Výsledky vyhľadávania - boosttcp acceleration algorithm

A TCP Acceleration Algorithm for Aerospace-Ground Service Networks

Autori: Canyou Liu Jimin Zhao Feilong Mao a ďalší

Zdroj: Sensors, Vol 22, Iss 23, p 9187 (2022)

Predmety: network delay, packet loss rate, aerospace-ground service network, BoostTCP acceleration algorithm, bottleneck bandwidth and round-trip propagation time congestion control algorithm, cubic congestion control algorithm, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/23/9187; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/593c86909d794560a8fab15a38259fea

A TCP Acceleration Algorithm for Aerospace-Ground Service Networks.

Autori: Liu, Canyou Zhao, Jimin Mao, Feilong a ďalší

Zdroj: Sensors (14248220); Dec2022, Vol. 22 Issue 23, p9187, 20p

Predmety: END-to-end delay, MACHINE learning, DATA transmission systems, ALGORITHMS, DATA packeting, BANDWIDTHS

Structural Health Monitoring

Prispievatelia: Li, Bing Li, Yongbo Noman, Khandaker

Predmety: network delay, packet loss rate, aerospace-ground service network, BoostTCP acceleration algorithm, bottleneck bandwidth and round-trip propagation time congestion control algorithm, cubic congestion control algorithm, attitude sensor, fault diagnosis, attention mechanism, time-frequency signal, RepVGG, hydraulic pump, fault prediction, remaining service life prediction, health status monitoring, degradation feature, data processing, prognostics, screw, extrusion system, real operational data, multi-source data, structural health monitoring, variational mode decomposition, sample entropy, sequence minimum optimization algorithm, unsupervised learning, environmental variations, principal component analysis, short baseline

Popis súboru: image/jpeg

Relation: ONIX_20250812T110751_9783725837052_142; https://mdpi.com/books; https://mdpi.com/books/pdfview/book/10773

Dostupnosť: https://directory.doabooks.org/handle/20.500.12854/165386
https://hdl.handle.net/20.500.12854/165386
https://mdpi.com/books
https://mdpi.com/books/pdfview/book/10773

Structural Health Monitoring: Advanced Sensing, Diagnostics and Prognostics.

Autori: Li, Bing Li, Yongbo Noman, Khandaker

Zdroj: Sensors (14248220); Mar2025, Vol. 25 Issue 5, p1313, 4p

Predmety: REMAINING useful life, ARTIFICIAL intelligence, MECHANICAL engineering, CONVOLUTIONAL neural networks, STRUCTURAL health monitoring, DEEP learning, VIADUCTS