E-LIB Suche - Ergebnisse für: David, Maren L

1

Endoscope-associated infections: A microbiologist's perspec..:

Thornhill, Grace ; David, Maren
Techniques in Gastrointestinal Endoscopy. 21 (2019) 4 - p. 150625 , 2019

Link: https://doi.org/10.1016/..

2

How to better monitor and clean irregular surfaces in opera..:

Ellis, Olivia ; Godwin, Hilary ; David, Maren...
American Journal of Infection Control. 46 (2018) 8 - p. 906-912 , 2018

Link: https://doi.org/10.1016/..

3

Understanding the Effectiveness of Clinical Soil Removal Fr..:

Bommarito, Marco ; David, Maren ; Davis, Sarah
American Journal of Infection Control. 45 (2017) 6 - p. S28 , 2017

Link: https://doi.org/10.1016/..

4

Rescaled-LSTM for Predicting Aircraft Component Replacement..:

, In: 2020 Advances in Science and Engineering Technology International Conferences (ASET),

David Dangut, Maren ; Skaf, Zakwan ; Jennions, Ian - p. 1-9 , 2020

Link: https://doi.org/10.1109/..

5

Application of deep reinforcement learning for extremely ra..:

Dangut, Maren David ; Jennions, Ian K. ; King, Steve.
Mechanical Systems and Signal Processing. 171 (2022) - p. 108873 , 2022

Link: https://doi.org/10.1016/..

6

A rare failure detection model for aircraft predictive main..:

Dangut, Maren David ; Jennions, Ian K. ; King, Steve.
Neural Computing and Applications. 35 (2022) 4 - p. 2991-3009 , 2022

Link: https://doi.org/10.1007/..

7

Handling imbalanced data for aircraft predictive maintenanc..:

Dangut, Maren David ; Skaf, Zakwan ; Jennions, Ian K.
Applied Soft Computing. 123 (2022) - p. 108924 , 2022

Link: https://doi.org/10.1016/..

8

An integrated machine learning model for aircraft component..:

Dangut, Maren David ; Skaf, Zakwan ; Jennions, Ian K.
ISA Transactions. 113 (2021) - p. 127-139 , 2021

Link: https://doi.org/10.1016/..

9

Efficacy of Skin and Nasal Povidone-Iodine Preparation agai..:

Anderson, Michele J ; David, Maren L ; Scholz, Matt...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4394816/. , 2015

Link: http://www.ncbi.nlm.nih...

10

Handling imbalanced data for aircraft predictive maintenanc..:

Dangut, Maren David ; Skaf, Zakwan ; Jennions, Ian K
Dangut MD, Skaf Z, Jennions IK. (2022) Handling imbalanced data for aircraft predictive maintenance using the BACHE algorithm, Applied Soft Computing, Volume 123, July 2022, Article number 108924. , 2022

Link: https://doi.org/10.1016/..

11

Application of deep reinforcement learning for extremely ra..:

Dangut, Maren David ; Jennions, Ian K ; King, Steve.
Dangut MD, Jennions IK, King S, Skaf Z. (2022) Application of deep reinforcement learning for extremely rare failure prediction in aircraft maintenance. Mechanical Systems and Signal Processing, Volume 171, May 2022, Article number 108873. , 2022

Link: https://doi.org/10.1016/..

12

A rare failure detection model for aircraft predictive main..:

Dangut, Maren David ; Jennions, Ian K ; King, Steve.
Dangut MD, Jennions IK, King S, Skaf Z. (2023) A rare failure detection model for aircraft predictive maintenance using a deep hybrid learning approach. Neural Computing and Applications, Volume 35, Issue 4, February 2023, pp. 2991–3009. , 2022

Link: https://doi.org/10.1007/..

13

An integrated machine learning model for aircraft component..:

Dangut, Maren David ; Skaf, Zakwan ; Jennions, Ian K
Dangut MD, Skaf Z, Jennions IK. (2021) An integrated machine learning model for aircraft components rare failure prognostics with log-based dataset. ISA Transactions, Volume 113, July 2021, pp. 127-139. , 2020

Link: https://doi.org/10.1016/..

14

Aircraft predictive maintenance modeling using a hybrid imb..:

Dangut, Maren David ; Skaf, Zakwan ; Jennions, Ian
Maren DD, Zakwan S, Ian KJ (2020) Aircraft predictive maintenance modeling using a hybrid imbalance learning approach. In: TESConf 2020 - 9th International Conference on Through-life Engineering Services, Online, 3-4 November 2020. , 2020

Link: https://doi.org/10.2139/..

15

Hemodynamics in pig‐to‐baboon heterotopic thoracic cardiac ..:

Bender, Martin ; Panelli, Alessandro ; Reichart, Bruno...
Xenotransplantation. 31 (2024) 1 - p. , 2024

Link: https://doi.org/10.1111/..