IEEE

LSTA-CNN: A Lightweight Spatiotemporal Attention-Based Convolutional Neural Network for ASD Diagnosis Using EEG

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
IEEE

Deep Learning-Based Malaria Detection: A Robust CNN Framework for Accurate and Automated Diagnosis

Abstract: This research suggests a strong framework for automated malaria detection using a Convolutional Neural Network (CNN) model. The dataset, sourced from Kaggle, consists of 27,558 ...
IEEE

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
IEEE

3DDGD: 3D Deepfake Generation and Detection Using 3D Face Meshes

Abstract: 3D face technology is revolutionizing various fields by providing superior security and realism compared with 2D methods. In biometric authentication, 3D facial features serve as unique, ...
IEEE

YOLOv9-Based Human Face Detection and Counting Under Human-Animal Faces, Complex Imaging Environments, and Image Qualities

Abstract: Automatic human face detection and counting can play a vital role in the recognition and tracking of infant and adult faces in both outdoor and indoor human surveillance applications and ...
IEEE

Shadow-Aware Moving Target Detection in ViSAR: A Multiscale CNN–Transformer Hybrid Detection Framework

Abstract: Based on the all-weather imaging capability of synthetic aperture radar (SAR), video synthetic aperture radar (ViSAR) enables dynamic ground target monitoring through high-frame-rate ...
IEEE

Latest Trends in Face Recognition using CNN

Abstract: Face Recognition is a computer vision technology that identifies or verifies a person’s identity using a person’s facial features. It is widely used in different fields like security, ...
IEEE

Towards General Visual-Linguistic Face Forgery Detection

Abstract: Face manipulation techniques have achieved significant advances, presenting serious challenges to security and social trust. Recent works demonstrate that leveraging multimodal models can ...
IEEE

Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance

Abstract: Hyperspectral anomaly detection (HAD) aims to recognize a minority of anomalies that are spectrally different from their surrounding background without prior knowledge. Deep neural networks ...
IEEE

Hospital Bed Vacancy Detection using Depthwise Separable CNN

Abstract: The rising demand for real-time hospital bed man-agement in healthcare institutions requires creative solutions to improve patient care and resource ...
IEEE

Detecting Falls and Slips of Wheelchair Users Using Low-Resolution Thermal Image Analysis

Abstract: As the aging population grows, there is increasing demand for privacy-preserving monitoring of accidents in private rooms, for which thermal cameras are well suited. This paper focuses ...
IEEE

CNN-Based Robust Harmonic Feature Extraction for Open-Circuit Fault Detection and Localization in Modular Multilevel Converters

Abstract: This letter presents a novel convolutional neural network (CNN)-based methodology for robust and accurate open-circuit fault detection and submodule (SM) localization in modular multilevel ...