|
|
|
|
|
Alevizos Bastas and George A. Vouros
With the aim to enhance automation in conflict detection and resolution (CD&R) tasks in the air traffic management (ATM) domain, this article studies the use of artificial intelligence and machine learning (AI/ML) methods to learn air traffic control...
ver más
|
|
|
|
|
|
|
|
|
Rui Zhou, Weicheng Gao, Wei Liu and Jianxun Xu
With advantages in efficiency and convenience, analytical models using experimental inputs to predict the mechanical properties of plain-woven fabric (PWF) composites are reliable in guaranteeing the composites? engineering applications. Considering the ...
ver más
|
|
|
|
|
|
|
|
|
Seongil Kwon, Jeongryul Kim, Yonghwan Moon and Keri Kim
Hyper-redundant manipulators are widely used in minimally invasive surgery because they can navigate through narrow passages in passive compliance with the human body. Although their stability and dexterity have been significantly improved over the years...
ver más
|
|
|
|
|
|
|
|
|
Andrea Gatto, Valeria Aloisi, Gabriele Accarino, Francesco Immorlano, Marco Chiarelli and Giovanni Aloisio
Since December 2019, the novel coronavirus disease (COVID-19) has had a considerable impact on the health and socio-economic fabric of Italy. The effective reproduction number Rt is one of the most representative indicators of the contagion status as it ...
ver más
|
|
|
|
|
|
|
|
|
Anzhen Qin, Zhilong Fan and Liuzeng Zhang
Precise estimation of reference evapotranspiration (ET0) is of significant importance in hydrologic processes. In this study, a genetic algorithm (GA) optimized back propagation (BP) neural network model was developed to estimate ET0 using different comb...
ver más
|
|
|
|