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Prediction of gas concentration based on the opposite degree algorithm
Yue, Xiao-Guang; Gao, Rui; McAleer, Michael - 2016
In order to study the dynamic changes in gas concentration, to reduce gas hazards, and to protect and improve mining safety, a new method is proposed to predict gas concentration. The method is based on the opposite degree algorithm. Priori and posteriori values, opposite degree computation,...
Persistent link: https://www.econbiz.de/10011456718
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Prediction of gas concentration based on the opposite degree algorithm
Yue, Xiao-Guang; Gao, Rui; McAleer, Michael - 2016
Persistent link: https://www.econbiz.de/10011485285
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Measuring prediction accuracy in a maritime accident warning system
Merrick, Jason R. W.; Dorsey, Claire A.; Wang, Bo; … - In: Production and operations management : the flagship … 31 (2022) 2, pp. 819-827
Persistent link: https://www.econbiz.de/10013164000
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Supply chain data analytics for predicting supplier disruptions : a case study in complex asset manufacturing
Brintrup, Alexandra; Pak, Johnson; Ratiney, David; … - In: International journal of production research 58 (2020) 11, pp. 3330-3341
Persistent link: https://www.econbiz.de/10012265397
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Forecasting of potential impacts of disruptive technology in promising technological areas : elaborating the SIRS epidemic model in RFID technology
Cheng, Yu; Huang, Lucheng; Ramlogan, Ronnie; Li, Xin - In: Technological forecasting & social change : an … 117 (2017), pp. 170-183
Persistent link: https://www.econbiz.de/10011882868
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Seaport profit analysis and efficient management strategies under stochastic disruptions
Truong Ngoc Cuong; Kim, Hwan-Seong; Le Ngoc Bao Long; … - In: Maritime economics & logistics 26 (2024) 2, pp. 212-240
Persistent link: https://www.econbiz.de/10014557754
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From supply chain risk to system-wide disruptions : research opportunities in forecasting, risk management and product design
Browning, Tyson R.; Kumar, Maneesh; Sanders, Nada R.; … - In: International journal of operations & production management 43 (2023) 12, pp. 1841-1858
Persistent link: https://www.econbiz.de/10014468316
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Modeling and forecasting the volatility of returns in the infrastructure sector in emerging markets
Magweva, Rabson; Sibanda, Mabutho - In: Eurasian journal of business and economics : EJBE 13 (2020) 25, pp. 37-52
Persistent link: https://www.econbiz.de/10012225640
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The IDE geographical simulation model : predicting long-term effects of infrastructure development projects
Kumagai, Satoru; Gokan, Toshitaka; Isono, Ikumo; Keola, … - 2008
Persistent link: https://www.econbiz.de/10003738872
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Calculating failure : the making of a calculative infrastructure for forgiving and forecasting failure
Kurunmäki, Liisa; Miller, Peter - In: Business history 55 (2013) 7, pp. 1100-1118
Persistent link: https://www.econbiz.de/10010225074