The article considers the problem of increasing the accuracy of the gradient boosting method when forecasting timeseries (including demand for equipment or other goods). The aim of the study is to ...

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

Bamboo, palm, and banana trees have been newly defined as 'grassy trees', a group that blends the strength of trees with the speed and resilience of grasses. This new categorization provides a ...

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 ...

This analysis uses Bristol Airbnb listing data to predict rental prices through machine learning techniques. The dataset contains comprehensive information about Airbnb properties including location ...

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

Abstract: The paper shows the trade-offs between interpretability, computation cost and accuracy of many algorithms for fraud detection from machine learning perspective which provides important clues ...