Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
A global research team led by scientists from China’s Tianjin Renai College has developed a novel stochastic optimization technique for enhanced dispatching and operational efficiency in PV-powered ...
Abstract: Sensorimotor adaptation involves concurrent slow and fast processes, commonly modeled using a dual-state framework. This study employed a dual-state Kalman filter, incorporating both ...
Professor Ruszczynski’s interests are in the theory, numerical methods and applications of stochastic optimization. He is author of "Nonlinear Optimization", "Lectures on Stochastic programming", and ...
Abstract: As the scale of wind farms (WFs) and the number of wind turbines (WTs) continue to increase, the calculation efficiency of centralized active wake control (AWC) methods can not satisfy the ...