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Forecasting e-waste recovery scale driven by seasonal data characteristics: A decomposition-ensemble approach.

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第一作者： Akm,Mohsin

第一单位： International Business School, Shaanxi Normal University, Xi'an, China.;Faculty of Business and Entrepreneurship, Daffodil International University, Dhaka, Bangladesh.

作者： Akm,Mohsin ^[1] ; Lei,Hongzhen ^[2] ; Mohammed,Masum Iqbal ^[3] ; Zahir Rayhan,Salim ^[4] ; Alamgir,Hossain ^[5] ; Abdullah,Al Kafy ^[6]

作者单位： International Business School, Shaanxi Normal University, Xi'an, China.;Faculty of Business and Entrepreneurship, Daffodil International University, Dhaka, Bangladesh. ^[1] International Business School, Shaanxi Normal University, Xi'an, China. ^[2] Faculty of Business and Entrepreneurship, Daffodil International University, Dhaka, Bangladesh. ^[3] College of Business Administration, IUBAT-International University of Business Agriculture and Technology, Dhaka, Bangladesh. ^[4] AAU Business School, Aalborg University, Aalborg, Denmark. ^[5] ICLEI South Asia, Rajshahi City Corporation, Rajshahi, Bangladesh.;Department of Urban & Regional Planning, Rajshahi University of Engineering & Technology, Rajshahi, Bnagladesh. ^[6]

关键词 E-waste data trait-driven modelling decomposition-integration integrated forecasting seasonal decomposition

医学主题词电子垃圾(Electronic Waste);预测(Forecasting);回收(Recycling);季节(Seasons);时间因素(Time Factors)

DOI 10.1177/0734242X211061443

PMID 34823396

发布时间 2022-05-17

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准确一般字义偏差语意偏离译文作用小提交