In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...

Gain insights on using time and sales data for smarter trading. Learn how to analyze real-time trade orders to refine your ...

Abstract: Predictive maintenance (PdM) is a critical concept in Industry 4.0 that aims to improve manufacturing processes by predicting the remaining useful time of machinery. The development of PdM ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

ChronoTagger is a powerful, interactive GUI for labeling time intervals on matplotlib plots. Built for scientific data analysis, it provides a seamless workflow for annotating time-series data with ML ...

New research reveals that ‘foundation models’ trained on vast, general time‑series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Roughly one in five student interactions with generative artificial intelligence on school technology involved cheating, self-harm, bullying, and other problematic behaviors, according to data ...

An AI lab called Fundamental emerged from stealth on Thursday, offering a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by ...

Four years ago, a security incident sent our engineering team on a new course: After the scramble of gathering logs and getting more frustrated with the limited visibility that comes with ...

We use the stock selection benchmark dataset from https://github.com/fulifeng/Temporal_Relational_Stock_Ranking/tree/master. To prepare the data: feature_describe ...