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Ensemble multitask prediction of air pollutants time series : based on variational inference, data projection, and generative adversarial network
Wang, Kang; Qu, Chao; Wang, Jianzhou; Li, Zhiwu; Lu, Haiyan - In: Journal of forecasting 44 (2025) 2, pp. 646-675
Persistent link: https://www.econbiz.de/10015374075
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The development and evaluation of a scale to assess job satisfaction in public universities with item response theory : a Brazilian study
Neto, Jerko Ledic; Andrade, Dalton Francisco de; Lu, Haiyan - 2024
Persistent link: https://www.econbiz.de/10015127016
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Impacts of shifting China's final energy consumption to electricity on CO2 emission reduction
Zhao, Weigang; Cao, Yunfei; Miao, Bo; Wang, Ke; Wei, Yi-Ming - In: Energy economics 71 (2018), pp. 359-369
Persistent link: https://www.econbiz.de/10011943063
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City Branding in Chinese Megacity Regions : Against the Background of Ecological Modernization
Lu, Haiyan - 2024
Persistent link: https://www.econbiz.de/10015186447
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Low-carbon urban experiments from vision to reality : a systematic review of the literature from 2005 to 2020
Lu, Haiyan; Fu, Yang; Xia, Changyou; Lu, Chengze; Wang, Bo - In: Climate policy 23 (2023) 8, pp. 1058-1077
Persistent link: https://www.econbiz.de/10014445610
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Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme
Jiang, Ping; Nie, Ying; Wang, Jianzhou; Huang, Xiaojia - In: Energy economics 117 (2023), pp. 1-21
Persistent link: https://www.econbiz.de/10014436651
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Using a grey model optimized by differential evolution algorithm to forecast the per capita annual net income of rural households in China
Zhao, Ze; Wang, Jianzhou; Zhao, Jing; Su, Zhongyue - In: Omega : the international journal of management science 40 (2012) 5, pp. 525-532
Persistent link: https://www.econbiz.de/10009511184
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A novel hybrid fine particulate matter (PM2.5) forecasting and its further application system : case studies in China
Du, Pei; Wang, Jianzhou; Yang, Wendong; Niu, Tong - In: Journal of forecasting 41 (2022) 1, pp. 64-85
Persistent link: https://www.econbiz.de/10012796269
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Extreme gradient boosting trees with efficient Bayesian optimization for profit-driven customer churn prediction
Liu, Zhenkun; Jiang, Ping; De Bock, Koen W.; Wang, Jianzhou - In: Technological forecasting and social change : an … 198 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10015076450
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Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction
Liu, Zhenkun; Zhang, Ying; Abedin, Mohammad Zoynul; … - In: Journal of retailing and consumer services 79 (2024), pp. 1-17
Persistent link: https://www.econbiz.de/10015100820