11   Artículos

 
en línea
Mengmeng Wang and Haiyan Wang    
Container ports are prone to delays, congestion, and logistics interruptions under the perturbation of uncertain events inside and outside the system. This not only affects the service quality of the system but also brings a serious blow to the whole tra... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Duo Sun, Lei Zhang, Kai Jin, Jiasheng Ling and Xiaoyuan Zheng    
Aiming at the imbalance of industrial control system data and the poor detection effect of industrial control intrusion detection systems on network attack traffic problems, we propose an ETM-TBD model based on hybrid machine learning and neural network ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mohsen Aghabegloo, Kamran Rezaie, S. Ali Torabi and Seyed Mohammad Khalili    
Asset-intensive industries, such as the construction industry, have experienced major catastrophes that have led to significant operational disruptions. Physical asset failure has been the primary cause of these disruptions. Therefore, implementing prope... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Wei Xie, Xiaoshuang Li, Wenbin Jian, Yang Yang, Hongwei Liu, Luis F. Robledo and Wen Nie    
Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM, and the selection of models also plays an important role. In this study... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Valentina Zaccaria, Amare D. Fentaye, Mikael Stenfelt and Konstantinos G. Kyprianidis    
Since aeronautic transportation is responsible for a rising share of polluting emissions, it is of primary importance to minimize the fuel consumption any time during operations. From this perspective, continuous monitoring of engine performance is essen... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Catherine Dezan, Sara Zermani and Chabha Hireche    
Bayesian Networks (BN) are probabilistic models that are commonly used for the diagnosis in numerous domains (medicine, finance, transport, robotics, ?). In the case of autonomous vehicles, they can contribute to elaborate intelligent monitors that can t... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xin Li, José-Fernán Martínez and Gregorio Rubio    
Ontologies have been widely used to facilitate semantic interoperability and serve as a common information model in many applications or domains. The Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project, aiming to facilitate coor... ver más
Revista: Applied Sciences    Formato: Electrónico

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