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Shirini, K., & Samadi Gharehveran, S. (2024). Balancing Time and Cost in Resource-Constrained Project Scheduling Using Meta-Heuristic Approach. Journal of Agricultural Machinery, 14(2). (ISC Q2).
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Taherihajivand, A., Shirini, K., & Samadi Gharehveran, S. (2024). Weed Detection in Fields Using Convolutional Neural Network Based on Deep Learning. Agricultural Engineering, 47(1), 129–142. (ISC Q2).
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Shirini, K., Taherihajivand, A., & Samadi Gharehveran, S. (2023). A Review of Algorithms for Solving the Project Scheduling Problem with Resource-Constrained Considering Agricultural Problems. Agricultural Mechanization, 8(1), 1–14. (ISC Q2).
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Shirini, K., Aghdasi, H. S., & Saeedvand, S. (2024). Modified Imperialist Competitive Algorithm for Aircraft Landing Scheduling Problem. The Journal of Supercomputing, 80(10), 13782–13812. (JCR Q2).
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Gheibi, Y., Shirini, K., Razavi, S. N., Farhoudi, M., & Samad-Soltani, T. (2023). CNN-Res: Deep Learning Framework for Segmentation of Acute Ischemic Stroke Lesions on Multimodal MRI Images. BMC Medical Informatics and Decision Making, 23(1), 192. (JCR Q1).
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Ahrari, M., Shirini, K., Gharehveran, S. S., Ahsaee, M. G., Haidari, S., & Anvari, P. (2024). A Security-Constrained Robust Optimization for Energy Management of Active Distribution Networks with Presence of Energy Storage and Demand Flexibility. Journal of Energy Storage, 84, 111024. (JCR Q1).
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Sattari, M. T., Shirini, K., & Javidan, S. (2024). 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, 4(2), 89–104. DOI: 10.22098/MMWS.2023.12434.1241. (ISC Q1).
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Sattari, M. T., Bagheri, R., Shirini, K., & Allahverdipour, P. (2024). Modeling Daily and Monthly Rainfall in Tabriz Using Ensemble Learning Models and Decision Tree Regression. Climate Change Research. DOI: 10.30488/CCR.2024.433394.1192. (ISC Q1).
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Shirini, K., Aghdasi, H. S., & Saeedvand, S. (2024). A Comprehensive Survey on Multiple-Runway Aircraft Landing Optimization Problem. International Journal of Aeronautical and Space Sciences, 25(4), 1574–1602.
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Gharehveran, S. S., Shirini, K., Khavar, S. C., Mousavi, S. H., & Abdollahi, A. (2024). Deep Learning-Based Demand Response for Short-Term Operation of Renewable-Based Microgrids. The Journal of Supercomputing, 80(18), 26002–26035. (JCR Q2).
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Shirini, K., Aghdasi, H. S., & Saeedvand, S. (2024). Multi-Objective Aircraft Landing Problem: A Multi-Population Solution Based on Non-Dominated Sorting Genetic Algorithm-II. The Journal of Supercomputing, 80(17), 25283–25314. DOI: 10.1007/s42405-024-00747-z. (JCR Q2).
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Zahiri, M., Shirini, K., & Samadi Gharehveran, S. (2024). Network Traffic Analysis with Machine Learning for Faster Detection of Distributed Denial of Service Attack. Journal of Advanced Defense Science & Technology, 14(4), 273–282. (ISC Q2).
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Golzari, A., Abdolmaleki, N., Shirini, K., Bouyer, A., & Arasteh, B. (2025). Efficient Superpixel-Based Brain MRI Segmentation Using Multi-Scale Morphological Gradient Reconstruction and Quantum Clustering. Biomedical Signal Processing and Control, 100, 107063. (JCR Q1).
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Taherihajivand, A., Shirini, K., & Samadi Gharehveran, S. (2024). An Overview of Product Performance Prediction Using Artificial Algorithms. Journal of Agricultural Mechanization, 9(3), 1–14. (ISC Q2).
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Shirini, K., Kordan, M. B., & Gharehveran, S. S. (2025). Impact of Learning Rate and Epochs on LSTM Model Performance: A Study of Chlorophyll-a Concentrations in the Marmara Sea. The Journal of Supercomputing, 81(1), 265. (JCR Q2).
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Zaki Dizaji, H., Shirini, K., Taheri Hajivand, A., & Monjezi, N. (2024). Modelling Variables Affecting the Yield of Sugarcane Fields Using Deep Recurrent Neural Network. Iranian Journal of Biosystems Engineering, 55(2), 93–108. (ISC Q1).
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Saeedi, N., Shirini, K., Gharehveran, S. S., Pedrammehr, S. R. S., et al. (2026). Depression Detection Using Cross-Attention Multimodal Fusion on Audio-Visual Data. International Work-Conference on the Interplay Between Natural and Artificial Computation / Artificial Intelligence for Neuroscience, Mental Health, and ….
