This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Abstract: While Long Short-Term Memory (LSTM) networks are pivotal for time-series forecasting, their fixed recurrent structure struggles to capture the complex dynamics of financial markets, such as ...

ABSTRACT: This paper explores effective methods for predicting gold prices, proposing three modeling strategies: a standalone Long Short-Term Memory (LSTM) network, a Convolutional Self-Attention (CSA ...

“Stranger Things” fans are counting down the minutes to the Netflix series's final episode on New Year's Eve. "Stranger Things" returned to Hawkins, Indiana, after a three-year wait on Nov. 26 when it ...

It is late November, and that means the return of Survivor Series and the WarGames match. The five vs. five match inside a double ring surrounded by a cage is one of the highlights of the WWE calendar ...

Corporate income tax (CIT) collections are among the most difficult revenues to forecast—even with adequate staffing, comprehensive data, and a stable tax design. In practice, forecasting units ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

The Los Angeles Dodgers tied things up in the World Series last night, winning a thrilling Game 6 against the Toronto Blue Jays with a nail-biting ending. In the ninth inning, with the Dodgers up 3-1.

ABSTRACT: With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness ...