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We study multi-period inventory control systems in which managers face seasonal demands with unknown distributions and make inventory decisions based on past demand data. It can be shown that a data-d...
Extremum seeking control(ESC)is a class of data-driven optimization algorithms which can drive the output of an unknown dynamic system to its optimal value with respect to some cost function by using ...
We consider a joint production-service planning problem with demand uncertainty, where the manufacturer aims to determine the portfolio of products with the associated service levels and the capacity ...
The scientific evidence that humans are directly influencing the Earth’s natural climate is increasingly compelling. Numerous studies suggest that climate change will lead to changes in the seasonalit...
A comprehensive data driven modeling experiment is presented in a two-part paper. In this first part, an extensive data-driven modeling experiment is proposed. The most important concerns regarding th...
This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial ...
Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the concept of Data Driven...

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