Data-driven approaches are reshaping biopharmaceutical manufacturing. From optimizing cell culture media to enabling predictive control in perfusion bioreactors, scientists are applying statistical ...

Accurate prediction of the mechanical failure of structural components plays an important role in the design of engineering structures. However, the fracture process is challenging to model ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the ...

In this paper, the Elman neural network (ENN) is efficiently combined with the EKF to form a data-driven dynamic data reconciliation scheme named the ENN-EKF. In this combinational method, the ENN is ...

Romit Maulik Assistant Professor, Data Science, Pennsylvania State University Wednesday, Mar. 12 | 10 a.m. | AERO 114 Abstract: Machine learning stands poised to revolutionize the process of ...