Zaharah Allah Bukhsh
Orcid: 0000-0003-3037-8998
According to our database1,
Zaharah Allah Bukhsh authored at least 25 papers
between 2015 and 2026.
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Bibliography
2026
Prefix-Aware Deep Reinforcement Learning for Resource Allocation in Business Processes.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026
2025
A maintenance planning framework using online and offline deep reinforcement learning.
Neural Comput. Appl., July, 2025
A Rollout-Based Algorithm and Reward Function for Efficient Resource Allocation in Business Processes.
CoRR, April, 2025
Proceedings of the Enterprise Design, 2025
A Rollout-Based Algorithm and Reward Function for Resource Allocation in Business Processes.
Proceedings of the Business Process Management Forum - BPM 2025 Forum, Seville, Spain, August 31, 2025
2024
Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning.
CoRR, 2024
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking.
CoRR, 2024
Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning.
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024
Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning.
Proceedings of the Business Process Management - 22nd International Conference, 2024
2023
Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI.
CoRR, 2023
Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning.
CoRR, 2022
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
2021
Neural Comput. Appl., 2021
CoRR, 2021
2020
A systematic literature review on requirement prioritization techniques and their empirical evaluation.
Comput. Stand. Interfaces, 2020
2017
How to Manage and Model Unstructured Business Processes: A Proposed List of Representational Requirements.
Proceedings of the E-Business and Telecommunications - 14th International Joint Conference, 2017
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications (ICETE 2017), 2017
2015
SOA and EDA: A Comparative Study - Similarities, Differences and Conceptual Guidelines on their Usage.
Proceedings of the ICE-B 2015, 2015