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Reinforcement learning algorithms can solve dynamic decision-making and optimal control problems. With continuous-valued state and input variables, reinforcement learning algorithms must rely on ...
In order to address this problem, an improved principal component regression (IPCR) is proposed in this paper. IPCR separates the process measurements into a quality-related part and a ...
Objective This study aimed to assess the coronavirus disease 2019 (COVID-19) hospitalisation costs and its associated factors on Nepalese households during the second wave of the pandemic, within the ...
Minnesota lawmakers face rising threats amid efforts to boost security, protect personal data, and navigate inconsistent public safety systems.
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...
Finite element methods (FEMs) are powerful numerical techniques that discretise these complex systems, enabling the approximation of both state and control variables.
In combination with state‐of‐the‐art numerical methods, these equations facilitate the simulation of electromagnetic wave propagation in complex environments, including dispersive media and ...
Hossain, E. , Tahia, F. , Siemens, A. , Islam, M. , Rahman, Z. and Ahmad, I. (2025) Spatiotemporal Dynamics of Land Use ...
Reprint: R0411J In the classroom, activity-based costing (ABC) looks like a great way to manage a company’s limited resources. But executives who have tried to implement ABC in their ...
The assassination of a Minnesota state lawmaker and the attempted murder of another are somber data points in what appears to be an era of increasing political violence, a review of available data and ...
ABSTRACT This study was conducted on 2049 eggs, collected from commercial white layer hybrids, with the purpose of predicting egg weight (EW) from egg quality characteristics such as shell weight (SW) ...