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Emami, M., Salehbagheri, N., Rajebi, S., Pedrammehr, S., & Shirini, K. (2026). Design and Implementation of a Hybrid Machine Learning Framework for Predicting Heart Rate Status. Scientific Reports. (JCR Q1).
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Salehi, M., Taheri Hajivand, A., & Shirini, K. (2026). The NSGA-II Ministry of Industry and Information Technology (MOPSO) … Agricultural Information Sciences and Technology, 9(1), 13–24. (ISC).
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Nekahdari, A., Kouzehkonani, E. D., Saeedi, N., Shirini, K., & Gharehveran, S. S. (2026). Multi-Task Procedural Content Generation with Reinforcement Learning. Scientific Reports. (JCR Q1).
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Maleknya, K., Alizadehsani, R., Pedrammehr, S., & Shirini, K. (2026). A Solid Waste Classification Using Reinforcement Learning Boosted by Data Augmentation and Hyperparameter Optimization. Scientific Reports. (JCR Q1).
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Baharvand, D., Saeedi, N., Gharehveran, S. S., & Shirini, K. (2026). A Deep Generative Approach to Personalized Super Mario Level Design. Scientific Reports. (JCR Q1).
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Gharehveran, S. S., Shirini, K., Sarhangzadeh, M., & Gholinavaz, S. (2026). A Review of Game Theory-Based Approaches for Demand Side Management in Smart Energy Grids. Power, Control, and Data Processing Systems, 3(1), 28–37.
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Rajebi, S., Pedrammehr, S., & Shirini, K. (2026). Hybrid Intelligent Optimization of a Circularly Polarized Microstrip Antenna Array for Safe and Effective Hyperthermia Cancer Therapy. Scientific Reports. (JCR Q1).
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Akan, T., Zálabský, T., Shirini, K., Ramos-Frutos, J., Oliva, D., Bhuiyan, M. A., et al. (2026). Battle Royale Optimizer with Ring Neighborhood Topology. ICCK Transactions on Swarm and Evolutionary Learning, 2(1), 19–40.
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Hayati, A., Gharehveran, S. S., & Shirini, K. (2026). Electricity Price Forecasting with Ensemble Meta-Models and SHAP Explainers: A PCA-Driven Approach. Scientific Reports, 16(1), 6466. (JCR Q1).
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Samadi Gharehveran, S., Najafpour, N., & Shirini, K. (2025). 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, 12(3), 1–11.
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Nemati, R., Shirini, K., & Gharehveran, S. S. (2025). FER-HA: A Hybrid Attention Model for Facial Emotion Recognition. The Journal of Supercomputing, 81(16), 1485. (JCR Q1).
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Samadi Gharehveran, S., & Shirini, K. (2025). A Review of Resilient-Oriented Operation Strategies of Electrical Energy Distribution Networks in Critical Situations. Passive Defense, 17(2), 1–17. (ISC).
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Saeedi, N., Baharvand, D., Shirini, K., & Gharehveran, S. S. (2025). Prediction of Electrical Energy Consumption Using Principal Component Analysis and Independent Components Analysis. The Journal of Supercomputing, 81(9), 1072. (JCR Q1).
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Ramesh, S., Farook, T., Ahmed, S., Ogeawuchi, C., Olutimehin, T., Zhu, B., et al. (2025). Evaluating the Effectiveness of AI-Driven Cybersecurity Solutions in Reducing False Positives and Accelerating IT Program Timeline Adherence.
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Taherihajivand, A., Shirini, K., & Samadi Gharehveran, S. (2025). Application of the Internet of Things in Agriculture to Diagnose Plant Diseases. The Journal of Agricultural Information Sciences and Technology (JAIST), 8(2). (ISC).
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Gharehveran, S. S., Shirini, K., Khavar, S. C., & Abdollahi, A. (2025). Optimizing Day-Ahead Power Scheduling: A Novel MIQCP Approach for Enhanced SCUC with Renewable Integration. e-Prime: Advances in Electrical Engineering, Electronics and Energy, 12, 101022. (JCR Q1).
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Gharehveran, S. S., Shirini, K., & Abdollahi, A. (2025). Optimizing Energy Storage Solutions for Grid Resilience: A Comprehensive Overview. In Energy Storage Devices – A Comprehensive Overview.
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Tan, J., Radhi, R. M., Shirini, K., Gharehveran, S. S., Parisooz, Z., Khosravi, M., et al. (2025). Innovative Framework for Fault Detection and System Resilience in Hydropower Operations Using Digital Twins and Deep Learning. Scientific Reports, 15(1), 15669. (JCR Q1).
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Saeedi, N., Gholinavaz, S., Samadi Gharehveran, S., Shirini, K., et al. (2026). RAVA: A Robust Recurrent Active Vision Agent for Plant Disease Diagnosis Under Severe Environmental Noise. Scientific Reports. (JCR Q1).
