IEEE

Hybrid Deep Learning Framework for Road Surface Classification: Integrating Autoencoder-Based Denoising and CNN-Based Classification

Abstract: This study uses a hybrid deep learning technique to classify asphalt, pavement, and unpaved roads. In real-world circumstances, image data noise can damage image categorization algorithms.
IEEE

Robust Road Surface Classification Using Time Series Augmented Intelligent Tire Sensor Data and 1-D CNN

Abstract: Tire-road friction coefficient information is an essential factor in the driving stability and safety of a vehicle. In recent years, there has been a lot of research on using the vibration ...
IEEE

A Somatotype Classification Approach Based on Generative AI and Frontal Images of Individuals

Abstract: Somatotype is a definition that classifies human bodies according to their shape, and its determination is crucial for evaluating and improving athletic performance. However, the traditional ...
IEEE

Vitamin Deficiency Detection Using CNN-Based Image Analysis of Skin, Tongue and Nails

Abstract: Vitamin deficiency is a widespread global health issue that affects millions, often leading to severe physiological and dermatological complications. Early detection is essential for timely ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

Small Target Classification of Maritime Radars Using Standardized Time-Frequency Distribution Images and Residual Networks With Improved Focal Loss

Abstract: Small target classification is an important but difficult task in maritime surveillance radar measurements. Due to the small sizes of small targets, no spatial scattering structural ...
IEEE

Enhancing GNSS Localization in Urban Canyons With a Hybrid CNN-Autoencoder Approach to LOS/NLOS Classification

Abstract: Non-Line-of-Sight (NLOS) reception is acknowledged as a primary source of positioning error in Global Navigation Satellite System (GNSS) applications ...
IEEE

A Novel CNN Architecture for Alzheimer's Disease Classification Using MRI Images: Comparison with Traditional Machine Learning Models

Abstract: Automated medical image processing has significantly improved with recent advances in deep learning and imaging technologies, particularly in the area of neuroimaging-based Alzheimer's ...
IEEE

Hybrid Attention-Based Residual Network for Image Classification

Abstract: Residual Attention Networks (RANs) are a class of Convolutional Neural Networks (CNNs) that integrate attention mechanisms into deep architectures. RANs employ stacked attention modules to ...
IEEE

An SAGPSO-CNN Approach for Supervised Fault Classification in MVdc Shipboard Power Systems

Abstract: All-electric ships (AESs) utilizing medium-voltage dc (MVdc) shipboard power systems (SPSs) rely on a limited number of generators to supply power to propulsion units and onboard loads. To ...
IEEE

FCTFANet: A Fused CNN-Transformer Feature Aggregator Network for Image Restoration

Abstract: Convolutional neural networks (CNNs) have been foundational in deep learning architectures for image processing, and recently, Transformer networks have emerged, bringing further ...
IEEE

CWmamba: Leveraging CNN-Mamba Fusion for Enhanced Change Detection in Remote Sensing Images

Abstract: Remote sensing image change detection is crucial for urban construction and environmental monitoring. Recent advancements have seen convolutional neural networks (CNNs) and transformer ...