IEEE

NN-XGBoost: Nearest-Neighbor eXtreme Gradient Boosting for Temporal Downscaling and Prediction

Abstract: Accurate forecasting of Downward Shortwave Radiation (DSWR) and other climate data is crucial for applications in renewable energy, agriculture, and environmental research. There are many ...
Tech Xplore

AI training method slashes pre-training time by 50% while boosting accuracy

A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial intelligence (AI) tools in the hands of many more people by reducing the cost ...
Scientific Research Publishing

Saied, M., Guirguis, S. and Madbouly, M. (2023) A Comparative Study of Using Boosting-Based Machine Learning Algorithms for IoT Network Intrusion Detection. International ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
The New York Times

Google’s Quantum Computer Makes a Big Technical Leap

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 ...
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 ...
Frontiers

Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning

Orphan genes are associated with regulatory patterns, but experimental methods for identifying orphan genes are both time-consuming and expensive. Designing an accurate and robust classification model ...