ABSTRACT: Early detection of Alzheimer’s disease (AD) is critical for intervention and monitoring. Spontaneous speech is a rich behavioural signal of cognitive decline, yet many machine-learning ...

Traditional long-term forecasting models are no longer sufficient as electrification, DER growth, EV adoption, extreme weather events and new large loads introduce unprecedented complexity. The future ...

Many government contractors still rely on fragmented systems and static spreadsheets to project what’s ahead. That approach may work for tracking awarded contracts, but it fails to support confident ...

At first glance, forecasting behavior might seem far-fetched—can we really predict how people will act? It's a fair question. But just as we once questioned whether we could reliably predict the ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. Weather forecasts are notoriously unreliable. Most people can ...

Supply chain planningis almost impossible without having an understanding of the future. And since an ecommerce supply chain consists of several moving parts, how does an online brand go about supply ...

In today’s rapidly evolving business landscape, the ability to accurately forecast sales is more critical than ever. Yet, traditional sales forecasting methods are increasingly proving inadequate, as ...

This issue serves as a discussion topic, summarizing the current state of reconciliation methods in sktime, identifying which methods are missing, and suggesting potential improvements for user ...

Every day, meteorologist Hannah Wangari takes the free graphs and maps produced by the five forecasting models she subscribes to and interprets what she sees. “What’s the likelihood of rain in ...