Članki z zahtevami za javni dostop - Zaharah A. BukhshVeč o tem
Ni na voljo nikjer: 1
Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning
F Meneghello, J Middelhuis, L Genga, Z Bukhsh, M Ronzani, ...
International Conference on Business Process Management, 167-184, 2024
Zahteve: Netherlands Organisation for Scientific Research
Na voljo nekje: 19
Predictive maintenance using tree-based classification techniques: A case of railway switches
ZA Bukhsh, A Saeed, I Stipanovic, AG Doree
Transportation Research Part C: Emerging Technologies 101, 35-54, 2019
Zahteve: European Commission
Network level bridges maintenance planning using Multi-Attribute Utility Theory
Z Allah Bukhsh, I Stipanovic, G Klanker, A O’Connor, AG Doree
Structure and infrastructure engineering 15 (7), 872-885, 2018
Zahteve: European Commission
Multi-year maintenance planning framework using multi-attribute utility theory and genetic algorithms
Z Allah Bukhsh, I Stipanovic, AG Doree
European transport research review 12, 1-13, 2020
Zahteve: European Commission
Damage detection using in-domain and cross-domain transfer learning
ZA Bukhsh, N Jansen, A Saeed
Neural Computing and Applications, https://doi.org/10.1007/s00521-021-06279, 2021
Zahteve: Netherlands Organisation for Scientific Research
Maintenance intervention predictions using entity-embedding neural networks
ZA Bukhsh, I Stipanovic, A Saeed, AG Doree
Automation in Construction 116, 103202, 2020
Zahteve: European Commission
A multiobjective decision-making model for risk-based maintenance scheduling of railway earthworks
I Stipanovic, ZA Bukhsh, C Reale, K Gavin
Applied Sciences 11 (3), 965, 2021
Zahteve: European Commission
Predictive Maintenance for Infrastructure Asset Management
ZA Bukhsh, I Stipanovic
IT Professional 22 (5), 40-45, 2020
Zahteve: Netherlands Organisation for Scientific Research, European Commission
Multi-criteria decision making: AHP method applied for network bridge prioritization
ZA Bukhsh, I Stipanovic, G Klanker, N Hoj, B Imam, Y Xenidis
Joint COST TU1402-COST TU1406-IABSE WC1 Workshop 2017, 3.2-1-3.2-9, 2017
Zahteve: European Commission
Unsupervised anomaly detection algorithms on real-world data: how many do we need?
R Bouman, Z Bukhsh, T Heskes
Journal of Machine Learning Research 25 (105), 1-34, 2024
Zahteve: Netherlands Organisation for Scientific Research
A machine learning approach for maintenance prediction of railway assets
ZA Bukhsh, A Saeed, I Stipanovic
Transp. Res. Arena 2018, 2018
Zahteve: European Commission
Online control of adaptive large neighborhood search using deep reinforcement learning
R Reijnen, Y Zhang, HC Lau, Z Bukhsh
Proceedings of the International Conference on Automated Planning and …, 2024
Zahteve: Luxembourg National Research Fund
A maintenance planning framework using online and offline deep reinforcement learning
ZA Bukhsh, H Molegraaf, N Jansen
Neural Computing and Applications, 1-12, 2023
Zahteve: Netherlands Organisation for Scientific Research, European Commission
Grouping of maintenance actions with deep reinforcement learning and graph convolutional networks
D Kerkkamp, Z Bukhsh, Y Zhang, N Jansen
14th International Conference on Agents and Artificial Intelligence, ICAART …, 2022
Zahteve: Netherlands Organisation for Scientific Research
Deep reinforcement learning for adaptive parameter control in differential evolution for multi-objective optimization
R Reijnen, Y Zhang, Z Bukhsh, M Guzek
2022 IEEE Symposium Series on Computational Intelligence (SSCI), 804-811, 2022
Zahteve: Luxembourg National Research Fund
Robustness of the multi-attribute utility model for bridge maintenance planning
ZA Bukhsh, I Stipanovic, SS Palic, G Klanker
The Baltic Journal of Road and Bridge Engineering 13 (4), 404-415, 2018
Zahteve: European Commission
Learning policies for resource allocation in business processes
J Middelhuis, RL Bianco, E Sherzer, Z Bukhsh, I Adan, R Dijkman
Information Systems 128, 102492, 2025
Zahteve: Netherlands Organisation for Scientific Research
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems
R Reijnen, Y Zhang, Z Bukhsh, M Guzek
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
Zahteve: Luxembourg National Research Fund
Deep multi-objective reinforcement learning for utility-based infrastructural maintenance optimization
J van Remmerden, M Kenter, DM Roijers, C Andriotis, Y Zhang, Z Bukhsh
Neural Computing and Applications, 1-24, 2025
Zahteve: Netherlands Organisation for Scientific Research
Providing decision support for transport infrastructure maintenance planning: Through application of multi-criteria and machine learning methods
ZA Bukhsh
University of Twente, 2019
Zahteve: European Commission
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