No matter how lovely your laundry room might be, doing laundry is still a chore—and a chore that can run up your energy bill. In our opinion, laundry seems like one of those activities that is best ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...

Abstract: The cloud machine utilization prediction using a multivariate time series model is explored in this study. The cloud machine usage data set samples are selected with varied patterns. The ...

ABSTRACT: Time series forecasting is essential for generating predictive insights across various domains, including healthcare, finance, and energy. This study focuses on forecasting patient health ...

1 College of Design, Creative and Digital Industries, University of Westminster, London, United Kingdom 2 School of Computing, Informatics Institute of Technology, Colombo, Sri Lanka The advancement ...

Manufacturing is becoming more data-driven by the day. Machines on the factory floor generate overwhelming volumes of sensor data, tracking everything from temperature and pressure to vibration and ...

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