{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T17:27:26Z","timestamp":1772645246221,"version":"3.50.1"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207537","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-7","source":"Crossref","is-referenced-by-count":27,"title":["Deep Learning Based Approach for Fresh Produce Market Price Prediction"],"prefix":"10.1109","author":[{"given":"Lobna","family":"Nassar","sequence":"first","affiliation":[]},{"given":"Ifeanyi Emmanuel","family":"Okwuchi","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Saad","sequence":"additional","affiliation":[]},{"given":"Fakhri","family":"Karray","sequence":"additional","affiliation":[]},{"given":"Kumaraswamy","family":"Ponnambalam","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Fruit and tree nut yearbook: dataset (89022)","year":"2017"},{"key":"ref38","first-page":"431","article-title":"An Algorithm for Least-Squares Estimation of Nonlinear Parameters","volume":"11","author":"marquardt","year":"1963","journal-title":"SIAM Journal"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.28945\/4184"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/0169-2070(92)90008-W"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2006.03.001"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1108\/01443571311295608"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1090\/qam\/10666"},{"key":"ref36","first-page":"22","article-title":"Variable importance assessment for colorization of grayscale aerial images based on random forest, adaptive boosting and stochastic gradient boosting","volume":"11","author":"koo","year":"2018","journal-title":"Disaster Adv 2018"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2004.01.007"},{"key":"ref34","first-page":"1247","article-title":"Root mean square error (RMSE) or mean absolute error (MAE)? &#x2013; Arguments against avoiding RMSE in the literature","volume":"7","author":"chai","year":"2004","journal-title":"GMD"},{"key":"ref10","article-title":"The usefulness of the R2 Statistic","author":"fonticella","year":"1998"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAAI.2015.7407108"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3356072"},{"key":"ref15","article-title":"Soft computing and intelligent systems Design: theory, tools and applications","author":"karray","year":"2004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2005.03.056"},{"key":"ref17","first-page":"41","article-title":"Recurrent Neural Networks: design and applications","author":"medsker","year":"1999"},{"key":"ref18","first-page":"96","article-title":"Research paper on basic of Artificial Neural Network","volume":"2","author":"sonali","year":"2014","journal-title":"International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2017.62"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture5030626"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-29894-4_56"},{"key":"ref3","article-title":"High velocity supply chains for perishables: A Fresher Proposition","author":"bacon","year":"2015","journal-title":"Cognizant 20-20 insights"},{"key":"ref6","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316566","article-title":"Forecasting with univariate Box-Jenkins models: concepts and cases","author":"pankratz","year":"1983"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1080\/07474938.2010.481556"},{"key":"ref5","article-title":"Forecasting Techniques in Agriculture","author":"ramasubramaniyam","year":"2015","journal-title":"J Ind Soc Agril Statist IASRI"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2002.804943"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29854-2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1108\/01443571311295608"},{"key":"ref9","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"31st Conference on Adv Neural Inf Process Syst"},{"key":"ref1","article-title":"Forecasting agricultural commodity prices using multivariate Bayesian machine learning regression","author":"ticlavilca","year":"2010","journal-title":"Proc NCCC-134 Conferencen on Applied Commodity Price Analysis Forecasting and Market Risk Management"},{"key":"ref20","first-page":"545","article-title":"Offline handwriting recognition with multidimensional recurrent neural networks","author":"graves","year":"2008","journal-title":"NIPS'08 21st International Conference on NIPS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"ref21","first-page":"338","article-title":"Long short-term memory recurrent neural network architectures for large scale acoustic modeling","author":"sak","year":"2014","journal-title":"Proc Annu Conf Int Speech Commun Assoc (Interspeech)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICEI.2019.00101"},{"key":"ref23","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","volume":"abs 1803 1271","author":"bai","year":"2018","journal-title":"CoRR"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219839"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1049\/cje.2018.11.004","article-title":"A text sentiment classification modeling method based on coordinated CNN-LSTM-Attention model","volume":"28","author":"yangsen","year":"2019","journal-title":"Chinese J Electron"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","location":"Glasgow, United Kingdom","start":{"date-parts":[[2020,7,19]]},"end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207537.pdf?arnumber=9207537","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T17:38:20Z","timestamp":1696786700000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207537\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207537","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}