- G. Oskouei, N. Abdolmaleki, A. Bouyer, B. Arasteh, and K. Shirini, “Efficient Superpixel-based Brain MRI Segmentation Using Multi-scale Morphological Gradient Reconstruction and Quantum Clustering,”Biomedical Signal Processing and Control, vol. 100, p. 107063, 2025. doi: 10.1016/j.bspc.2024.107063.
- Napa, M. K. Agrawal, B. Tamma, “Development of Electro-thermal Model for Air Cooling Study of Electric Vehicle Lithium-ion Battery Module Operating in Indian Conditions and Drive Cycle” Applied Thermal Engineering, Vol. 240, 122233, 2024. https://doi.org/10.1016/j.applthermaleng.2023.122233
- Shirini, M. B. Kordan, and S. S. Gharehveran, “Impact of Learning Rate and Epochs on LSTM Model Performance: A Study of Chlorophyll-a Concentrations in the Marmara Sea,”Journal of Supercomputing, vol. 81, p. 265, 2025. https://doi.org/10.1007/s11227-024-06806-2
- S. Gharehveran, K. Shirini, S. C. Khavar,et al., “Deep Learning-based Demand Response for Short-term Operation of Renewable-based Microgrids,”Journal of Supercomputing, vol. 80, pp. 26002–26035, 2024. https://doi.org/10.1007/s11227-024-06407-z
- Shirini, H. S. Aghdasi, and S. Saeedvand, “Multi-objective Aircraft Landing Problem: A Multi-population Solution Based on Non-dominated Sorting Genetic Algorithm-II,”Journal of Supercomputing, vol. 80, pp. 25283–25314, 2024. https://doi.org/10.1007/s11227-024-06385-2
- Shirini, H. S. Aghdasi, and S. Saeedvand, “A Comprehensive Survey on Multiple-runway Aircraft Landing Optimization Problem,”International Journal of Aeronautical and Space Sciences, vol. 25, no. 4, pp. 1574–1602, 2024. https://doi.org/10.1007/s42405-024-00747-z
- Taherihajivand, A. , Shirini, K. and Samadi Gharehveran, S. (2024). An Overview of Product Performance Prediction Using Artificial Algorithms. Journal of Agricultural Mechanization, 9(3), 1-14. doi: 10.22034/jam.2024.61899.1276
- Samadi Gharehveran, S., N. Najafpour, and K. Shirini, “A Hybrid Approach for Vehicle Detection and Tracking in Low-Visibility Conditions Based on AWBLP, YOLOv8, and GM-PHD Algorithms,” Journal of Machine Vision and Image Processing, pp. 1–11, 2025 (In Persian).
- Scrosati, J. Hassoun, Y. K. Sun, “Lithium-ion batteries. A look into the future”, Energy & Environmental Science, Vol. 4, No. 9, pp. 3287-3295, 2011. https://doi.org/10.1039/C1EE01388B
- C. Smart, B. V. Ratnakumar, L. D. Whitcanack, F. J. Puglia, S. Santee, R. Gitzendanner, “Life Verification of Large Capacity Yardney Li-ion Cells and Batteries in Support of NASA Missions”, International Journal of Energy Research, Vol. 34, No. 2, pp. 116-132, 2010. https://doi.org/10.1002/er.1653
- Shirini, H. S. Aghdasi, and S. Saeedvand, “Modified Imperialist Competitive Algorithm for Aircraft Landing scheduling problem,” Journal of Supercomputing, vol. 80, pp. 13782–13812, 2024. https://doi.org/10.1007/s11227-024-05999-w
- Zaki Dizaji, K. Shirini, A. Taheri Hajivand, and N. Monjezi, “Modelling Variables Affecting the Yield of Sugarcane Fields Using Deep Recurrent Neural Network,”Iranian Journal of Biosystems Engineering, vol. 55, no. 2, pp. 93–108, 2024. doi: 10.22059/ijbse.2025.378958.665557
- Shirini and S. Samadi Gharehveran, “Balancing Time and Cost in Resource-Constrained Project Scheduling Using Meta-Heuristic Approach,”Journal of Agricultural Machinery, vol. 14, no. 2, 2024. https://doi.org/10.22067/jam.2023.81735.1157
- Mirsadeghi and R. Ghaffarpour, "Improving the Resilience of Power Grids in the Face of Focused Attacks Using the Contingency Analysis," Passive Defense, vol. 13, no. 3, pp. 1-10, 2022 (In Persian). 20.1001.1.20086849.1401.13.3.1.8
- Feng, J. Sun, M. Ouyang, F. Wang, X. He, L. Lu, H. Peng, “Characterization of Penetration Induced Thermal Runaway Propagation Process Within a Large Format Lithium-ion Battery Module”, Journal of Power Sources, Vol. 275, pp. 261-273, 2015. https://doi.org/10.1016/j.jpowsour.2014.11.017
- Ghaffarpour and S. Zamanian, "The Coordinated Scheduling of Emerging Energy Resources to Improve the Resilience of Island Microgrids with a Two-Stage Decision-Making Approach," Passive Defense, vol. 12, no. 3, pp. 37-46, 2021(In Persian). doi: 10.1109/PD.2021.2965978.
