IEEE

MFEF-SARDet: A Multiscale Feature Extraction and Fusion Network for Small-Ship Detection in Maritime SAR Images

Abstract: Synthetic aperture radar (SAR) offers all-day, all-weather, and cloud-covered imaging and has wide applications in ocean monitoring, military reconnaissance, and disaster assessment.
IEEE

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
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

Real-Time Driver Distraction Detection via CNN Feature Extraction and PCA Regularized SVM

Abstract: Driver distraction is a leading contributor to road accidents, highlighting the need for intelligent systems that enable early detection and prevention. This paper presents a model designed ...
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

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

A Reconstructed Phase Space and Multi-Scale Feature Fusion Approach for RF Signal Modulation Identification

Abstract: Modulation identification of radio frequency (RF) signals is a fundamental task in contemporary wireless communications, electronic warfare, and spectrum surveillance. While deep ...
IEEE

CNN-Based EOG Signal Classification for Human Computer Interfaces

Abstract: Eye-movement-based communication is a new alternative for individuals who are unable to communicate through traditional means. This paper proposes a deep learning approach for ...
IEEE

Recognition of Stroke Level Based on EEG Signal Using Multi-networks of CNN-Transformer

Abstract: Stroke is a major cause of long-term neurological impairment, and continuous monitoring of post-stroke patients is essential for rehabilitation and relapse prevention. Electroencephalogram ...
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 ...
CNBC

AI startup Replit launches feature to vibe code mobile apps

Replit's new feature allows users to create publishable and monetizable mobile apps using only natural language prompts. As more vibe-coding products come online, some software companies could see one ...