Publikasi Artikel Ilmiah
- Mansur As, Tsunenori Empirical study of travel time variability using bus probe data. In: Agents (ICA), IEEE International Conference on. IEEE, 2016. p. 146-149. http://doi.ieeecomputersociety.org/10.1109/ICA.2016.050.
- Mansur As, Tsunenori Mine. Estimation of travel time variability using bus probe data. In: 6th IEEE International Conference on Advanced Logistics and Transport (ICALT). IEEE 2017, pp.68–74. http://dx.doi.org/10.1109/ICAdLT.2017.8547006.
- Mansur As, Tsunenori Mine. Dynamic bus travel time prediction using an ANN-based model. In: Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication. ACM, 2018. p. 8pages. http://dx.doi.org/10.1145/3164541.3164630.
- Mansur As, Tsunenori Mine. An adaptive approach for predicting bus travel time over unstable intervals. In: The 16th ITS Asia-Pacific Forum FUKUOKA. ITS Asia Pacific and ITS Japan 2018, pp. 146–160. https://www.itsap-fukuoka.jp
- Tsubasa Yamaguchi, Mansur As, and Tsunenori Mine: Prediction of bus delay over intervals on a various kinds of routes using bus probe data, The 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2018), pp.97- 106 (2018). http://dx.doi.org/10.1109/BDCAT.2018.00020.
- Mansur As, and Tsunenori Mine: Travel Time Prediction Using Machine Learning Technique Based on Unstable Travel Time Segment, The 15th ITS Symposium
- Mansur As, Tsunenori Mine, Tsubasa Yamaguchi: Prediction of Bus Travel Time over Unstable Intervals between Two Adjacent Bus Stops. The 16th ITS Symposium
- Yamaguchi, Tsubasa, Mansur AS, and Tsunenori Mine. “An investigation of prediction accuracy of bus delay time influenced by the amount of training data and the variation of outlier detection.” IEICE Technical Report; IEICE Tech. Rep. 118.116 (2018): 15-21.
- Ismail Parewai, Mansur As, Tsunenori Mine and Mario Köppen (2020) Identification and Classification of Sashimi Food Using Multispectral Technology. In Proceedings of the 2020 2nd Asia Pacific Information Technology Conference, Bali, Indonesia. January 17-19. Association for Computing Machinery (ACM) New York, United States, pages 73-77
- Nurdiansyah Sirimorok, Mansur As, Kaori Yoshida and Mario Köppen (2020) Smart Watering System Based On Framework of Low-Bandwidth Distributed Applications (LBDA) in Cloud Computing. In Advances in Intelligent Networking and Collaborative Systems, the 12th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2020). (Barolli, Leonard and Li, Kin Fun, Eds.) Springer, Cham, pages 447-459.