Mihaela Mitici
Mihaela Mitici
Assistant professor, Utrecht University
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Cited by
Cited by
eVTOL Arrival Sequencing and Scheduling for On-Demand Urban Air Mobility
IC Kleinbekman, M Mitici, P Wei
37th AIAA/IEEE Digital Avionics Systems Conference (DASC), London, UK, 2018
A Review of Current Technology and Research in Urban On-Demand Air Mobility Applications
N Polaczyk, E Trombino, P Wei, M Mitici
Autonomous VTOL/eVTOL Symposium, Arizona, USA, 2019
Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components
I de Pater, M Mitici
Reliability Engineering & System Safety 214, 107761, 2021
Deep reinforcement learning for predictive aircraft maintenance using probabilistic remaining-useful-life prognostics
J Lee, M Mitici
Reliability Engineering & System Safety 230, 108908, 2023
An integrated assessment of safety and efficiency of aircraft maintenance strategies using agent-based modelling and stochastic Petri nets
J Lee, M Mitici
Reliability Engineering & System Safety 202, 107052, 2020
Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics
I de Pater, A Reijns, M Mitici
Reliability Engineering & System Safety 221, 108341, 2022
Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions
M Lambelho, M Mitici, S Pickup, A Marsden
Journal of air transport management 82, 101737, 2020
Rolling-horizon electric vertical takeoff and landing arrival scheduling for on-demand urban air mobility
IC Kleinbekman, M Mitici, P Wei
Journal of Aerospace Information Systems 17 (3), 150-159, 2020
Mathematical models for air traffic conflict and collision probability estimation
M Mitici, HAP Blom
IEEE Transactions on Intelligent Transportation Systems 20 (3), 1052-1068, 2018
Queue-based modeling of the aircraft arrival process at a single airport
E Itoh, M Mitici
Aerospace 6 (10), 103, 2019
Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder
I de Pater, M Mitici
Engineering Applications of Artificial Intelligence 117, 105582, 2023
Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines
M Mitici, I de Pater, A Barros, Z Zeng
Reliability Engineering & System Safety 234, 109199, 2023
Probabilistic flight delay predictions using machine learning and applications to the flight-to-gate assignment problem
M Zoutendijk, M Mitici
Aerospace 8 (6), 152, 2021
Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling
J Lee, M Mitici
Reliability Engineering & System Safety 218, 108123, 2022
Third party risk modelling of Unmanned Aircraft System operations, with application to parcel delivery service
HAP Blom, C Jiang, WBA Grimme, M Mitici, YS Cheung
Reliability Engineering & System Safety 214, 107788, 2021
Evaluating the impact of new aircraft separation minima on available airspace capacity and arrival time delay
E Itoh, M Mitici
The Aeronautical Journal 124 (1274), 447-471, 2020
Analyzing tactical control strategies for aircraft arrivals at an airport using a queuing model
E Itoh, M Mitici
Journal of Air Transport Management 89, 101938, 2020
Energy-efficient data collection in wireless sensor networks with time constraints
M Mitici, J Goseling, M de Graaf, RJ Boucherie
Performance evaluation 102, 34-52, 2016
Electric flight scheduling with battery-charging and battery-swapping opportunities
M Mitici, M Pereira, F Oliviero
EURO Journal on Transportation and Logistics 11, 100074, 2022
Online model-based remaining-useful-life prognostics for aircraft cooling units using time-warping degradation clustering
M Mitici, I De Pater
Aerospace 8 (6), 168, 2021
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