Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Algorithm-based strategy shows promise in reducing urban poverty

When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.
Devdiscourse

New AI forecasting model promises greater stability for Kenya’s volatile food prices

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...
Frontiers

Extreme gradient boosting using conventional parameters accurately predicts insulin sensitivity in young and middle-aged Japanese persons

1 Division of Diabetes, Metabolism and Endocrinology, Showa Medical University Fujigaoka Hospital, Yokohama, Japan 2 Division of Endocrinology and Metabolism, Department of Medicine, Jichi Medical ...
Frontiers

Intelligent recognition of surrounding rock grades based on TBM tunneling parameters

1 Sinohydro Bureau 14 Co., Ltd., Kunming, Yunnan, China 2 College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, Guangdong, China Rapid, accurate, and efficient prediction of ...
IEEE

Hydrothermal Air-Conditioner Optimal Control Scheduler Using Random Forest-Gradient Boosting Hybrid Model and Genetic Algorithm

Abstract: This research aims to formulate an optimal control algorithm for a hydrothermal air-conditioning system, with the objective of minimizing energy consumption while simultaneously ensuring ...
SciELO

Predicting Glycerol Electrochemical Oxidation Potentials Using Machine Learning

The electrooxidation of glycerol offers a promising pathway for energy transition and biomass valorization, making it a key area of research. This study employs machine learning (ML) to predict the ...
Brown University

Faster topology optimization: An emerging industrial design technique gets a speed boost

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...