Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
IEEE

Analysis of the Effects Using BERT Feature Extraction Method on Case of Sentiment Classification on Twitter Social Media

Abstract: This study will analyze the effect of the BERT feature extraction method on the evaluation results of the logistic regression, SVM, K-NN, and MLP algorithms. The parameters compared to each ...
IEEE

Sub-optimal Perceptron Controller Using WOA Algorithm for Farming Watering Mobile Robot

Abstract: Artificial neural networks (ANNs) are intricate mathematical models, drawing inspiration from the biological nervous system, and offering intelligence alongside nonparametric capabilities.
GitHub

Hand-Drawn Shape Classifier

Description This project aims to detect and classify 16x16 pixel drawings into 10 categories (Sun, Moon, Tree, etc.) using linear and probabilistic models. The main focus was not just to use ...