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Committee Date Time Place Paper Title / Authors Abstract Paper #
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Prioritized Transmission of Mobile IoT Data Using Machine Learning Models
Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.)
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more]
ASN, MoNA, IPSJ-MBL, IPSJ-UBI [detail] 2019-03-05
Tokyo The University of Tokyo, Komaba Campus Reward-based Allocation for Mobile Crowdsensing in Real-time Prediction of Spatial Information
Rieko Takagi, Yuichi Inagaki, Ryoichi Shinkuma (Kyoto Univ.), Fatos Xhafa (UPC), Takehiro Sato, Eji Oki (Kyoto Univ.) MoNA2018-72
Real-time prediction of spatial information has attracted a lot of attention as a potential solution to social problems ... [more] MoNA2018-72
MoNA 2019-01-17
Kyoto T. B. D. Study on Extraction of Important Data Based on Feature Selection Ensemble for Real-time Predictive Information Delivery
Takumi Sakai, Ryoichi Shinkuma, Yuichi Inagaki, Takehiro Sato, Eiji Oki (Kyoto Univ) MoNA2018-67
Recently, the demands on the services that predict and deliver real-time spatial information, such as road-traffic volum... [more] MoNA2018-67
Okinawa Chatan-cho Mihama MS Feasibility Study on Authentication Control for Device Sharing Based on Online Social Relationships
Yuichi Inagaki, Ryoichi Shinkuma (Kyoto Univ.) MoNA2017-5
Services of a form called ``sharing economy'' as represented by Airbnb and Uber are expected to continue growing. In suc... [more] MoNA2017-5
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