IEEE

FPGA Implementation of CNN-Based Pulmonary Disease Classifier for Low-Cost Diagnostic Platforms

Pulmonary conditions like tuberculosis (TB), pneumonia, and other issues regarding the pulmonary system are one of the global health issues, especially in the lower and middle categories of the world ...
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

Comparative Evaluation of Pretrained CNN Models for Alzheimerś MRI Classification Using XGBoost Classifier

Abstract: Early diagnosis of Alzheimer’s disease (AD) remains difficult, especially when the goal is to differentiate many phases of disease from MRI scans. Many earlier studies looked at CNN features ...
GitHub

sorna-fast/tb-chest-xray-classifier

A deep learning project for detecting Tuberculosis (TB) from chest X-ray images using convolutional neural networks (CNN). This project demonstrates the application of computer vision in medical ...
IEEE

Anomaly Detection for Identity Authentication Using 1D-CNN-LSTM Autoencoder and Doppler Radar with Classifiers

Abstract: This study presents an integrated framework combining 1D-CNN-LSTM-Autoencoder-based anomaly detection with identity authentication using machine learning classifiers. The 1D-CNN-LSTM ...
IEEE

A Robust and Fast Operational Risk Assessment Method for Composite Power Systems with High Wind Power Penetration

Abstract: The strong stochasticity and volatility of wind power generation pose new challenges to the operational reliability of power systems. Traditional reliability assessment often struggles to ...
IEEE

High-Performance Computing-Embedded CIoT Framework for Enhanced Credit Risk Assessment Using BC and Attention-CNN

Abstract: Consumer credit risk assessment (CRA) is a process of data gathered from IoT devices called the Consumer IoT. CRA determines the probability that a consumer will miss payments on a financial ...
IEEE

Real-Time Rice Leaf Disease Classification With a VGG-16–Based CNN Deployed on Android via TensorFlow Lite

Abstract: Rice productivity is strongly affected by foliar diseases, yet field diagnosis in rural areas is often slow, subjective, and limited by internet access. This paper presents a real-time rice ...
GitHub

Tutorial on seismic signal/noise classification; from linear to deep classifiers

This jupyter notebook tutorial is meant to be a general introduction to machine and deep learning. We use seismic time series data from i) real earthquakes and ii) nuisance signals to train a suite of ...