Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...

Abstract: In brain–computer interface (BCI) applications, imagined speech (IMS) decoding based on electroencephalogram (EEG) has established a new neuro-paradigm that offers an intuitive communication ...

The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Are you looking to get experience with Excel for use in your projects, theses or on the job? Join Daria Orlowska, data librarian, in a live demonstration of combining, organizing and analyzing data.

Sometimes, we encounter issues with Microsoft Office applications, like Word, Excel, etc. Microsoft Office applications become completely unusable when they do not launch or crash repeatedly.

Department of Sustainable Development and Ecological Transition, Università del Piemonte Orientale, Piazza Sant’Eusebio 5, Vercelli 13100, Italy ...

Q. You explained Excel’s Scenario Manager in your November 2024 Tech Q&A article and Goal Seek in your December 2024 Tech Q&A article. Can you please explain the final What-If Analysis tool: Data ...

Q. In your November Tech Q&A article on Excel’s Scenario Manager, you mentioned two other “what-if” tools: Goal Seek and Data Table. Can you show how those work like you did with Scenario Manager?

Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...