Frontiers

Machine learning-based analysis of factors influencing surgical duration in type A aortic dissection

Background: Stanford Type A aortic dissection (TAAD) is a life-threatening condition involving the ascending aorta and requires urgent surgery. This study developed 11 machine learning regression ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
Reuters

Spain's summer of wildfires fuels calls for better forest management

Spain's forestry investments declined 22% from 2009 to 2022 Experts call for increased prevention spending and sustainable forest management Spain's forests grow 2.2% annually, adding fuel to ...
IEEE

The Role of Country- and Firm-Level Factors in Determining Firms’ Environmental, Social, and Governance (ESG) Performance: A Machine Learning Approach

Abstract: The objective of this study is to apply machine learning techniques to predict firms’ environmental, social, and governance (ESG) performance. We employed ten supervised machine learning ...
Mongabay

Will tropical dry forests survive the next 50 years?

Tropical dry forests are critically endangered ecosystems that once covered vast areas of the planet but have been largely destroyed, with less than 8% of the original extent remaining in some regions ...
C&EN

Speaking Different Languages Impacts Size-Resolved Exhaled Breath Aerosol Particle Emission

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Building on the above findings, we investigated the differences ...
IEEE

Flight Ticket Prediction using Random Forest Regressor Compared with Decision Tree Regressor

Abstract: The objective of the research study is to predict and analyze the flight ticket fare using machine learning algorithm Random Forest Regressor in comparison with Decision tree Regression ...
Scientific Research Publishing

Kirasich, K., Smith, T. and Sadler, B. (2018) Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets. SMU Data Science Review, 1, Article 9.

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
Scientific Research Publishing

A Comparative Analysis of the Performance of Machine Learning and Deep Learning Techniques in Predicting Stock Prices ()

1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...