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M. Shabnam, "Feature evaluation of emerging e-learning systems using machine learning: An extensive survey", IEEE Access. Volume 9. 69573-69587. 2021.
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"A Novel Energy and Communication Aware Scheduling on Green Cloud Computing.", Computers, Materials and Continua. Volume 77. Issue 3. 2791. 2023.
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M. Shabnam, "RANet: a custom CNN model and quanvolutional neural network for the automated detection of rheumatoid arthritis in hand thermal images", Scientific Reports. Volume 13. Issue 2023. 15638 (2023). 2023.
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M. Shabnam, "Automated Detection of Retinopathy of Prematurity Using Quantum Machine Learning and Deep Learning Techniques", IEEE Access. Volume 11. 94306-94321. 2023.
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M. Shabnam, "Spam Email Detection Using Machine Learning Integrated In Cloud", IEEE Explorer. 2023.
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M. Shabnam, "An intelligent disease prediction and monitoring system using feature selection, multi-neural network and fuzzy rules", Neural Computing and Applications. Volume 34. Issue 22. 19877-19893. 2022.
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M. Shabnam, "Two-Tier Clustering with Routing Protocol for IoT Assisted WSN.", Computers, Materials and Continua. Volume 71. Issue 2. 3375-3392. 2022.
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M. Shabnam, "Modeling of Optimal Bidirectional LSTM Based Human Motion Recognition for Virtual Reality Environment", Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications, Springer International publishing. 161-174. 2022.
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M. Shabnam, "Automated system for classification of COVID-19 infection from lung CT images based on machine learning and deep learning techniques", Scientific Reports. Volume 12. Issue 1. 17417 (2022). 2022.
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M. Shabnam, "A solution for Social Education - Free Open source software technique through e- learning framework", Webology. Volume 18. Issue Special Issue. 686-703. 2021.
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"Automatic Cloud-Based Digital Forensics Artefacts Categorization", Journal of Engineering and Applied Sciences. Volume 8. Issue 2. 45-53. 2021.
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M. Shabnam, "Research Article A Computer-Aided Diagnosis System Using Deep Learning for Multiclass Skin Lesion Classification", Computational Intelligence and Neuroscience. Volume 2021. 1-15. 2021.
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M. Shabnam, "F-Net: Follicles Net an efficient tool for the diagnosis of polycystic ovarian syndrome using deep learning techniques", PLOS One. Volume 19. Issue 8. e0307571.. 2024.
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M. Shabnam, "Generative Artificial Intelligence for the Automated Generation of Medical Reports: A Modified Poor and Rich Optimization (MPRO)-Based Approach.", Traitement du signal. Volume 42. Issue 1. 409-422. 2025.
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