IEEE

Feature Extraction and Classification of ECG Signals Using 2-D CNN

Abstract: This work investigates ECG arrhythmia classification using two-dimensional convolutional neural networks (2D CNNs) applied to wavelet-based time–frequency representations. Three CNN ...
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 ...
CNN

The weapons the US could employ in any new strike on Iran

The Trump administration touted last year’s bombing of Iranian nuclear sites as one of its great military successes. US Air Force B-2 bombers dropped 14 of the world’s biggest bombs, hitting two ...
Hosted on MSN

Humanity receives mysterious 10-second signal from unknown source in deep space

A 10-second signal from one of the most distant points in the universe has been detected by humanity, and scientists are still trying to understand its origins. Two Earth satellites have confirmed ...
IEEE

Mask R-CNN-based bushing segmentation with refined feature extraction and precise localization

Abstract: Accurate localization and segmentation of power equipment are critical for automated inspection systems, particularly in detecting structural and thermal anomalies. However, the task remains ...
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

Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction

Abstract: The human face reveals significant information about an individual’s identity, age, gender, emotion, and ethnicity. In face-to-face communication, age plays a vital role, influencing ...
IEEE

KCNN: A 1D Kernel Enhanced CNN Aided Feature Fusion Technique for Multi-level Anxiety Detection from Wearable ECG Sensor Signal

Abstract: This work proposes heart rate variability (HRV) and kernel enhanced 1D-CNN based feature fusion technique for automatic anxiety detection from single channel wearable electrocardiogram (ECG) ...
IEEE

RFTransUNet: Res-Feature Cross Vision Transformer-Based UNet for Building Extraction From High-Resolution Remote Sensing Images

Abstract: As the core carriers of human activities, buildings represent not only the fundamental components of urban spatial structures but also serve critical functions in global resource management, ...
IEEE

Feature Extraction from Sheet Metal Parts Using Semantic Segmentation

Abstract: The analysis of sheet metal is crucial in determining the features of cut metal parts, performing quality control, and optimizing production. This study offers a new approach to extracting ...
IEEE

Deep Learning for Accurate Classification of Pulmonary Edema Severity in Chest X-Rays: A Comparative Evaluation of CNN Models with Grad-CAM Feature Visualization

Abstract: Accurate classification of pulmonary edema severity is essential for timely diagnosis and effective management, as each severity level requires distinct therapeutic interventions.