{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:45:07Z","timestamp":1775069107294,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,6]],"date-time":"2021-06-06T00:00:00Z","timestamp":1622937600000},"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":[[2021,6,6]]},"DOI":"10.1109\/icassp39728.2021.9414433","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:53:45Z","timestamp":1620935625000},"page":"8027-8031","source":"Crossref","is-referenced-by-count":4,"title":["Fully-Neural Approach to Vehicle Weighing and Strain Prediction on Bridges Using Wireless Accelerometers"],"prefix":"10.1109","author":[{"given":"Takaya","family":"Kawakatsu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenro","family":"Aihara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atsuhiro","family":"Takasu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Adachi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoqi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomonori","family":"Nagayama","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"A numerical study on bridge deflection estimation using multi-channel acceleration measurement","volume":"63a","author":"nagayama","year":"2017","journal-title":"JSCE"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952190"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref14","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"AISTATS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2912938"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/COMSNETS.2019.8711343"},{"key":"ref17","article-title":"Collision vs noncollision distributed time synchronization for dense IoT deployments","author":"alvarez","year":"2017","journal-title":"ICC"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WCNCW.2017.7919085"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ETFA.2016.7733533"},{"key":"ref4","article-title":"Recent developmenets in bridge weigh in motion (BWIM)","volume":"6","author":"lydon","year":"2015","journal-title":"CSHM"},{"key":"ref3","article-title":"Identification of vehicular axle weights with a BWIM system considering transverse distribution of wheel loads","volume":"19","author":"zhao","year":"2014","journal-title":"JBE"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2872839"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/1369433216655922"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)BE.1943-5592.0001174"},{"key":"ref7","article-title":"Fully-neural approach to heavy vehicle detection on bridges using a single strain sensor","author":"kawakatsu","year":"2020","journal-title":"ICASSP"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/s16122143"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s16020257"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iatssr.2010.06.003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)1084-0702(2009)14:6(418)"},{"key":"ref22","article-title":"Deep learning approach to modeling bridge dynamics using cameras and sensors","author":"kawakatsu","year":"2020","journal-title":"IABMAS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2017.82"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001493000339"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.149"}],"event":{"name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Toronto, ON, Canada","start":{"date-parts":[[2021,6,6]]},"end":{"date-parts":[[2021,6,11]]}},"container-title":["ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9413349\/9413350\/09414433.pdf?arnumber=9414433","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:40:47Z","timestamp":1652197247000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9414433\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,6]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icassp39728.2021.9414433","relation":{},"subject":[],"published":{"date-parts":[[2021,6,6]]}}}