Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Abstract: The goal of this research is to enhance the accuracy of online sales management by finding the most efficient logistics method from the manufacturer using machine learning techniques.

Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

New framework combines Copilot, Claude, ChatGPT, Gemini, Perplexity, and multi-model LLMs to transform Power BI and ...

The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new ...

Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Russia’s defense industry is poised to slow sharply this year as the Kremlin opts to prioritize economic stability and balancing finances over further increases in spending on the war in Ukraine.