Abstract: Forecasting stock prices is essential for financial decision-making and investment strategy. This study introduces an automated method for short-term stock price forecasting that uses the ...

The project is end-to-end: automated data ingestion via Azure Functions, a SQL Server feature store, exploratory analysis in Jupyter, machine learning forecasting with XGBoost, and an operational ...

Will the world still need economists in 2030? With skin in the game, we certainly hope so — but artificial intelligence is already transforming economic analysis. In our own work — and in a review of ...

Iowans may feel like the autumn season has been a warm one, but tempertures are finally starting to dip. The second to last week in October is seeing temperatures in the 60s to mid 50s during the day, ...

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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 ...

The Ocean Studies Board (OSB) is the focal point within the National Academies for ocean-related science, engineering, and policy issues. The OSB explores the science, policies, and infrastructure ...

Abstract: The optimal utilization of electrical energy is becoming increasingly necessary due to the rapid growth in the population. Several techniques have been designed to ensure judicious use of ...

Sarah Burris is a long-time veteran of political campaigns, having worked as a fundraiser and media director across the United States. She transitioned into reporting while working for Rock the Vote, ...

Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...

The advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying ...