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 ...
Abstract: Analyzing irregularly sampled multivariate time series (ISMTS) data poses significant challenges, with such irregularities frequently occurring in contexts like the Industrial Internet of ...
Copyright: © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. We conducted a systematic ...
Our study on sustainable water management in sugarcane biorefineries, which utilizes water as a primary resource for generating bioenergy through steam production, has employed a novel approach. High ...
President Donald Trump is threatening to send the military to Chicago, calling the city a "killing field" and claiming violent crime is out of control. But data from the Chicago Police Department and ...
The recent escalation of tensions between Washington and Caracas, which has led to the United States deploying at least seven warships to the southern Caribbean, can be traced back to a particular day ...
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 ...
This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights ...