Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
The predictive capabilities of AI can be a powerful tool, but the goal of such algorithms is to maximize efficiency, which ...
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Campaign Middle East on MSN
Even before you knew that you wanted it
At its core, digital marketing has always been about people – understanding them deeply enough to deliver the right message ...
As the College Football Playoff nears its tempestuous conclusion, symbolically finishing off calendar year 2025, we wanted to speculate on what lies ahead. If you are an athletic director staring down ...
President Donald Trump's executive order directing states to deploy artificial intelligence in foster care isn't just welcome ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
Abstract: Due to the extensive computational burden of enumeration algorithm employed in finite control set model predictive control (FCS-MPC) for multilevel converters, this article proposes a ...
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