E-LIB Suche - Ergebnisse für: Razak Seidu

1

A Novel Method for Anomaly Detection and Signal Calibration..:

Liu, Jincheng ; Wu, Di ; Mohammed, Hadi.
Water. 16 (2024) 9 - p. 1238 , 2024

2

Node search space reduction for optimal placement of pressu..:

Tornyeviadzi, Hoese Michel ; Owusu-Ansah, Emmauel ; Mohammed, Hadi.
Alexandria Engineering Journal. 94 (2024) - p. 325-338 , 2024

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

3

A Comparative Flood Susceptibility Assessment in a Norwegia..:

, In: Advances in Research on Water Resources and Environmental Systems; Environmental Science and Engineering,

Van Nguyen, Lam ; Bui, Dieu Tien ; Seidu, Razak - p. 591-618 , 2023

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

4

Semi-supervised anomaly detection methods for leakage ident..:

Tornyeviadzi, Hoese Michel ; Mohammed, Hadi ; Seidu, Razak
Machine Learning with Applications. 14 (2023) - p. 100501 , 2023

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

5

Robust night flow analysis in water distribution networks: ..:

Tornyeviadzi, Hoese Michel ; Mohammed, Hadi ; Seidu, Razak
Advanced Engineering Informatics. 58 (2023) - p. 102135 , 2023

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

6

Leakage detection in water distribution networks via 1D CNN..:

Tornyeviadzi, Hoese Michel ; Seidu, Razak
Engineering Applications of Artificial Intelligence. 122 (2023) - p. 106062 , 2023

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

7

Utilization of Augmented Reality Technique for Sewer Condit..:

Nguyen, Lam Van ; Bui, Dieu Tien ; Seidu, Razak
Water. 15 (2023) 24 - p. 4232 , 2023

Link: https://doi.org/10.3390/..

8

Emulating process-based water quality modelling in water so..:

Mohammed, Hadi ; Michel Tornyeviadzi, Hoese ; Seidu, Razak
Journal of Hydrology. 609 (2022) - p. 127675 , 2022

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

9

Comparison of Machine Learning Techniques for Condition Ass..:

Nguyen, Lam Van ; Bui, Dieu Tien ; Seidu, Razak
IEEE Access. 10 (2022) - p. 124238-124258 , 2022

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

10

Predicting Discharges in Sewer Pipes Using an Integrated Lo..:

Nguyen, Lam Van ; Tornyeviadzi, Hoese Michel ; Bui, Dieu Tien.
Water. 14 (2022) 3 - p. 300 , 2022

Link: https://doi.org/10.3390/..

11

Application of Regression-Based Machine Learning Algorithms..:

Nguyen, Lam Van ; Seidu, Razak
Water. 14 (2022) 24 - p. 3993 , 2022

Link: https://doi.org/10.3390/..

12

Dynamic segment criticality analysis: A precursor to schedu..:

Tornyeviadzi, Hoese Michel ; Mohammed, Hadi ; Seidu, Razak
Alexandria Engineering Journal. 61 (2022) 12 - p. 9261-9272 , 2022

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

13

A systematic framework for dynamic nodal vulnerability asse..:

Tornyeviadzi, Hoese Michel ; Owusu-Ansah, Emmanuel ; Mohammed, Hadi.
Reliability Engineering & System Safety. 219 (2022) - p. 108217 , 2022

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

14

Nodal vulnerability assessment of water distribution networ..:

Tornyeviadzi, Hoese Michel ; Neba, Fabrice Abunde ; Mohammed, Hadi.
International Journal of Critical Infrastructure Protection. 34 (2021) - p. 100434 , 2021

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

15

Study effect of flow rate on flat-plate water-based photovo..:

Abdul-Ganiyu, Saeed ; Quansah, David A. ; Ramde, Emmanuel W...
Journal of Cleaner Production. 321 (2021) - p. 128985 , 2021

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