Martha Arbayani Zaidan
Martha Arbayani Zaidan
Academy Research Fellow | Data Scientist, University of Helsinki
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
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
Deep learning in energy modeling: Application in smart buildings with distributed energy generation
SA Nabavi, NH Motlagh, MA Zaidan, A Aslani, B Zakeri
IEEE Access 9, 125439-125461, 2021
Air pollution exposure monitoring using portable low-cost air quality sensors
P Kortoçi, NH Motlagh, MA Zaidan, PL Fung, S Varjonen, ...
Smart health 23, 100241, 2022
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
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
Time-lag selection for time-series forecasting using neural network and heuristic algorithm
O Surakhi, MA Zaidan, PL Fung, N Hossein Motlagh, S Serhan, ...
Electronics 10 (20), 2518, 2021
Bayesian framework for aerospace gas turbine engine prognostics
MA Zaidan, AR Mills, RF Harrison
2013 IEEE Aerospace Conference, 1-8, 2013
Evaluation of white-box versus black-box machine learning models in estimating ambient black carbon concentration
PL Fung, MA Zaidan, H Timonen, JV Niemi, A Kousa, J Kuula, K Luoma, ...
Journal of aerosol science 152, 105694, 2021
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
ennemi: Non-linear correlation detection with mutual information
P Laarne, MA Zaidan, T Nieminen
SoftwareX 14, 100686, 2021
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
Intelligent air pollution sensors calibration for extreme events and drifts monitoring
MA Zaidan, NH Motlagh, PL Fung, AS Khalaf, Y Matsumi, A Ding, ...
IEEE Transactions on Industrial Informatics 19 (2), 1366-1379, 2023
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
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
Transit pollution exposure monitoring using low-cost wearable sensors
NH Motlagh, MA Zaidan, PL Fung, E Lagerspetz, K Aula, S Varjonen, ...
Transportation Research Part D: Transport and Environment 98, 102981, 2021
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
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
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