No description
-
2014 (v1)PublicationUploaded on: March 27, 2023
-
2012 (v1)Publication
No description
Uploaded on: March 31, 2023 -
2013 (v1)Publication
No description
Uploaded on: April 14, 2023 -
2013 (v1)Publication
Predictive control is investigated as a paradigm for the allocation of handling resources to transfer containers inside intermodal terminals. The decisions on the allocation of such resources are derived from the minimization of performance cost functions that measure the lay times of carriers over a forward horizon basing on a model of the...
Uploaded on: April 14, 2023 -
2021 (v1)Publication
In the latest years, energy-efficient scheduling has become an increasingly compelling and relevant matter due to both the rising global pollution levels and the growing interest of the industry towards sustainable manufacturing [1]. Specifically, many efforts have been devoted towards scheduling with the Time-of-Use (TOU) energy...
Uploaded on: April 14, 2023 -
2023 (v1)Publication
Effectiveness of data-driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one-hidden-layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state...
Uploaded on: February 4, 2024 -
2023 (v1)Publication
No description
Uploaded on: November 9, 2024 -
2024 (v1)Publication
No description
Uploaded on: November 9, 2024 -
2024 (v1)Publication
No description
Uploaded on: November 9, 2024