IEEE

Research on Fault Simulation and Feature Signal Extraction of UR Type Rail Transit DC Circuit Breaker by Secheron

Abstract: With the continuous construction of China’s rail transit system, circuit breakers, as critical equipment for protecting system safety, have become increasingly important in fault diagnosis ...
IEEE

A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases

Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
IEEE

A CNN-Transformer Approach for Image-Text Multimodal Classification with Cross-Modal Feature Fusion

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...
IEEE

Monitoring Damage Evolution of CFRP via 1D-CNN-Based Feature Fusion of Acoustic Emission and Electrical Resistance Measurement

Abstract: Identifying damage processes in carbon fiber-reinforced polymer (CFRP) is critical for inspection. Existing detection methods primarily rely on single-sensor techniques, which often fail to ...
IEEE

A Robust Visual SLAM via Lightweight Dense Feature Extraction and Dual-Attention Graph Matching Network

Abstract: With the advancement of computer vision and deep learning, simultaneous localization and mapping (SLAM) has become increasingly important for mobile robot applications. Traditional SLAM ...
IEEE

Deep Learning-Based ECG Signal Quality Determination with Optimized CNN Hyperparameters

Abstract: Electrocardiogram (ECG) signal quality assessment (SQA) is crucial for accurate cardiac diagnosis and monitoring. This study proposes a deep learning-based approach using a convolutional ...
IEEE

Efficient Classification of Multiple Sclerosis and Idiopathic Transverse Myelitis Using CNN Feature Extraction and Walrus Optimizer on MRI Scans

Abstract: Acute myelopathies, including Multiple Sclerosis (MS) and Idiopathic Transverse Myelitis (ITM), present significant diagnostic challenges due to overlapping clinical and imaging features.
IEEE

Multi-Scale Feature Extraction for ECG Beat Classification Using a CNN-Transformer Network with Imbalance Mitigation

Abstract: Deep learning models have become popular for classifying electrocardiogram (ECG) heartbeats, yet traditional Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have ...
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 ...
GitHub

[FEATURE] Shortcut for model switching in interactive mode

Regularly when writing a prompt I realize that this prompt is better suited for Opus. At this time, there is no shortcut to switch models while writing a prompt. It would be really useful if there is ...
IEEE

Enhancing Wind Power Forecasting Accuracy: A Parallel BiLSTM-CNN Hybrid Architecture with Temporal-Spatial Feature Fusion

Abstract: The stochastic and fluctuating characteristics of wind power generation pose a major challenge to the stable operation of power systems, and accurate prediction techniques need to be studied ...
The Hacker News

From MostereRAT to ClickFix: New Malware Campaigns Highlight Rising AI and Phishing Risks

Cybersecurity researchers have disclosed details of a phishing campaign that delivers a stealthy banking malware-turned-remote access trojan called MostereRAT. The phishing attack incorporates a ...