Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
The growth of the Data Analysis Software Market is primarily driven by the exponential rise in structured and unstructured ...
AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...
Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the development of two predictive models for the yield sooting ...
Zohar Bronfman is the cofounder and CEO of Pecan AI, a predictive analytics platform making advanced AI accessible to business teams. For decades, predictive analytics was a capability largely ...
Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.
Maria Lungu receives funding from the University of Virginia, Digital Technology for Democracy Lab. She is affiliated with nonprofit Center for AI and Digital Policy (CAIDP). The 2002 sci-fi thriller ...
Abstract: This manuscript provides an in-depth analysis of Major League Baseball (MLB) team performance from 2005 to 2023 using data visualization in Tableau and proposed an hybrid data visualization ...
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