{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T20:48:39Z","timestamp":1775076519355,"version":"3.50.1"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T00:00:00Z","timestamp":1663804800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T00:00:00Z","timestamp":1663804800000},"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":[[2022,9,22]]},"DOI":"10.1109\/iccp56966.2022.10053947","type":"proceedings-article","created":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T18:22:19Z","timestamp":1677694939000},"page":"205-212","source":"Crossref","is-referenced-by-count":3,"title":["Learning pavement surface condition ratings through visual cues using a deep learning classification approach"],"prefix":"10.1109","author":[{"given":"Waqar S.","family":"Qureshi","sequence":"first","affiliation":[{"name":"Technological University,Department of Computer Science,Dublin,Ireland"}]},{"given":"David","family":"Power","sequence":"additional","affiliation":[{"name":"Pavement Management Services,Dublin,Ireland"}]},{"given":"Joseph","family":"McHale","sequence":"additional","affiliation":[{"name":"Pavement Management Services,Dublin,Ireland"}]},{"given":"Brian","family":"Mulry","sequence":"additional","affiliation":[{"name":"Pavement Management Services,Dublin,Ireland"}]},{"given":"Kieran","family":"Feighan","sequence":"additional","affiliation":[{"name":"Pavement Management Services,Dublin,Ireland"}]},{"given":"Dympna O","family":"Sullivan","sequence":"additional","affiliation":[{"name":"Technological University,Department of Computer Science,Dublin,Ireland"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103336"},{"key":"ref2","article-title":"Road pavement surface types","year":"2022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2966881"},{"key":"ref4","article-title":"Pavement Management - Road Management Office","year":"2022"},{"key":"ref5","article-title":"PASER Asphalt Roads Pavement Surface Evaluation and Rating PASER Manual Asphalt Roads","year":"2002"},{"key":"ref6","article-title":"Rural Flexible Roads Manual - Pavement Surface Condition Index, Vol 1 of 3, Department of Transport, Toursim and Sports, Dublin, Ireland October 2014","author":"Mccarthy","year":"2014"},{"key":"ref7","first-page":"1","article-title":"A Simplified System for Assessing the Condition of Irish Regional and Local Roads","author":"Mulry","year":"2016","journal-title":"Civil Engineering Research in Ireland 2016"},{"key":"ref8","first-page":"1","article-title":"Development and Implementation of a Simplified System for Assessing the Condition of Irish Regional and Local Roads","volume-title":"9th International Conference on Managing Pavement Assets","author":"Mulry"},{"key":"ref9","article-title":"Practical Guide for Quality Management of Pavement Condition Data Collection","author":"Fhwa"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/infrastructures3040058"},{"key":"ref11","article-title":"PAVEMENT MAINTENANCE MANAGEMENT","year":"1982","journal-title":"Technical Manual TM 5-623"},{"key":"ref12","article-title":"Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys","year":"2022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1515\/otmcj-2016-0008"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/01423312211003372"},{"issue":"1","key":"ref15","first-page":"104","article-title":"Mengurangi Laju Kerusakan Jalan dengan Menggunakan Metode RCI (Road Condition Index) di Kabupaten Madiun","volume":"4","author":"Prasetya","year":"2021","journal-title":"J. Manaj. Teknol. Tek Sipil"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103935"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2021.04.033"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101303"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/case49439.2021.9551591"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2020.118513"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.22456\/2175-2745.91522"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12409"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12387"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1061\/jpeodx.0000317"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1061\/jpeodx.0000282"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1061\/(asce)cp.1943-5487.0000952"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48084\/etasr.4450"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10121402"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-021-00914-0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-020-09964-3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103605"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103991"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.107133"},{"key":"ref34","article-title":"Transfer Learning-based Road Damage Detection for Multiple Countries","author":"Arya","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12297"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/itsc.2016.7795529"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/itsc.2013.6728473"},{"key":"ref38","volume-title":"Roadway by RoadBotics","year":"2022"},{"key":"ref39","volume-title":"Road Surface Inspection System Global Ricoh","year":"2022"},{"key":"ref40","article-title":"IMAGENET-TRAINED CNNS ARE BIASED TOWARDS TEXTURE; INCREASING SHAPE BIAS IMPROVES ACCURACY AND ROBUSTNESS","author":"Geirhos","year":"2019"},{"key":"ref41","volume-title":"road-segmentation-adas-0001 - OpenVNO Toolkit","year":"2022"},{"key":"ref42","volume-title":"ImageNet Benchmark (Image Classification) Papers With Code","year":"2022"},{"key":"ref43","volume-title":"EfficientNet V2 Model \u2018M\u2019 test dataset qualitative results","author":"Qureshi","year":"2022"}],"event":{"name":"2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP)","location":"Cluj-Napoca, Romania","start":{"date-parts":[[2022,9,22]]},"end":{"date-parts":[[2022,9,24]]}},"container-title":["2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10053841\/10053935\/10053947.pdf?arnumber=10053947","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T15:29:48Z","timestamp":1707838188000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10053947\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,22]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/iccp56966.2022.10053947","relation":{},"subject":[],"published":{"date-parts":[[2022,9,22]]}}}