An ensemble stacking algorithm to improve model accuracy in bankruptcy prediction
Bankruptcy analysis is needed to anticipate bankruptcy. Errors in predicting bankruptcy often
cause bankruptcy. Machine learning with high accuracy to analyze reversal must …
cause bankruptcy. Machine learning with high accuracy to analyze reversal must …
Mask Detection System with Computer Vision-Based on CNN and YOLO Method Using Nvidia Jetson Nano
Health is an essential aspect of life. The World Health Organization (WHO) has officially
declared the Corona Virus (Covid-19) a global pandemic that has spread to Indonesia. For …
declared the Corona Virus (Covid-19) a global pandemic that has spread to Indonesia. For …
Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding
The issue of the Global Recession is hitting various countries, including Indonesia. Many
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
Sentiment analysis on social media against public policy using multinomial naive bayes
WB Zulfikar, AR Atmadja… - Scientific Journal of …, 2023 - shura.shu.ac.uk
Purpose: The purpose of this study is to analyze text documents from Twitter about public
policies in handling COVID-19 that are currently or have been determined. The text …
policies in handling COVID-19 that are currently or have been determined. The text …
Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity …
This paper presents several novel findings from a comprehensive analysis of about 50,000
Tweets about online learning during COVID-19, posted on Twitter between 9 November …
Tweets about online learning during COVID-19, posted on Twitter between 9 November …
Early Detection of Diabetes Using Random Forest Algorithm
CN Noviyanti, A Alamsyah - Journal of Information System …, 2024 - shmpublisher.com
Diabetes is one of the most chronic and deadly diseases. According to data from WHO in
2021, there were approximately 422 million adults living with diabetes worldwide, and this …
2021, there were approximately 422 million adults living with diabetes worldwide, and this …
Increased accuracy in predicting student academic performance using random forest classifier
AF Mulyana, W Puspita, J Jumanto - Journal of Student Research …, 2023 - shmpublisher.com
This research aims to classify the academic performance of students who are successful and
who have dropped out of school with high accuracy so that these matters can be addressed …
who have dropped out of school with high accuracy so that these matters can be addressed …
[HTML][HTML] Classification of Spiral and Non-Spiral Galaxies using Decision Tree Analysis and Random Forest Model: A Study on the Zoo Galaxy Dataset
Purpose: The goal of this research is to create a precise prediction model that can
differentiate between spiral and non-spiral galaxies using the Zoo galaxy dataset. Decision …
differentiate between spiral and non-spiral galaxies using the Zoo galaxy dataset. Decision …
Developed an expert system for analysis of covid-19 affected
S Mishra, S Yadav, M Aggarwal… - Journal of Soft …, 2023 - shmpublisher.com
The expert system solves problems within a specific area of the knowledge base. Prolog is a
logical programming language which works on its knowledge base and effectively can be …
logical programming language which works on its knowledge base and effectively can be …