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Stochastic technology life cycle analysis using multiple patent indicators

Lee, Changyong; Kim, Juram; Kwon, Ohjin; Woo, Han-Gyun - In: Technological forecasting & social change : an … 106 (2016), pp. 53-64

Persistent link: https://www.econbiz.de/10011609990

Screening ideas in the early stages of technology development : a word2vec and convolutional neural network approach

Hong, Suckwon; Kim, Juram; Woo, Han-Gyun; Kim, Young-Choon - In: Technovation : the international journal of … 112 (2022), pp. 1-12

Persistent link: https://www.econbiz.de/10013390645

Monitoring trends of technological changes based on the dynamic patent lattice : a modified formal concept analysis approach

Lee, Changyong; Jeon, Jeonghwan; Park, Yongtae - In: Technological forecasting & social change : an … 78 (2011) 4, pp. 690-702

Persistent link: https://www.econbiz.de/10009305302

How to assess patent infringement risks : a semantic patent claim analysis using dependency relationships

Lee, Changyong; Song, Bomi; Park, Yongtae - In: Technology analysis & strategic management 25 (2013) 1, pp. 23-38

Persistent link: https://www.econbiz.de/10009713916

Keeping abreast of technology-driven business model evolution : a dynamic patent analysis approach

Lee, Changyong; Park, Hyojin; Park, Yongtae - In: Technology analysis & strategic management 25 (2013) 5, pp. 487-505

Persistent link: https://www.econbiz.de/10009759981

An efficient method for solving a correlated multi-item inventory system

Lee, Chang-Yong; Lee, Dongju - In: Operations research perspectives 5 (2018), pp. 13-21

We propose an efficient method of finding an optimal solution for a multi-item continuous review inventory model in which a bivariate Gaussian probability distribution represents a correlation between the demands of different items. By utilizing appropriate normalizations of the demands, we show...

Persistent link: https://www.econbiz.de/10011956897