{"id":66,"date":"2023-02-18T22:45:37","date_gmt":"2023-02-18T22:45:37","guid":{"rendered":"https:\/\/sites.wp.odu.edu\/smartlab\/?page_id=66"},"modified":"2025-11-21T17:27:17","modified_gmt":"2025-11-21T17:27:17","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.wp.odu.edu\/smartlab\/publications\/","title":{"rendered":"PUBLICATIONS"},"content":{"rendered":"\n

2026<\/strong><\/p>\n\n\n\n

Farshid Javednejad, Hawaii International Conference on Systems Science<\/p>\n\n\n\n

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2025<\/strong><\/p>\n\n\n\n

Enguita, S.P.; Jiang, J.; Chen, C.-H.; Kovacic, S.; Lebel, R. Potential of LiDAR and Hyperspectral Sensing for Overcoming Challenges in Current Maritime Ballast Tank Corrosion Inspection. Electronics 2025, 14, 3065. https:\/\/doi.org\/10.3390\/electronics14153065<\/p>\n\n\n\n

Khallouli, W., Li, J., Huang, J., Rabadi, G., & Kovacic, S. F. (2025). An integrated machine learning approach for identifying emergency rescue messages on social media during natural disasters<\/em>. Social Network Analysis and Mining, 15(1), 50.<\/p>\n\n\n\n

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2024<\/strong><\/p>\n\n\n\n

Pallas Enguita, S.; Chen, C.-H.; Kovacic, S. A Review of Emerging Sensor Technologies for Tank Inspection: A Focus on LiDAR and Hyperspectral Imaging and Their Automation and Deployment. Electronics 2024, 13, 4850. https:\/\/doi.org\/10.3390\/electronics13234850<\/p>\n\n\n\n

Khallouli, W., Uddin, M. S., Sousa-Poza, A., Li, J., & Kovacic, S. F. (2024). Leveraging transformer-based OCR model with generative data augmentation for engineering document recognition<\/em>. Electronics, 14(1), 5.<\/p>\n\n\n\n

Uddin, M. S., Khallouli, W., Sousa-Poza, A., & Kovacic, S. F. (2024, September). A generative approach for document enhancement with small unpaired data<\/em>. MDPI.<\/p>\n\n\n\n

Ghavidel, A., Park, H. J., Kovacic, S. F., & Sousa-Poza, A. (2024). A new predictive maintenance approach: Novel integration of GMM-LSTM for prediction of latent state and failure location of rotating machinery<\/em>. 19th Annual System of Systems Engineering Conference (SoSE), 50\u201356.<\/p>\n\n\n\n

Javadnejad, F., Park, H. J., Kovacic, S. F., & Sousa-Poza, A. (2024). A novel BiGMM-HMM framework for predictive maintenance in naval vessel propulsion equipment<\/em>. 19th Annual System of Systems Engineering Conference (SoSE), 116\u2013123.<\/p>\n\n\n\n

Saeidi, A., Tippannavar, S., & Kovacic, S. F. (2024). Transformation through technology: Assessing the feasibility of digital ecosystems using MBSE<\/em>. 19th Annual System of Systems Engineering Conference (SoSE), 197\u2013201.<\/p>\n\n\n\n

Mohanty, J., Yalim, C., Kovacic, S. F., & Handley, H. H. (2024). A natural language processing-based approach to automate the maintenance work order prioritization process: Understanding sentiments in context-aware systems<\/em>. 26th Annual Systems and Mission Engineering Conference, National Defense Industry Association. Zenodo:14767863.<\/p>\n\n\n\n

Yalim, C., Mohanty, J., Kovacic, S. F., & Handley, H. H. (2024). Automated prioritization of maintenance work orders: A sentiment analysis approach using natural language processing<\/em>. Fleet Maintenance & Modernization Symposium, American Society of Naval Engineering.<\/p>\n\n\n\n

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2023<\/strong><\/p>\n\n\n\n

Kovacic, S. F., Canan, M., Li, J., & Sousa-Poza, A. (2023, October). Digital engineering implications on decision-making processes<\/em>. In Systems Engineering for the Digital Age: Practitioner Perspectives<\/em>.<\/p>\n\n\n\n

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2022<\/strong><\/p>\n\n\n\n

Sadri, N., Desir, J., Khallouli, W., Uddin, M. S., Kovacic, S. F., Sousa-Poza, A., et al.<\/em> (2022). Image enhancement for improved OCR and deck segmentation in shipbuilding document images<\/em>. IEEE UEMCON.<\/p>\n\n\n\n

Khallouli, W., Pamie-George, R., Kovacic, S. F., Sousa-Poza, A., Canan, M., & Li, J. (2022). Leveraging transfer learning and GAN models for OCR from engineering documents<\/em>. IEEE World AI IoT Congress.<\/p>\n\n\n\n

He, J., Uddin, M. S., Canan, M., Sousa-Poza, A., Kovacic, S. F., & Li, J. (2022). Ship deck segmentation using an attention-based generative adversarial network<\/em>. IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Systems International Conference (UEMCON).<\/p>\n\n\n\n

Canan, M., Demir, M., & Kovacic, S. F. (2022). A probabilistic perspective of human-machine interaction<\/em>. 55th Hawaii International Conference on System Sciences.<\/p>\n","protected":false},"excerpt":{"rendered":"

2026 Farshid Javednejad, Hawaii International Conference on Systems Science 2025 Enguita, S.P.; Jiang, J.; Chen, C.-H.; Kovacic, S.; Lebel, R. Potential of LiDAR and Hyperspectral Sensing for Overcoming Challenges in Current Maritime Ballast Tank Corrosion Inspection. Electronics 2025, 14, 3065. https:\/\/doi.org\/10.3390\/electronics14153065 Khallouli, W., Li, J., Huang, J., Rabadi, G., & Kovacic, S. F. (2025). An […]<\/p>\n","protected":false},"author":26318,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/sites.wp.odu.edu\/smartlab\/wp-json\/wp\/v2\/pages\/66"}],"collection":[{"href":"https:\/\/sites.wp.odu.edu\/smartlab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.wp.odu.edu\/smartlab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/smartlab\/wp-json\/wp\/v2\/users\/26318"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/smartlab\/wp-json\/wp\/v2\/comments?post=66"}],"version-history":[{"count":5,"href":"https:\/\/sites.wp.odu.edu\/smartlab\/wp-json\/wp\/v2\/pages\/66\/revisions"}],"predecessor-version":[{"id":486,"href":"https:\/\/sites.wp.odu.edu\/smartlab\/wp-json\/wp\/v2\/pages\/66\/revisions\/486"}],"wp:attachment":[{"href":"https:\/\/sites.wp.odu.edu\/smartlab\/wp-json\/wp\/v2\/media?parent=66"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}