{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T14:49:01Z","timestamp":1773931741498,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Plan Project","award":["2022YFB3304700"],"award-info":[{"award-number":["2022YFB3304700"]}]},{"name":"Liaoning Province Central Leading Local Science and Technology Development Special Project","award":["2024JH6\/100600002"],"award-info":[{"award-number":["2024JH6\/100600002"]}]},{"name":"Xing Liao Ying Cai Plan of Liaoning Province","award":["XLYC2202002"],"award-info":[{"award-number":["XLYC2202002"]}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2024501044"],"award-info":[{"award-number":["F2024501044"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1109\/tii.2025.3545055","type":"journal-article","created":{"date-parts":[[2025,3,13]],"date-time":"2025-03-13T17:49:44Z","timestamp":1741888184000},"page":"4606-4616","source":"Crossref","is-referenced-by-count":3,"title":["Adaptive Multiresampling Learning Based on Dual-Scale Feature Aggregation for Industrial Quality Prediction"],"prefix":"10.1109","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3910-1581","authenticated-orcid":false,"given":"Kesheng","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"}]},{"given":"Like","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1657-209X","authenticated-orcid":false,"given":"Xiang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3735-0672","authenticated-orcid":false,"given":"Jinliang","family":"Ding","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3802-9269","authenticated-orcid":false,"given":"Shen","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Mechanical and Industrial Engineering, Faculty of Engineering, Norwegian University of Science and Technology, Trondheim, Norway"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2308576"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2967067"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04773-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2993842"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3190025"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3008223"},{"key":"ref8","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3161990"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3110507"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120098"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3141154"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3421570"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3075754"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2700520"},{"key":"ref16","volume-title":"Research on Data-Driven Concentrate Grade Prediction of Hematite ore Dressing Processes: [D]","author":"Liu","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3086763"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2024.3429382"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3399932"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3211330"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3176821"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3282979"},{"issue":"05","key":"ref23","first-page":"964","article-title":"Intelligent forecasting method of caustic concentration in alumina production process based on end-edge-cloud coordination","volume":"49","author":"Gao","year":"2023","journal-title":"Acta Automatica Sinica"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3290163"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tr.2024.3409427"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tetci.2024.3462486"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s12650-024-00964-4"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.53941\/ijndi0201006"},{"key":"ref29","article-title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chen","year":"2024"},{"key":"ref30","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","volume":"28","author":"Shi","year":"2015"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3065930"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/11014248\/10925498.pdf?arnumber=10925498","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T04:53:16Z","timestamp":1748062396000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10925498\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":31,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tii.2025.3545055","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6]]}}}