|
|
|
|
|
Jiashi Wang, Xinjian Wang, Yinwei Feng, Yuhao Cao, Zicheng Guo and Zhengjiang Liu
Crude oil transportation is a vital component of the global energy supply, and the global Crude Oil Maritime Transportation Network (COMTN) plays a crucial role as a carrier for crude oil transportation. Once the network faces attacks that result in the ...
ver más
|
|
|
|
|
|
|
|
|
Jhon Jasper Apan, Lemmuel Tayo and Jaime Honra
Bypass graft failures are linked to hemodynamic disturbances resulting from poor design. Several studies have tried to improve graft patency by modifying conventional graft designs. One strategy being employed is to induce spiral flow in bypass grafts us...
ver más
|
|
|
|
|
|
|
|
|
Seyed Mohammad Hashemi, Seyed Ali Hashemi, Ruxandra Mihaela Botez and Georges Ghazi
This paper presents a methodology for designing a highly reliable Air Traffic Management and Control (ATMC) methodology using Neural Networks and Peer-to-Peer (P2P) blockchain. A novel data-driven algorithm was designed for Aircraft Trajectory Prediction...
ver más
|
|
|
|
|
|
|
|
|
Yarob Abdullah and Zeinab Movahedi
Two crucial challenges in Industry 4.0 involve maintaining critical latency requirements for data access and ensuring efficient power consumption by field devices. Traditional centralized industrial networks that provide rudimentary data distribution cap...
ver más
|
|
|
|
|
|
|
|
|
Li He, Shasha Ji, Kunlun Xin, Zewei Chen, Lei Chen, Jun Nan and Chenxi Song
Hydraulic monitoring data is critical for optimizing drainage system design and predicting system performance, particularly in the establishment of data-driven hydraulic models. However, anomalies in monitoring data, caused by sensor failures and network...
ver más
|
|
|
|