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Real-time people movement estimation in large disasters from several kinds of mobile phone data.

, , , , , , , and . UbiComp Adjunct, page 1426-1434. ACM, (2016)

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Simulating the Revival of Ofune-hoko in the Kyoto Gion Festival., , , , and . Culture and Computing, page 208-209. IEEE Computer Society, (2013)Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information., , , , and . UrbanGIS@SIGSPATIAL, page 9:1-9:8. ACM, (2017)An Easy Infrastructure Management Method Using On-Board Smartphone Images and Citizen Reports by Deep Neural Network., , and . Urb-IoT, page 111-113. ACM, (2016)Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network., , and . MobiGIS, page 37-45. ACM, (2016)Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images., , , , and . Comput. Aided Civ. Infrastructure Eng., 33 (12): 1127-1141 (2018)Virtual Kyoto Project: Digital Diorama of the Past, Present, and Future of the Historical City of Kyoto., , , , , , , , , and . Culture and Computing, volume 6259 of Lecture Notes in Computer Science, page 173-187. Springer, (2010)My City Forecast: Urban planning communication tool for citizen with national open data., , , , and . Comput. Environ. Urban Syst., (2019)Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone., , , , and . CoRR, (2018)Trends in Citizen-Generated and Collaborative Urban Infrastructure Feedback Data: Toward Citizen-Oriented Infrastructure Management in Japan., and . ISPRS Int. J. Geo Inf., 8 (3): 115 (2019)Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems., , , and . ISPRS Int. J. Geo Inf., 9 (3): 161 (2020)