IEEE

Bi-ACTCNet: A Bidirectional Channel Attention and Mutual-Cross-Attention Temporal Feature Extraction Network for Motor-Rest Classification in Motor Imagery

Abstract: Combining brain–computer interface (BCI) technology with the Internet of Things (IoT) for practical motor rehabilitation applications is a critical research direction aimed at enhancing the ...
IEEE

Heart Disease Classification using FusionNet to Extract SpatioTemporal Features from ECG Signal

Abstract: An electrocardiogram (ECG) is a foundational tool for diagnosing cardiovascular diseases. However, the assessment of ECG data often depends on the subjective expertise of medical ...
IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
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 CNNs’ constrained receptive fields and Transformers’ local detail insensitivity.
IEEE

Multilayer Feature Extraction Object Detection Based on Deep Forest

Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
KEYT

From order to extraction: Inside the US capture of Nicolás Maduro

(CNN) — It was just like watching television. Huddled in a draped-off room at Mar-a-Lago around screens set up for his viewing pleasure — including, according to photos released by the White House, a ...
Local News 8

Inside the operation: How the US moved to capture Nicolás Maduro

(CNN) — It was just like watching television. Huddled in a draped-off room at Mar-a-Lago around screens set up for his viewing pleasure — including, according to photos released by the White House, a ...
IEEE

UAGLNet: Uncertainty-Aggregated Global-Local Fusion Network with Cooperative CNN-Transformer for Building Extraction

Abstract: Building extraction from remote sensing images is a challenging task due to the complex structure variations of the buildings. Existing methods employ convolutional or self-attention blocks ...
IEEE

Advanced Epilepsy Severity Analysis and Diagnosis via EEG Signal Classification Using Modified LeNet-CNN

Abstract: There are just two stages of sensitivity that the dual rating system can detect, which is its biggest drawback. By modifying the LeNET-CNN framework and including the EMD transform, a ...
IEEE

AI-Driven Stator Fault Detection Using Time-Domain Features of Current Signal

Abstract: The difficulty in the identification of permanent magnet synchronous motor (PMSM) faults has attracted significant a cademic a ttention recently. T his w ork a ddresses the identification o ...
IEEE

Single-Channel Time-Frequency Overlapping Signal Modulation Recognition Network Based on Multi-Domain Adaptive Feature Fusion

Abstract: With the application of massive wireless devices, the receiver often receives mixed signals with time-frequency overlapping. Automatic modulation classification (AMC) of such mixed signals ...
CNN

South Korea will end breeding of bears and extraction of their bile

South Korea said it will formally end its dwindling yet much-criticized bear bile farming industry this week, though about 200 bears are still kept in pens and raised for their gallbladders. The ...