Martha Arbayani Zaidan

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Tareq HusseinProfessor, the University of JordanVerified email at ju.edu.jo
Andrew R MillsUniversity of SheffieldVerified email at sheffield.ac.uk
Robert F HarrisonUniversity of SheffieldVerified email at sheffield.ac.uk
Sasu TarkomaProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Pak Lun FungPhD student, University of HelsinkiVerified email at helsinki.fi
Naser Hossein MotlaghUniversity of HelsinkiVerified email at helsinki.fi
Rishi RelanSystem Identification and Predictive Modelling Expert, Siemens EnergyVerified email at siemens.com
Peter J FlemingProfessor of Industrial Systems and Control, University of SheffieldVerified email at sheffield.ac.uk
Adam S. FosterAalto UniversityVerified email at aalto.fi
Hilkka TimonenFinnish meteorological instituteVerified email at fmi.fi
Joel KuulaAtmospheric Composition Research, Finnish Meteorological InstituteVerified email at fmi.fi
Eemil LagerspetzPostdoctoral Researcher at Department of Computer Science, University of HelsinkiVerified email at cs.helsinki.fi
Petteri NurmiAssociate Professor, University of HelsinkiVerified email at helsinki.fi
Heikki JunninenUniversity of Tartu, Institute of PhysicsVerified email at ut.ee
Matti SiekkinenResearch Scientist, Aalto UniversityVerified email at aalto.fi
Yutaka MatsumiNagoya UniversityVerified email at nagoya-u.jp
Julien MineraudPost-doctoral research, Computer Science Department, University of Helsinki, FinlandVerified email at cs.helsinki.fi
Samu VarjonenUniversity researcher, Computer Science, University of HelsinkiVerified email at cs.helsinki.fi
Darren WraithSenior Lecturer, Queensland University of TechnologyVerified email at qut.edu.au
Lasse LaursonProfessor, Tampere UniversityVerified email at tuni.fi

Martha Arbayani Zaidan

Research Associate Professor, Nanjing University and Helsinki University

Verified email at helsinki.fi - Homepage

Artificial Intelligence Data Sciences Intelligent Control Systems Condition Health Monitoring Sensing Technologies


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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	67	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	65	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	33	2015
Bayesian framework for aerospace gas turbine engine prognostics MA Zaidan, AR Mills, RF Harrison 2013 IEEE Aerospace Conference, 1-8, 2013	31	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	16	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	13	2018
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	12	2020
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	10	2019
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	10	2012
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	9	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	9	2019
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	9	2018
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	9	2015
Accommodating repair actions into gas turbine prognostics Z Skaf, MA Zaidan, RF Harrison, AR Mills Annual Conference of the PHM Society 5 (1), 2013	8	2013
Modelling of a flexible manoeuvring system using ANFIS techniques M Omar, MA Zaidan, MO Tokhi 2010 12th International Conference on Computer Modelling and Simulation, 33-38, 2010	8	2010
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	7	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, 2020	7	2020
Curating scientific information in knowledge infrastructures M Stocker, P Paasonen, M Fiebig, MA Zaidan, A Hardisty	7	2018
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	7	2017
Fusing an ensemble of diverse prognostic life predictions OW Laslett, AR Mills, MA Zaidan, RF Harrison 2014 IEEE Aerospace Conference, 1-10, 2014	7	2014

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