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	Long-Term Traffic Forecast Using Neural Network and Seasonal Autoregressive Integrated Moving Average: Case of a Container Port Journal article Transportation Research Record,2022, volume: 2676, issue: 8, pages: 236-252 Authors: Gargari, Negar Sadeghi; Panahi, Roozbeh; Akbari, Hassan; Ng, Adolf K.Y. Favorite \| View/Download：10/0 \| Submit date：2022/09/05 artificial intelligence artificial intelligence and advanced computing applications container data analytics data and data science freight transportation data logistics machine learning (artificial intelligence) marine marine transportation (water transportation) neural networks port ports and channels vessels
	Missing Value Filling Based on the Collaboration of Cloud and Edge in Artificial Intelligence of Things Journal article IEEE Transactions on Industrial Informatics,2022, volume: 18, issue: 8, pages: 5394-5402 Authors: Wang, Tian; Ke, Haoxiong; Jolfaei, Alireza; Wen, Sheng; Haghighi, Mohammad Sayad Favorite \| View/Download：8/0 \| Submit date：2022/02/23 Artificial Intelligence of Things Cloud computing Edge computing Edge computing Energy consumption Filling Internet of Things Missing Value Filling Recurrent Neural Networks Sensors Time series analysis Wireless sensor networks
	Artificial Intelligence in Daily Life Book Singapore:Springer, 1, 2020 Authors: Lee, Raymond S.T. Favorite \| View/Download：5/0 \| Submit date：2022/01/18 Artificial Intelligence Machine Learning Neural Networks Fuzzy Logics Intelligence Campus Intelligence City
	A new approach for Baltic Dry Index forecasting based on empirical mode decomposition and neural networks Journal article Maritime Economics and Logistics,2016, volume: 18, issue: 2, pages: 192-210 Authors: Zeng, Qingcheng; Qu, Chenrui; Ng, Adolf K.Y.; Zhao, Xiaofeng Favorite \| View/Download：3/0 \| Submit date：2021/05/27 dry bulk shipping market empirical mode decomposition artificial neural networks forecasting Baltic Dry Index (BDI)