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

Intelligent fault diagnosis of drill bit using Digital Twin Assisted deep learning classifiers of MLP, CNN, Hybrid MLP-CNN, and Hybrid CNN-MLP with PCA algorithm

Abstract: Intelligent fault diagnosis using AI models is an evolving engineering technique in the manufacturing sector. It detects anomalies in machinery and improves productivity, safety, efficiency, ...
IEEE

Performance Analysis Using Categorical Boosting Classifier (CatBoost), Ensemble Hard Voting Classifier (EHVC) & Convolution Neural Network (CNN) for DNA Sequence Classification

Abstract: Recently, Machine Learning (ML) has become an essential methodology for medical science. Deoxyribonucleic Acid (DNA) carries all the genetic information of every individual. The extraction ...
IEEE

Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...
IEEE

Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN)

Abstract: As AI technology evolves, seeing is not believing. The boundary between human and machine creativity is increasingly blurred, presenting challenges for the art industry. This is more ...
GitHub

transfer-learning

A deep learning–based system for detecting employee drowsiness during virtual meetings using facial cues like yawning and eye closure. Built with ResNet50V2 and fine-tuned on diverse, augmented ...
IEEE

Alcoholic EEG Signal Feature Extraction Based on Relative Wavelet Bispectrum and Bispectrum-Gaussian Using CNN and ANN Classifier

Abstract: A person who is addicted to alcohol is most likely to have problems related to health and brain function, such as in doing cognitive tasks. Thus, detecting the alcoholic condition is ...
GitHub

madhupandeyy/Brain-Stroke-Detection

Short Description: Brain Stroke Detection System using Flask, TensorFlow, EfficientNetB0, OpenCV, MySQL, Pandas, Grad-CAM, and Matplotlib. Developed a CT-scan based diagnostic web app with a 2-stage ...
GitHub

transfer-learning

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.