Abstract: Existing time series prediction models struggle with long-sequence data due to limitations in capturing long-range dependencies and processing multichannel information simultaneously. To ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, traditional statistical models have struggled to interpret nonlinear, dynamic ...

With the 2025 World Series set to get underway, get into the Fall Classic spirit with these MLB-themed games using the FanDuel Casino promo code. The Los Angeles Dodgers are four wins away from ...

President Donald Trump slammed Time magazine for using what he called a “super bad” photo of him in its news coverage of covering the Israel-Hamas peace deal brokered by him. “Time Magazine wrote a ...

A comprehensive time series analysis project that uses various forecasting techniques to predict book sales and demand patterns. This project analyzes historical sales data from Nielsen BookScan to ...

1 Analytics Department, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India 2 Department of Data Science, School of Computer Science and Engineering ...

Google’s Flood Hub uses AI to deliver flood warnings five days in advance. The forecasts could be used by nonprofits to deliver early aid to the flood-affected. Trials in Africa suggest farmers ...

Abstract: Retail transactions time series analysis helps the super market to analyze the customer behavior based on their purchases. It helps the super market to increase their sales based on the ...

Apple's upcoming foldable iPhone will have a frame that's made from a mix of titanium and aluminum, analyst Jeff Pu said today in a note shared with investors. Pu suggested that Apple will expand its ...