IEEE

Improving the Accuracy by Comparing with CatBoost Classifier Algorithm over Multilayer Perceptron Classifier Algorithm for Predicting the Air Pollution

Abstract: Aim: This effort aims to determine the type of air pollution quality. Through a comparison study of the catboost Classifier procedure and the MLP classifier method, it has been found which ...
GitHub

Snowflake ID Generator

A Python library for generating unique, distributed IDs using a modified Snowflake algorithm. This library allows for easy generation of Snowflake IDs, encoding/decoding to Base62, and extracting ...
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 ...