IEEE

Automated Face Recognition System Using Convolutional Neural Network

Abstract: The research is devoted to the development of an automated face recognition system based on a convolutional neural network (CNN). The proposed system uses modern methods of image ...
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

A Hybrid Deep Learning Framework for Herbal Plant Leaf Classification Using CNN Feature Fusion and SHIOGT-FGA Optimization

Abstract: The increasing concern with quick and accurate plant disease diagnosis has resulted in the setup of automated mechanisms based on deep learning technologies. It is a study that proposes a ...
IEEE

A Novel Approach for Facial Emotion Recognition: Deep CNN Feature Extraction Combined with ML Models

Abstract: Facial expression recognition (FER) serves as a fundamental component of human-computer interaction, showing its influence on computing, and behavioral analysis. The proposed work here ...
KVIA

Speak in code, delete the chats: The tactics Venezuelans are using out of fear of phone checks

These recent WhatsApp messages of a Venezuelan family – who asked to remain anonymous for fear of reprisals – underscore the caution civilians are taking in their daily conversations, on social media ...
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

Text-Augmented Semantic Feature Extraction and Difference Information Learning for Remote Sensing Image Change Captioning

Abstract: Remote sensing image change captioning (RSICC) aims to generate sentence descriptions about land cover changes in bitemporal images. The effective acquisition of semantic-level change ...
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.