2020/09, Saga University, Faculty of science and engineering, departement of civil engineering and architecture, Graduated
Awards
日本都市計画学会九州支部研究発表会(口頭発表セッ ション)最優秀賞受賞 (2021/04)
Themes for Ongoing Research
Development of an automatic tool for the recognition and classification of Historical Urban Landscape using Deep Learning
an innovative historical building classification learning system using unsupervied learning
Research Themes in the Past
Development of an automatic tool for the recognition and classification of Historical Urban Landscape using Deep Learning
Research Topics and Results
Quality of integration of a building in an urban heritage
area: Evaluation of the impact of the variation of parameters on the accuracy of a deep learning
method 2019/09
Original Articles
A basic analysis on urban landscape continuity in a lowland urban heritage using deep learning-based method; 2020/09 ANNOUNCEMENT INFO.; , 22, 2, 192-200 AUTHOR; M.R. Derbel, J. Makhlouf, N. Mishima
Quality of integration of a building in an urban heritage area: Evaluation of the impact of the variation of parameters on the accuracy of a deep learning method; 2020/03 ANNOUNCEMENT INFO.; AUTHOR; M.R. Derbel, N. Mishima
Quality of integration of a building in an urban heritage
area: Evaluation of the impact of the variation of parameters on the accuracy of a deep learning
method; 2019/09 ANNOUNCEMENT INFO.; AUTHOR;
Comparing building exterior design perception regarding the integration in an urban preservation area; 2018/12 ANNOUNCEMENT INFO.; AUTHOR; M.R. Derbel, N. Mishima,
Comparative analysis of different landscaping approach in a traditional area from the perspective of architectural insertion; 2016/09 ANNOUNCEMENT INFO.; AUTHOR; M.R. Derbel, N. Mishima