pete Hegseth asserted his vision for how the US military will physically look and act, and ...
IEEE

EdgeAD: Unsupervised Learning Model Based on Prior Knowledge Enhanced Image Anomaly Detection of Heavy Railway Freight Cars

Abstract: Trouble of moving freight car detection system (TFDS) is an important safeguard measure for the operation of railway freight cars. For few- and zero-shot faults that seriously affect traffic ...
IEEE

Robust WiFi Sensing-Based Human Pose Estimation Using Denoising Autoencoder and CNN With Dynamic Subcarrier Attention

Abstract: WiFi sensing-based human pose estimation (HPE) has gained significant attention in the academic community due to its advantages over vision- and sensor-based methods, including ...