Keiko Shimazu - researchr alias

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Viewing Publication 1 - 14 from 14

2023

"Reception tendency of Quasi-Zenith Satellite System (QZSS) L1S \"disaster crisis report\" signal"Keiko Shimazu, Michi Hamashita, Taku Yamamoto, Tomoyo Shibata, Soma Nishimura, Sora Masaki, Yuno Sudo. cciot 2023: 108-114 [doi]

2016

Disaster Information Gathering System Based on Web Caching and OpenFlow in Unstable NetworksSaki Tabata, Kohei Ueda, Ryotaro Fukui, Keiko Shimazu, Hiroshi Shigeno. aina 2016: 17-24 [doi]

2013

Position paper: Design concept of ad-hoc Information Network System for disaster mitigationKeiko Shimazu, Masahiko Ito, Naohiro Kawashima. apcc 2013: 138-141 [doi]

Project concept: Design concept of ad-hoc Information Network System for disaster mitigationKeiko Shimazu, Masahiko Ito, Yoichi Kitsuta, Naohiro Kawashima. icacci 2013: 1436-1439 [doi]

2012

Experimental study of video records utilization for hospital service management: When do outpatients make discomfort gestures?Keiko Shimazu, Masahiko Ito, Kimihiko Ikeda, Aya Onoe. bmei 2012: 266-269 [doi]

2006

Experimental Study of Semantic Contents Mining on Intra-university Enterprise Contents Management System for Knowledge SharingKeiko Shimazu, Isao Saito, Koichi Furukawa. aswc 2006: 732-738 [doi]

Interdisciplinary Contents Management Using 5W1H Interface for MetadataKeiko Shimazu, Tatsuya Arisawa, Isao Saito. webist 2006: 909-912 [doi]

2003

DAISY, an RER Model Based Interface for RDB to ILPKeiko Shimazu, Atsuhito Momma, Koichi Furukawa. er 2003: 390-404 [doi]

Experimental study of discovering essential information from customer inquiryKeiko Shimazu, Atsuhito Momma, Koichi Furukawa. kdd 2003: 741-746 [doi]

Discovering Exceptional Information from Customer Inquiry by Association Rule MinerKeiko Shimazu, Atsuhito Momma, Koichi Furukawa. dis 2003: 269-282 [doi]

1997

On a Sufficient Condition for the Existence of Most Specific Hypothesis in ProgolKoichi Furukawa, Tomoko Murakami, Ken Ueno, Tomonobu Ozaki, Keiko Shimazu. ilp 1997: 157-164

Query Evaluation of Deductive Database by MGTP and its Application to Data MiningKoichi Furukawa, Tomonobu Ozaki, Tomoko Murakami, Ken Ueno, Keiko Shimazu. deductive 1997:

Knowledge discovery in database by Progol-design, implementation and its application to expert system buildingKeiko Shimazu, Koichi Furukawa. SAC 1997: 91-93 [doi]

1996

Design of Database Interface to ILP for Building Knowledge BaseKeiko Shimazu, Koichi Furukawa. ieaaie 1996: 389-394

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