Alejandro Murrieta Mendoza

Research activity per year

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4 Paper
3 Conference contribution
1 Chapter
1 Article

Identifying Flight Schedule Characteristics Increasing Pilots Absenteeism at an Airline Using a Data Mining and Simulation Approach
Nibbering, T. L. & Murrieta-Mendoza, A., 2024, Simulation for a Sustainable Future - 11th Congress, EUROSIM 2023, Proceedings. Mujica Mota, M. & Scala, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 149-162 (Communications in Computer and Information Science; vol. 2032 CCIS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Sector Traffic Balancing Using Tactical Demand Tailoring
Vegter, S., Murrieta-Mendoza, A., Zuñiga, C., Noordeloos, K. & Westerveld, E., 29 Nov 2023. 9 p.
Research output: Contribution to conference › Paper › Academic
Enhancing a simulation-based Allocator Software with machine learning and genetic algorithms for improving the gate assignment problem
Murrieta Mendoza, A., Felix Patrón, R. S. & Mujica Mota, M., 2022. 10 p.
Research output: Contribution to conference › Paper › Academic

Open Access
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426 Downloads (Pure)
The attack and defense on aircraft trajectory prediction algorithms
van Iersel, Q. G., Murrieta-Mendoza, A., Patrón, R. S. F., Hashemi, S. M. & Botez, R. M., 2022, AIAA Aviation 2022 Forum. Reston, VA: American Institute of Aeronautics and Astronautics Inc. (AIAA), AIAA 2022-4027. (AIAA AVIATION 2022 Forum).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Airport passenger flow prediction using LTSM Recurrent Neural Networks
Felix Patron, R. S., Scala, P., Mujica Mota, M. & Murrieta Mendoza, A., 2021. 10 p.
Research output: Contribution to conference › Paper › Academic

Open Access
File
233 Downloads (Pure)

EUROSIM 2023 (Event)
Mujica Mota, M. (Reviewer), Scala, P. (Reviewer) & Murrieta Mendoza, A. (Reviewer)
2023 → …
Activity: Editorial work / Peer review of a publication › Editorial work › Societal

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Alejandro Murrieta Mendoza

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Collaborations and top research areas from the last five years

Dive into details

Identifying Flight Schedule Characteristics Increasing Pilots Absenteeism at an Airline Using a Data Mining and Simulation Approach

Sector Traffic Balancing Using Tactical Demand Tailoring

Enhancing a simulation-based Allocator Software with machine learning and genetic algorithms for improving the gate assignment problem

The attack and defense on aircraft trajectory prediction algorithms

Airport passenger flow prediction using LTSM Recurrent Neural Networks

EUROSIM 2023 (Event)

Alejandro Murrieta Mendoza

Fingerprint

Collaborations and top research areas from the last five years

Research output

Identifying Flight Schedule Characteristics Increasing Pilots Absenteeism at an Airline Using a Data Mining and Simulation Approach

Sector Traffic Balancing Using Tactical Demand Tailoring

Enhancing a simulation-based Allocator Software with machine learning and genetic algorithms for improving the gate assignment problem

The attack and defense on aircraft trajectory prediction algorithms

Airport passenger flow prediction using LTSM Recurrent Neural Networks

Activities

EUROSIM 2023 (Event)