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Baharvand, D., Jodati, F., Shirini, K., & Gharehveran, S. S. (2026). Impact of Simulated Glasses Noise on Facial Emotion Recognition with Deep Learning Models. Scientific Reports. (JCR Q1).
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Farshbaf, S. M., Shirini, K., Gharehveran, S. S., & Abdollahi, A. (2026). Reducing Phase Lag and Noise in Residential Load Forecasting with a Hybrid Residual-Attention Model. Algorithms, 19(8), 661.
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Jabbarzadeh, M. H., Mehralizadeh, D., Shirini, K., & Gharehveran, S. S. (2026). A Hybrid Approach to Reinforcement Learning: Combining Soft Updating and Frame Stacking for Stable Training in Flappy Bird and CartPole. The Journal of Supercomputing, 82(8), 503.
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Shirini, K., Gharehveran, S. S., Rajebi, S., Pedrammehr, S., Alizadehsani, R., et al. (2026). A Bio-Inspired Cross-Modal Attention Framework for Robust Multimodal Multimedia Perception. International Work-Conference on the Interplay Between Natural and Artificial Computation.
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Memarpour, B., Memarpour, K., Shirini, K., Gharehveran, S. S., Pedrammehr, S., et al. (2026). Graph-Aware Reinforcement Learning for Adaptive APT Threat Hunting in Dynamic Enterprise Networks. Technologies.
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Zadehasan, N., Partonia, S., Shirini, K., & Samadi Gharehveran, S. (2026). Intrusion Detection in Computer Networks Based on MLP Multilayer Neural Network. Electronic and Cyber Defense, e211113.
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Saeedi, N., Shirini, K., Gharehveran, S. S., Rajebi, S., Pedrammehr, S., et al. (2026). Depression Detection Using … Artificial Intelligence for Neuroscience, Mental Health, and ….
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Taheri Hajivand, A., Shirini, K., Salehi, M., & Meshkini, A. (2024). A Review of Artificial Intelligence Optimization Algorithms in Scheduling Problems With Constrained Resources in Mechanization. 9th Advanced Engineering Days.
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Taheri Hajivand, A., Shirini, K., & Samadi Ghareveran, S. (2024). Smart Agriculture: Leveraging Information Technology and Human Expertise for Sustainable Farming. 9th Advanced Engineering Days (AED).
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Shirini, K., Taheri Hajivand, A., & Samadi Ghareveran, S. (2024). A Novel Deep Learning-Based Method for Potato Leaf Disease Classification. 9th Advanced Engineering Days, 462–464.
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Shirini, K., Vash, F., Lili, & Ahmadi, M. (2019). Detection of the Speed of Moving Cars. The First National Conference on Soft Computing and Cognitive Sciences, Minodasht. https://civilica.com/doc/157690
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Shirini, K., & Ahmadi, M. (2019). Presenting a Smart Method for Lung Cancer Diagnosis Using Support Vector Machine Classification Algorithm. The First National Conference on Soft Computing and Cognitive Sciences, Minodasht. https://civilica.com/doc/1576909
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Madirorusta, M. H., Shirini, K., & Ahmadiganji, M. (2021). Breast Cancer Diagnosis Using Supervised Deep Learning Method (UNET). The 11th National Conference on Electrical, Computer and Mechanical Engineering, Shirvan. https://civilica.com/doc/1249211
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Shirini, K., Madirorusta, M. H., Dehghani, R., & Ahmadiganji, M. (2019). Presenting an Intelligent Method to Detect Spots in the Lung Using Support Vector Machine Classification Algorithm for the Diagnosis of COVID-19 Disease. The 4th International Conference on Interdisciplinary Research in Electrical, Computer, Mechanical and Mechatronic Engineering in Iran and the Islamic World, Tehran. https://civilica.com/doc/1184135
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Shirini, K., Hashem Pourghazani, F., & Aghdasi Alamdari, S. H. (2018). Counting Moving Vehicles in Video Images. The Second National Conference on Interactive Information Retrieval, Tehran. https://civilica.com/doc/952724
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Shirini, K., & Ahmadiganji, M. (2019). Designing a Model to Predict the Price of Gold Using Genetic Algorithm and Artificial Neural Networks. The First National Conference on Soft Computing and Cognitive Sciences, Minodasht. https://civilica.com/doc/1576926
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Shirini, K., Roshan Zamir, N., Ahmadiganji, M., & Feizi-Derakhshi, M. R. (2019). Improving Gender Recognition Using Fingerprint with SVM, KNN, and Decision Tree. The Third National Conference on Computer, Information Technology and Artificial Intelligence Applications, Ahvaz. https://civilica.com/doc/1015568
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Qasab Saheb, M., Khair, A. M., & Shirini, K. (2024). Machine Learning in Data Analysis. The 16th International Conference on Data Envelopment Analysis and Decision Sciences, Tonekabon. https://civilica.com/doc/2228957