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

InFusionLayer: A CFA-Based Ensemble Tool to Generate New Classifiers for Learning and Modeling

Abstract: Ensemble learning is a well established body of methods for machine learning to enhance predictive performance by combining multiple algorithms/models. Combinatorial Fusion Analysis (CFA) ...
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

Multi-Level Ensemble Learning for Retinal Disease Classification Using a Weighted Strategy

Abstract: The classification of retinal diseases is vital for the early detection and treatment of vision-related disorders. This study proposes a multi-level ensemble learning approach employing deep ...
IEEE

Holistic Scene Recognition through U-Net Semantic Segmentation and CNN

Abstract: The rapid pace at which technology is developing has resulted in a significant rise in the intelligence of machines. These days, researchers are dedicated on giving machines human-like ...
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 ...
GitHub

tensorflow-keras-cnn-python-ai

Deep learning neural network for image classification using TensorFlow and Keras. Includes CNN architecture, data preprocessing, and model training scripts.
IEEE

Dementia Detection in MRI Using CNN Classifier

Abstract: It is essential to emphasise the importance of detecting dementia as early as possible, as this cognitive disorder exhibits signs that increasingly limit the patient. Consequently, early ...
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 ...