Martha Arbayani Zaidan
Martha Arbayani Zaidan
Research Associate Professor, Nanjing University and Helsinki University
Verified email at - Homepage
Cited by
Cited by
Bayesian hierarchical models for aerospace gas turbine engine prognostics
MA Zaidan, RF Harrison, AR Mills, PJ Fleming
Expert Systems with Applications 42 (1), 539-553, 2015
Gas turbine engine prognostics using Bayesian hierarchical models: A variational approach
MA Zaidan, AR Mills, RF Harrison, PJ Fleming
Mechanical Systems and Signal Processing 70, 120-140, 2016
Prognostics of gas turbine engine: An integrated approach
MA Zaidan, R Relan, AR Mills, RF Harrison
Expert Systems with Applications 42 (22), 8472-8483, 2015
Intelligent calibration and virtual sensing for integrated low-cost air quality sensors
MA Zaidan, NH Motlagh, PL Fung, D Lu, H Timonen, J Kuula, JV Niemi, ...
IEEE Sensors Journal 20 (22), 13638-13652, 2020
Bayesian framework for aerospace gas turbine engine prognostics
MA Zaidan, AR Mills, RF Harrison
2013 IEEE Aerospace Conference, 1-8, 2013
Megasense: Feasibility of low-cost sensors for pollution hot-spot detection
E Lagerspetz, NH Motlagh, MA Zaidan, PL Fung, J Mineraud, S Varjonen, ...
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
Bayesian proxy modelling for estimating black carbon concentrations using white-box and black-box models
MA Zaidan, D Wraith, BE Boor, T Hussein
Applied sciences 9 (22), 4976, 2019
Mutual information input selector and probabilistic machine learning utilisation for air pollution proxies
MA Zaidan, L Dada, MA Alghamdi, H Al-Jeelani, H Lihavainen, ...
Applied sciences 9 (20), 4475, 2019
Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach
MA Zaidan, V Haapasilta, R Relan, P Paasonen, VM Kerminen, ...
Atmospheric Chemistry and Physics 18 (17), 12699-12714, 2018
Predicting atmospheric particle formation days by Bayesian classification of the time series features
MA Zaidan, V Haapasilta, R Relan, H Junninen, PP Aalto, M Kulmala, ...
Tellus B: Chemical and Physical Meteorology 70 (1), 1-10, 2018
Indoor air quality monitoring using infrastructure-based motion detectors
NH Motlagh, MA Zaidan, E Lagerspetz, S Varjonen, J Toivonen, ...
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
Machine learning modeling for energy consumption of residential and commercial sectors
SA Nabavi, A Aslani, MA Zaidan, M Zandi, S Mohammadi, ...
Energies 13 (19), 5171, 2020
Input-adaptive proxy for black carbon as a virtual sensor
PL Fung, MA Zaidan, S Sillanpää, A Kousa, JV Niemi, H Timonen, J Kuula, ...
Sensors 20 (1), 182, 2019
Prognostics of lithium-ion batteries using a deterministic Bayesian approach
F Zheng, J Jiang, MA Zaidan, W He, M Pecht
2015 IEEE Conference on Prognostics and Health Management (PHM), 1-4, 2015
Dynamic modelling and control of a twin-rotor system using adaptive neuro-fuzzy inference system techniques
M Omar, MA Zaidan, MO Tokhi
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2012
Myoglobin-based classification of minced meat using hyperspectral imaging
H Ayaz, M Ahmad, A Sohaib, MN Yasir, MA Zaidan, M Ali, MH Khan, ...
Applied sciences 10 (19), 6862, 2020
Mixture of Clustered Bayesian Neural Networks for Modeling Friction Processes at the Nanoscale
MA Zaidan, FF Canova, L Laurson, AS Foster
Journal of chemical theory and computation 13 (1), 3-8, 2017
ennemi: Non-linear correlation detection with mutual information
P Laarne, MA Zaidan, T Nieminen
SoftwareX 14, 100686, 2021
Curating scientific information in knowledge infrastructures
M Stocker, P Paasonen, M Fiebig, MA Zaidan, A Hardisty
Accommodating repair actions into gas turbine prognostics
Z Skaf, MA Zaidan, RF Harrison, AR Mills
Annual Conference of the PHM Society 5 (1), 2013
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