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Efficacy of Artificial Neural Networks (ANN) as a tool for predictive analytics
Sinha, Deepti; Sarangi, Pradeepta Kumar; Sinha, Sachin - In: Analytics Enabled Decision Making, (pp. 123-138). 2023
Persistent link: https://www.econbiz.de/10014302861
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Hybrid SEM-neural networks for predicting electronics logistics information system adoption in Thailand healthcare supply chain
Siwaporn Kunnapapdeelert; Krittipat Pitchayadejanant - In: International journal of business performance and … 11 (2020) 1, pp. 54-68
Persistent link: https://www.econbiz.de/10012271029
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Evaluation information system using fuzzy neural networks
Ma, Weimin; Ma, Xiujuan - In: Challenges in information technology management : …, (pp. 197-203). 2008
Persistent link: https://www.econbiz.de/10003726893
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Modeling the spatial distribution of mineral deposits using neural networks
Skabar, Andrew - In: Natural resource modeling : the official journal of the … 20 (2007) 3, pp. 435-450
Persistent link: https://www.econbiz.de/10003674558
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Neural networks and geographic information systems
Joksimović, Dušan; Jovanović, Verka; Stanojević, … - In: Megatrend review : the international review of applied … 1 (2004) 1, pp. 187-196
Persistent link: https://www.econbiz.de/10003183283
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Development of neural network and application of computer vision technology for diagnosis of skin injuries and diseases
Fomenko, Ivan; Asieiev, Vladyslav; Kulakovska, Inessa - In: Technology audit and production reserves 2 (2021) 2/58, pp. 6-11
Persistent link: https://www.econbiz.de/10013162617
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A new method for evaluating information system growth of SMEs based on improved BP neural network
Lu, Kejing; Lyu, YuJie; Li, Xianjun; Zhang, Yuan - In: Information systems and e-business management : ISeB 18 (2020) 4, pp. 779-792
Persistent link: https://www.econbiz.de/10012416493
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Geomarketing models in supermarket location strategies
Baviera-Puig, Amparo; Buitrago-Vera, Juan; … - In: Journal of business economics and management 17 (2016) 6, pp. 1205-1221
Persistent link: https://www.econbiz.de/10011626124
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A predictive analytics model for COVID-19 pandemic using artificial neural networks
Kuvvetli, Yusuf; Deveci, Muhammet; Paksoy, Turan; Garg, … - In: Decision analytics journal 1 (2021)
The COVID-19 pandemic spread rapidly around the world and is currently one of the most leading causes of death and heath disaster in the world. Turkey, like most of the countries, has been negatively affected by COVID-19. The aim of this study is to design a predictive model based on artificial...
Persistent link: https://www.econbiz.de/10013163050
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A fuzzy deep predictive analytics approach for enhancing cycle time range estimation precision in wafer fabrication
Wang, Yu-Cheng; Chen, Toly; Hsu, Ting Chuan - In: Decision analytics journal 1 (2021)
The cycle time of a wafer lot refers to the time that the wafer lot has experienced from its input to output. Predicting the cycle time of each wafer lot is a crucial task for a wafer fabrication factory (wafer fab), but existing prediction methods cannot achieve 100% accuracy. Therefore, if the...
Persistent link: https://www.econbiz.de/10013163062