{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T07:10:57Z","timestamp":1770275457129,"version":"3.49.0"},"reference-count":5,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,18]]},"DOI":"10.1109\/gcce56475.2022.10014065","type":"proceedings-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T13:53:09Z","timestamp":1674049989000},"page":"424-425","source":"Crossref","is-referenced-by-count":5,"title":["Prediction of Seismic Intensity Distributions Using Neural Networks"],"prefix":"10.1109","author":[{"given":"Koyu","family":"Mizutani","sequence":"first","affiliation":[{"name":"Faculty of Engineering"}]},{"given":"Haruki","family":"Mitarai","sequence":"additional","affiliation":[{"name":"Faculty of Engineering"}]},{"given":"Kakeru","family":"Miyazaki","sequence":"additional","affiliation":[{"name":"Faculty of Engineering"}]},{"given":"Ryugo","family":"Shimamura","sequence":"additional","affiliation":[{"name":"Faculty of Engineering"}]},{"given":"Soichiro","family":"Kumano","sequence":"additional","affiliation":[{"name":"The University of Tokyo,Graduate School of Information Science and Technology,Tokyo,Japan"}]},{"given":"Toshihiko","family":"Yamasaki","sequence":"additional","affiliation":[{"name":"The University of Tokyo,Graduate School of Information Science and Technology,Tokyo,Japan"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-020-68630-x","article-title":"Hybrid predictor for ground-motion intensity with machine learning and conventional ground motion prediction equation","volume":"10","author":"kubo","year":"2020","journal-title":"Scientific Reports"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1785\/0120110088"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.5047\/eps.2010.12.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.20965\/jdr.2013.p0878"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.earscirev.2016.07.005"}],"event":{"name":"2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)","location":"Osaka, Japan","start":{"date-parts":[[2022,10,18]]},"end":{"date-parts":[[2022,10,21]]}},"container-title":["2022 IEEE 11th Global Conference on Consumer Electronics (GCCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10013950\/10014027\/10014065.pdf?arnumber=10014065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T16:56:39Z","timestamp":1676912199000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10014065\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"references-count":5,"URL":"https:\/\/doi.org\/10.1109\/gcce56475.2022.10014065","relation":{},"subject":[],"published":{"date-parts":[[2022,10,18]]}}}