|
|
|
|
|
Adelia Darlene Drego, Daniel Andersson and Ingo Staack
Surveillance aircraft perform long-duration missions (>eight hours) that include detection and identification of objects on the ground, the water, or in the air. They have surveillance systems that require large amounts of cooling power (typically 10 s o...
ver más
|
|
|
|
|
|
|
|
|
Maja Ahac, Sa?a Ahac, Igor Majstorovic and ?eljko Stepan
This paper aims to contribute to the process of evaluating urban rail infrastructure projects through the presentation of the methodology and the results of a preliminary feasibility study concerning the revitalization, development, and (re)integration o...
ver más
|
|
|
|
|
|
|
|
|
Yan Dong, Jian Zhang, Shaofeng Zhong and Yordan Garbatov
The study aims to develop a simplified strength assessment method for the preliminary structural design of a semi-submersible floating offshore wind turbine platform. The method includes load cases with extreme wave load effects and a load case dominated...
ver más
|
|
|
|
|
|
|
|
|
Won-June Jeong, Seol Nam, Jong-Chun Park and Hyeon Kyu Yoon
This study aims to investigate the influence of wheel configurations on hydrodynamic resistance of an amphibious vessel through experiments and simulations. To evaluate the resistance performance associated with wheel attachments, three configurations we...
ver más
|
|
|
|
|
|
|
|
|
Gleice Kelly Barbosa Souza, Samara Oliveira Silva Santos, André Luiz Carvalho Ottoni, Marcos Santos Oliveira, Daniela Carine Ramires Oliveira and Erivelton Geraldo Nepomuceno
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL). The integration of transfer learning (TL) with AutoRL in combinatorial optimization is an area that requir...
ver más
|
|
|
|