IEEE

A Hybrid Approach Using CNN Feature Extraction and SVM/XGBoost for Lung Nodule Classification

Abstract: Early detection of lung cancer is highly beneficial for patient survival. This paper proposes a hybrid deep learning diagnostic pipeline for pulmonary nodules in chest CT. We constructed a ...
IEEE

A Study of EEG Signal Classification for Alzheimer's Disease Based on Feature-Fused Two-Branch Parallel Networks

Abstract: Alzheimer's disease (AD) is a neurodegenerative disease that is mainly characterised by an insidious onset and subtle clinical symptoms, making it difficult to diagnose by conventional means ...

How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
IEEE

A Cardiac-Gating Method for Human Cerebral Hemodynamic Signal Extraction

Abstract: Cerebral hemodynamic monitoring is crucial for diagnosing neurovascular conditions, but existing imaging modalities that have been used on the clinical side have the limitations of bulky ...
IEEE

Feature Extraction Based On Signal Similarity for Damage Detection with Ultrasonic Guided Waves

Abstract: Structural health monitoring is crucial for safeguarding critical infrastructure and requires the use of traceable methods. Hence, using explainable machine learning (ML) becomes ...
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

Automatic Extraction of Open-Pit Mining Areas Based on Multilevel Feature Fusion and Vegetation Feature Enhancement

Abstract: Accurately extracting open-pit mining areas (OMAs) from high-resolution remote sensing imagery is of great significance for ecological restoration and sustainable resource management.
CNN

Are we living in a simulation? These people see ‘The Matrix’ code

Frey on Pentagon putting troops on standby: ‘We will not be intimidated’ ...
The New York Times

Stephen Miller Asserts U.S. Has Right to Take Greenland

In a CNN interview, the Trump aide also echoed the president’s intent to run Venezuela as he laid out a case for the United States to control weaker states by flexing its military might. By Chris ...
IEEE

Intelligent Fault Diagnosis of Motor Bearings Based on Dual-Branch Depthwise Separable CNN With Acoustic–Vibration Signal Fusion

Abstract: The intelligent diagnosis of motor bearings under complex working conditions presents significant challenges, including insufficient feature extraction, limited reliability of ...
IEEE

Research on Communication Signal Recognition based on CNN-LSTM Neural Networks

Abstract: This paper addresses the issue of degraded accuracy in traditional communication signal recognition under low Signal-to-Noise Ratio (SNR) environments by proposing a Convolutional Neural ...