|
|
|
|
|
Yiji Ma, Yuzhe Zhao, Jiahao Yu, Jingmiao Zhou and Haibo Kuang
Shipping companies and maritime organizations want to improve the energy efficiency of ships and reduce fuel costs through optimization measures; however, the accurate fuel consumption prediction of fuel consumption is a prerequisite for conducting optim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Panagiotis Pintelas and Ioannis E. Livieris
During the last decades, in the area of machine learning and data mining, the development of ensemble methods has gained a significant attention from the scientific community. Machine learning ensemble methods combine multiple learning algorithms to obta...
ver más
|
|
|
|
|
|
|
|
|
|
|
Soojin Park
One of the most widely used models for specifying functional requirements is a use case model. The viewpoint of the use case model that views a system as a black box focuses on descriptions of external interactions between the system and related environm...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mauro Venturini, Stefano Alvisi, Silvio Simani and Lucrezia Manservigi
This paper deals with the comparison of different methods which can be used for the prediction of the performance curves of pumps as turbines (PATs). The considered approaches are four, i.e., one physics-based simulation model (“white box” mo...
ver más
|
|
|
|
|
|