IEEE

Evaluating Deep Learning Architectures for EEG-Based Driver Fatigue Detection: A Comparative Analysis

Abstract: Driver fatigue is a leading cause of road accidents and fatalities worldwide, highlighting the urgent need for effective and reliable detection systems. Recent advancements in deep learning ...
IEEE

3D CT Liver Images Lesion Extraction and Classification for Using 3D-CNN with GLRLM

Abstract: The imaging technique known as computed tomography (CT) is often considered to be the most reliable way for non-invasive diagnosis. Through the use of three-dimensional (3D) computed ...
IEEE

A Hybrid Framework for Acute Lymphoblastic Leukemia Identification Utilizing VIT-CNN Fusion and Immunologically Inspired Deep Feature Selection

Abstract: Acute Lymphoblastic Leukemia (ALL) is a serious blood cancer characterized by the abnormal growth of progenitor white blood cells, which interferes with normal blood cell production. Early ...
IEEE

Enhanced Recognition of English Handwriting Styles Using a Hybrid CNN-Random Forest Model

Abstract: Most organizations worldwide focus on handwriting recognition as it is vital in several assignments like the archive, education, and security. This is a research paper that puts forward ...
IEEE

A Hybrid Model using CNN and Genetic Algorithm for Pattern Classification of Interstitial Lung Disease

Abstract: Our objective is to develop an advanced computational approach to classify patterns of Interstitial Lung Disease(ILD) using a Hybrid model of Convolutional Neural Network(CNN) and Genetic ...
IEEE

Classification of Kyphosis Rehabilitation Exercises Using MediaPipe and Hybrid CNN-RNN Architecture

Abstract: This paper introduced a deep learning-based approach for the automated classification of kyphosis rehabilitation exercises. This paper introduces models that are capable of analyzing ...
IEEE

A comparative analysis of Alzheimer’s Disease by Pre-Trained CNN Classifiers using Two Palnes of MRI Images

Abstract: Alzheimer’s Disease (AD) is a progressive neurological disorder that leads to significant deterioration in cognitive functions and memory. AD is accompanied by many symptoms like memory loss ...
IEEE

Jellyfish Species Identification: A CNN Based Artificial Neural Network Approach

Abstract: Jellyfish are a diverse category of marine gelatinous organisms that are vital to the balance of aquatic ecosystems, yet they present notable difficulties for biodiversity preservation and ...
IEEE

EEG Emotion Recognition Using PSO-Based Feature Selection and Convolutional Neural Networks

Abstract: EEG signals have become a promising source for emotion recognition due to their ability to capture the brain's electrical activity connected with different emotional conditions. In this work ...
IEEE

Research on wind power equipment fault diagnosis method based on small sample data

Abstract: Targeting issues like small sample size, class imbalance in wind turbine fault diagnosis, and poor quality/unstable training of traditional GANs, this paper proposes a lightweight fault ...
IEEE

ECG Heartbeat Classification Using CNN Autoencoder Feature Extraction and Attention-Augmented BiLSTM Classifier

Abstract: The electrocardiogram (ECG) is a primary non-invasive technique for recording the heart’s electrical activity, but the complexity and subjectivity of manual interpretation have driven the ...