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Showing 10 out of a total of 22 results for community: School of Aerospace, Transport and Manufacturing (SATM).
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Compatibility and challenges in machine learning approach for structural crack assessment
Omar, Intisar
;
Khan, Muhammad
;
Starr, Andrew
(
Sage
,
2022-03-11
)
A machine learning approach for the prediction of melting efficiency in wire arc additive manufacturing
Barrionuevo, Germán O.
;
Sequeira‑Almeida, Pedro M.
;
Ríos, Sergio
;
Ramos‑Grez, Jorge A.
;
Williams, Stewart W.
(
Springer
,
2022-03-02
)
Driver distraction detection using machine learning algorithms – an experimental approach
Zhang, Zhaozhong
;
Velenis, Efstathios
;
Fotouhi, Abbas
;
Auger, Daniel J.
;
Cao, Dongpu
(
Inderscience
,
2021-05-08
)
Acoustic monitoring of an aircraft auxiliary power unit
Ahmed, Umair
;
Ali, Fakhre
;
Jennions, Ian
(
Elsevier
,
2023-01-13
)
Fault diagnosis in aircraft fuel system components with machine learning algorithms
Subramanian, Nithya
(
2022-01
)
Predictive modeling for the quantity of recycled end-of-life products using optimized ensemble learners
Xia, Hanbing
;
Han, Ji
;
Milisavljevic-Syed, Jelena
(
Elsevier
,
2023-06-09
)
Exploring the impact of safety culture on incident reporting: lessons learned from machine learning analysis of NHS England staff survey and incident data
Kaya, Gulsum Kubra
;
Ustebay, S.
;
Nixon, James
;
Pilbeam, Colin
(
Elsevier
,
2023-07-13
)
Miscellaneous EEG preprocessing and machine learning for pilots' mental states classification: implications
Alreshidi, Ibrahim M.
;
Moulitsas, Irene
;
Jenkins, Karl W.
(
2022-12-12
)
Green deep reinforcement learning for radio resource management: architecture, algorithm compression, and challenges
Du, Zhiyong
;
Deng, Yansha
;
Guo, Weisi
;
Nallanathan, Arumugam
;
Wu, Qihui
(
IEEE
,
2020-09-24
)
A comprehensive survey of unmanned ground vehicle terrain traversability for unstructured environments and sensor technology insights
Beyçimen, Semih
;
Ignatyev, Dmitry
;
Zolotas, Argyrios
(
Elsevier
,
2023-09-29
)
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