{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T21:10:27Z","timestamp":1761340227651,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"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":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191934","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-10","source":"Crossref","is-referenced-by-count":2,"title":["Temporal Spatial Decomposition and Fusion Network for Time Series Forecasting*"],"prefix":"10.1109","author":[{"given":"Liwang","family":"Zhou","sequence":"first","affiliation":[{"name":"Zhejiang University,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Gao","sequence":"additional","affiliation":[{"name":"Anhui University,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014","journal-title":"ArXiv"},{"key":"ref12","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume":"27","author":"sutskever","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref15","first-page":"101","article-title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting","author":"wu","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref14","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"bai","year":"2018","journal-title":"ArXiv"},{"key":"ref31","first-page":"1509","article-title":"STL:A seasonal trend decomposition procedure based on Loess","volume":"65","author":"cleveland","year":"1970","journal-title":"American Statistical Association"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-55320-6"},{"key":"ref11","first-page":"301","article-title":"Recurrent networks and NARMA modeling","volume":"4","author":"connor","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref33","first-page":"933","article-title":"Language modeling with gated convolutional networks","author":"dauphin","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref32","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref2","first-page":"213","article-title":"Predicting Prices of Stock Market using Gated Recurrent Units(GRUs) Neural Networks","volume":"19","author":"rahman","year":"2019","journal-title":"IJCSNS"},{"key":"ref1","first-page":"45","article-title":"The Nexus between Tax Revenue and Economic growth in Nigeria","volume":"4","author":"edewusi","year":"2019","journal-title":"International Journal of Applied Economics Finance and Accounting"},{"key":"ref17","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947265"},{"key":"ref18","article-title":"Neural machine translation by jointly learning to align and translate","author":"bahdanau","year":"2014","journal-title":"ArXiv"},{"key":"ref24","first-page":"243","article-title":"Flow forecasting for a hawaii stream using rating curves and neural networks","volume":"167","author":"sahoo","year":"2015","journal-title":"Journal of Hydrology"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-477"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/323533a0","article-title":"Learning representations by back-propagating errors","volume":"323","author":"rumelhart","year":"1986","journal-title":"Nature"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.04.071"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.04.082"},{"key":"ref22","article-title":"Layer normalization","author":"ba","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1146"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","article-title":"The empirical mode decomposition and Hilbert spectrum for nonlinear and nonstationary time series analysis","volume":"454","author":"huang","year":"0","journal-title":"Proc R Soc London A"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"ICLRE"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"ref8","article-title":"Estimating structured vector autoregressive model","author":"melnyk","year":"2016","journal-title":"ArXiv"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2003.09.015"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(03)00372-2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.114137"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(2002)128:6(490)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/for.3980030312"},{"key":"ref5","article-title":"Time series analysis: Forecasting and control","volume":"31","author":"box","year":"2010","journal-title":"The Times J"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191934.pdf?arnumber=10191934","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:42:41Z","timestamp":1692639761000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191934\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191934","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}