{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T06:25:10Z","timestamp":1730269510460,"version":"3.28.0"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T00:00:00Z","timestamp":1721952000000},"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":[[2024,7,26]]},"DOI":"10.1109\/iotaai62601.2024.10692488","type":"proceedings-article","created":{"date-parts":[[2024,10,2]],"date-time":"2024-10-02T18:15:36Z","timestamp":1727892936000},"page":"28-31","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Train Wheel Defect Detection with ROCKET Feature Extraction and LightGBM"],"prefix":"10.1109","author":[{"given":"Kangyou","family":"Su","sequence":"first","affiliation":[{"name":"Guangdong Baiyun University,School of Electrical and Information Engineering,Guangzhou,China,510450"}]},{"given":"Chaoming","family":"Li","sequence":"additional","affiliation":[{"name":"Guangdong Baiyun University,School of Electrical and Information Engineering,Guangzhou,China,510450"}]},{"given":"Guoqing","family":"Yu","sequence":"additional","affiliation":[{"name":"Guangdong Baiyun University,School of Electrical and Information Engineering,Guangzhou,China,510450"}]},{"given":"Hongling","family":"Yu","sequence":"additional","affiliation":[{"name":"Guangdong Baiyun University,School of Electrical and Information Engineering,Guangzhou,China,510450"}]},{"given":"Zhiying","family":"Zheng","sequence":"additional","affiliation":[{"name":"Guangdong Baiyun University,School of Electrical and Information Engineering,Guangzhou,China,510450"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"489","article-title":"Real-time wheel defect detection using machine learning-based algorithms","volume":"32","author":"Lee","year":"2018","journal-title":"Journal of Mechanical Science and Technology"},{"key":"ref2","first-page":"126942","article-title":"Wheel defect detection for high-speed trains based on deep learning","volume":"7","author":"Zhang","year":"2019","journal-title":"IEEE Access"},{"issue":"5","key":"ref3","first-page":"2191","article-title":"Intelligent wheel defect detection for high-speed trains using multi-task deep learning","volume":"21","author":"Liu","year":"2020","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref4","first-page":"108760","article-title":"A machine learning approach for wheel defect detection in high-speed trains based on feature selection","volume":"173","author":"Li","year":"2021","journal-title":"Measurement"},{"key":"ref5","first-page":"10725","article-title":"Wheel defect diagnosis for high-speed trains based on deep convolutional neural network","volume":"8","author":"Liu","year":"2020","journal-title":"IEEE Access"},{"issue":"5","key":"ref6","first-page":"2941","article-title":"Intelligent detection of wheel defects for high-speed trains using transfer learning","volume":"22","author":"Zhang","year":"2020","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00701-z"},{"key":"ref8","first-page":"2777","article-title":"ROCKET: A fast and accurate time series classifier based on random convolutional kernels","volume-title":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","author":"Dempster"},{"issue":"10","key":"ref9","first-page":"5815","article-title":"Wheel defect detection for high-speed trains based on improved deep learning models","volume":"22","author":"Li","year":"2020","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"issue":"12","key":"ref10","first-page":"8531","article-title":"Intelligent wheel defect detection for high-speed trains based on multi-modal deep learning","volume":"22","author":"Liu","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"}],"event":{"name":"2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI)","start":{"date-parts":[[2024,7,26]]},"location":"Guangzhou, China","end":{"date-parts":[[2024,7,28]]}},"container-title":["2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10691949\/10692319\/10692488.pdf?arnumber=10692488","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T05:46:05Z","timestamp":1727934365000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10692488\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,26]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/iotaai62601.2024.10692488","relation":{},"subject":[],"published":{"date-parts":[[2024,7,26]]}}}