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• Saifullah Tumrani, Deng, Z., Lin, H., & Shao, J. (2020). Partial attention and multi-attribute learning for vehicle re-identification. Pattern Recognition Letters, 138, 290–297. doi:https://doi.org/10.1016/j.patrec.2020.07.034
• Saifullah Tumrani, Ali, W., Kumar, R., & Fayaz Ali Dharejo, A. A. K. (2022(under review)). View-aware attribute guided network for vehicle re-identification. Journal of Electronic Imaging.
• Heyat, M. B. B., Akhtar, F., Farooq, O., Saifullah Tumrani, Khan, H., & Lai, D. (2022-under review). Short time-frequency analysis of heart rate variability and power spectral density-based features for insomnia detection using machine learning classifier on ecg signal. Advanced Engineering Informatics.
• Md Belal Bin Heyat, Faijan Akhtar, Arshiya Sultana, Saifullah Tumrani(2022 under review), Role of Oxidative Stress and Inflammation in Insomnia Sleep Disorder and Cardiovascular Diseases: Herbal Antioxidants and Anti-inflammatory coupled with Insomnia Detection using Machine Learning in journal of Biomedical Science.
• Ali, W., Din, S. U., Khan, A. A., Saifullah Tumrani, Wang, X., & Shao, J. (2020). Context-aware collaborative filtering framework for rating prediction based on novel similarity estimation. Computers, Materials & Continua, 63(2), 1065–1078. doi:10.32604/cmc.2020.010017
• Khan, A. A., Shao, J., Ali, W., & Saifullah Tumrani. (2020). Content-aware summarization of broadcast sports videos: An audio–visual feature extraction approach. Neural Processing Letters, 52, 1945–1968. doi:https://doi.org/10.1007/s11063-020-10200-3
• Ali, W., Shao, J., Khan, A. A., & Saifullah Tumrani. (2019). Context-aware recommender systems: Challenges and opportunities. Journal of University of Electronic Science and Technology of China, 48, 655–673. doi:https://doi.org/10.1007/s11063-020-10200-3

Conferences Publications

• Saifullah Tumrani, Deng, Z., Khan, A. A., & Ali, W. (2020). Pevr: Pose estimation for vehicle re-identification. (pp. 69–78). doi:10.1007/978-3-030-33982-1_6
• Tumrani, S., Parivish, P., Khan, A. A., & Ali, W. (2021). Two stream pose guided network for vehicle re-identification. In 2021 3rd international conference on image processing and machine vision (ipmv) (pp. 11–16). New York, NY, USA: ACM. Retrieved from https://doi.org/10.1145/3469951.3469954
• Khan, A. A., Lin, H., Saifullah Tumrani, Wang, Z., & Shao, J. (2020). Detection and localization of scorebox in long duration broadcast sports videos. (Vol. 11574, p. 115740). doi:10.1117/12.2575834
• Javeed, A., Saifullah Tumrani, Shijie, Z., & Khan, A. A. (2019). A robust method for averting attack scenarios in location based services. (pp. 1–6). International Conference on Electrical, Communication, and Computer Engineering (ICECCE) 2019.
• Ali, W., Ali, N., Dai, Y., Kumar, J., Tumrani, S., & Xu, Z. (2021). Creating and evaluating resources for sentiment analysis in the low-resource language: Sindhi. In Proceedings of the eleventh workshop on computational approaches to subjectivity, sentiment and social media analysis (pp. 188–194). Online: Association for Computational Linguistics
• Ali, W., Kumar, R., Kumar, J., & and, S. T. (2021). A neural joint model for parts of speech tagging and entity extraction. In 13th international conference on machine learning and computing, icmlc 2021, shenzhen, china 2021.
• Abdullah Aman Khan, Saifullah Tumrani, Chunlin Jiang and Jie Shao, 2021. RICAPS: residual inception and cascaded capsule network for broadcast sports video classification. In Proceedings of the 2nd ACM International conference on Multimedia Asia (MMAsia ’20).