Lehigh researchers create new method that improves consistency between predicted and observed data. An international team of mathematicians led by Lehigh University statistician Taeho Kim has ...
Abstract: Multivariate time series data, which has more complex and multidimensional characteristics compared to univariate data, is used in fields such as urban transportation, power grids, and ...
Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India ...
Leaders today are facing a crisis of employee engagement and trust in company leadership. According to Gallup, U.S. employee engagement dropped to 31% in 2024, the lowest level in a decade, with 17% ...
The Green Bay Packers defense has kept opposing offenses under 20 points in four of their five games so far this season, but at times they have failed to slam the door in the second half. Of the 102 ...
Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...
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