Agouzoul, N., Oukennou, A., Elmariami, F., Ebeed, M., Boukherouaa, J., Gadal, R., ... & A. Mohamed, E. (2025). Optimization the stochastic optimal reactive power dispatch with renewable energy resources using a modified dandelion algorithm. Plos one, 20(7), e0328170.
Auza, A., Asadi, E., Chenari, B., & Gameiro da Silva, M. (2023). A systematic review of uncertainty handling approaches for electric grids considering electrical vehicles. Energies, 16(13), 4983.
Chen, J., Ou, P., Chang, Y., Zhang, H., Li, X. Y., Sargent, E. H., & Chen, W. (2026). Materials Discovery Using Uncertainty-Aware Constrained Bayesian Optimization With Representation Learning of High-Dimensional Inputs. Journal of Mechanical Design, 148(2), 021707.
Chilkoti, V. (2019). Impacts of climate change on hydropower generation and developing adaptation measures through hydrologic modeling and multi-objective optimization (Doctoral dissertation, University of Windsor (Canada)).
Debbarman, S., Namrata, K., Samadhiya, A., Azar, A. T., Ahmed, S., Mahlous, A. R., & El-Shafai, W. (2025). Modified cheetah optimizer for optimal techno-economic placement of distributed energy source planning. Discover Sustainability, 6(1), 1120.
Ding, Y., Jiang, W., Lou, Q., Liu, J., Xiong, J., Hu, X. S., ... & Shi, Y. (2020). Hardware design and the competency awareness of a neural network. Nature Electronics, 3(9), 514-523.
Franchi, G., Bursuc, A., Aldea, E., Dubuisson, S., & Bloch, I. (2021). One versus all for deep neural network for uncertainty (ovnni) quantification. IEEE Access, 10, 7300-7312.
Ghasemi, F., & Keihani, H. (2025). Application of machine learning and data science in project construction scheduling. International journal of sustainable applied science and engineering, 2(2), 39-52.
Ghasemi, F., Khadem, M., & Chobar, A. P. (2023). Supplier Selection for Supply Chain by Risk-Averse Decision Maker with Multi-Criteria Decision Making. International journal of industrial engineering and operational research, 5(3), 50-62.
Ghasemi, P., Ali, S. M., Abolghasemian, M., Malakoot, R. A., & Chobar, A. P. (2025). A stochastic sustainable Closed-Loop Supply Chain Networks for used solar photovoltaic systems: Meta-heuristic comparison and real case study. Sustainable Operations and Computers, 6, 15-33.
Giannelos, S., Pudjianto, D., Zhang, T., & Strbac, G. (2025). Energy hub operation under uncertainty: Monte Carlo risk assessment using gaussian and KDE-based data. Energies, 18(7), 1712.
Hai, T., Basem, A., Alizadeh, A. A., Singh, P. K., Rajab, H., Maatki, C., ... & Maleki, H. (2025). Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy. Scientific Reports, 15(1), 1986.
Haugen, M., Farahmand, H., Jaehnert, S., & Fleten, S. E. (2023). Representation of uncertainty in market models for operational planning and forecasting in renewable power systems: a review. Energy Systems, 1-36.
Keihani, H. (2025). Simulation-based on multi-objective optimization in complex system: A meta-modeling approach. Complexity Analysis and Applications, 2(1), 25-38.
Keihani, H. (2025). Transitioning corporate models and processes towards sustainable practices and adopting a circular economy approach. Global Business Management and Economics (JGBME), 2(1), 10.
Liu, G., Zeng, H., Mueller, J., Carter, B., Wang, Z., Schilz, J., ... & Gifford, D. K. (2020). Antibody complementarity determining region design using high-capacity machine learning. Bioinformatics, 36(7), 2126-2133.
Monego, V. S., Anochi, J. A., & de Campos Velho, H. F. (2026). A machine learning algorithm for uncertainty quantification in climate precipitation prediction over South America, Computational and Applied Mathematics, 45(2), 76.
Nozari, H. (2025). NeuroTwinceutics™ as a Neuromorphic Digital Twin Model for Predictive and Personalized Pharmacotherapy. Transformative Science, 1(1), 1-8.
Nozari, H., Rahmaty, M., Foukolaei, P. Z., Movahed, H., & Bayanati, M. (2025). Optimizing Cold Chain Logistics with Artificial Intelligence of Things (AIoT): A Model for Reducing Operational and Transportation Costs. Future Transportation, 5(1), 1.
Pietrantuono, R., Potena, P., Pecchia, A., Rodriguez, D., Russo, S., & Fernández-Sanz, L. (2017). Multiobjective testing resource allocation under uncertainty. IEEE Transactions on Evolutionary Computation, 22(3), 347-362.
Roudaki, M., Pourghader Chobar, A., Nagahi, A., Keihani, H., & Alamiparvin, R. (2025). Evaluation of supply chain performance using combination of DEA and fuzzy TOPSIS: A case from Iranian electric industry. Journal of industrial engineering and management studies, 12(1), 114-124.
Wang, X., Hu, R., & Xue, C. (2024). Enhancing User Perception of Reliability in Computer Vision: Uncertainty Visualization for Probability Distributions. Symmetry, 16(8), 986.
Zende, R., & Pawade, R. (2025). Optimization of uncertainty in hole diameter measurements using a novel approach of ANN-regression-WASPAS. International Journal on Interactive Design and Manufacturing (IJIDeM), 19(3), 1687-1708.
Zhong, J., Li, Y., Cao, Y., Tan, Y., Peng, Y., Zhou, Y., ... & Li, Z. (2022). Robust coordinated optimization with adaptive uncertainty set for a multi-energy microgrid. IEEE Transactions on Sustainable Energy, 14(1), 111-124.
Zhou, S., Zhang, J., Zhang, Q., Huang, Y., & Wen, M. (2022). Uncertainty theory-based structural reliability analysis and design optimization under epistemic uncertainty. Applied Sciences, 12(6), 2846.