- M. T. Sattari, K. Shirini, and S. Javidan, “Evaluating the Efficiency of Dimensionality Reduction Methods in Improving the Accuracy of Water Quality Index Modeling in Qizil-Uzen River Using Machine Learning Algorithms,”Water and Soil Management and Modelling, vol. 4, no. 2, pp. 89–104, 2024.doi: 10.22098/mmws.2023.12434.1241
- J. Kelly, M. Mihalic, M. Zolot, “Battery Usage and Thermal Performance of the Toyota Prius and Honda Insight During Chassis Dynamometer Testing”, Annual Battery Conference on Applications and Advances, Proceedings of Conference, pp. 247-252, 2002. doi: 10.1109/BCAA.2002.986408.
- Taheri Hajivand, K. Shirini, and S. Samadi Gharehveran, “Weed Detection in Fields Using Convolutional Neural Network Based on Deep Learning,”Agricultural Engineering, vol. 47, no. 1, pp. 129–142, 2024. doi: 10.22055/agen.2024.45327.1688
- Ahrari, K. Shirini, S. S. Gharehveran, M. G. Ahsaee, S. Haidari, and P. Anvari, “A Security-constrained Robust Optimization for Energy Management of Active Distribution Networks with Presence of Energy Storage and Demand Flexibility,”Journal of Energy Storage, vol. 84, p. 111024, 2024. https://doi.org/10.1016/j.est.2024.111024
- Zahiri, K. Shirini, and S. Samadi Gharehveran, “Network Traffic Analysis with Machine Learning for Faster Detection of Distributed Denial of Service Attack,”Journal of Advanced Defense Science & Technology, 2024.
- Samadi Gharehveran, S., “A Review of Energy Management of Multi-microgrid Power Systems in the Presence of Uncertainty of Distributed Generation Resources,” Power, Control, and Data Processing Systems, vol. 2, no. 4, pp. 46–58, 2025. https://doi.org/30511/pcdp.2025.2072671.1046
- Gheibi, K. Shirini, S. N. Razavi,et al., “CNN-Res: Deep Learning Framework for Segmentation of Acute Ischemic Stroke Lesions on Multimodal MRI Images,”BMC Medical Informatics and Decision Making, vol. 23, p. 192, 2023. https://doi.org/10.1186/s12911-023-02289-y
- Shirini, A. Taheri Hajivand, and S. Samadi Gharehveran, “A Review of Algorithms for Solving the Project Scheduling Problem with Resource-constrained Considering Agricultural Problems,”Journal of Agricultural Mechanization, vol. 8, no. 1, pp. 1–14, 2023. doi: 10.22034/jam.2023.55751.1227
- F. da Silva, J. J. Eckert, F. L. Silva, L. C. Silva, F. G. Dedini, "Multi-objective Optimization Design and Control of Plug-in Hybrid Electric Vehicle Powertrain for Minimization of Energy Consumption, Exhaust Emissions and Battery Degradation," Energy Conversion and Management, vol. 234, pp. 113909, 2021. https://doi.org/10.1016/j.enconman.2021.113909
- Gholinavaz, S., N. Saeedi, and S. S. Gharehveran, “Robustness Analysis of YOLO and Faster R-CNN for Object Detection in Realistic Weather Scenarios with Noise Augmentation,” Scientific Reports, vol. 15, p. 44888, 2025. https://doi.org/10.1038/s41598-025-28737-5
- F. da Silva, J. J. Eckert, F. L. Silva, L. C. Silva, and F. G. Dedini, "Multi-objective Optimization Design and Control of Plug-in Hybrid Electric Vehicle Powertrain for Minimization of Energy Consumption, Exhaust Emissions, and Battery Degradation," Energy Conversion and Management, vol. 234, pp. 113909, 2021. https://doi.org/10.1016/j.enconman.2021.113909
- S. Gharehveran, K. Shirini, and A. Abdolahi, “Optimizing Energy Storage Solutions for Grid Resilience: A Comprehensive Overview,” 2025. https://doi.org/ 10.5772/intechopen.1006499
- Deb, K.; Jain, H. “An Evolutionary Many-objective Optimization Algorithm Using Reference-point-based Nondominated Sorting approach, Part I: Solving Problems with Box Constraints”: IEEE transactions on evolutionary computation, Vol. 18(4), pp. 577-601, 2023. doi: 10.1109/TEVC.2013.2281535
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