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Understanding the linkages of smart-city technologies and applications: Key lessons from a text mining approach and a call for future research.

• Authors : Lim, Chiehyeon; Cho, Gi-Hyoug; Kim, Jeongseob

• Source: Technological Forecasting & Social Change. 2021, Vol. 170.

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Deep Learning-Based Multi-Horizon Forecasting for Automated Material Handling System Throughput in Semiconductor Fab.

• Authors : Choi, Jungwoo; Kang, Hyeongwon; Kim, Jeongseob

Subjects: AUTOMATED materials handling; CORPORATE profits; FORECASTING

• Source: IEEE Transactions on Semiconductor Manufacturing; Feb2023, Vol. 36 Issue 1, p113-129, 17p

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Agricola

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Agricola

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Personal attitude or experience? Which factors influence residents' acceptance of mixed-income communities?

• Authors : Luu, Duc Trung; Vo, Dao Chi; Kim, Jeongseob

• Source: PLoS ONE. April 23, 2021, Vol. 16 Issue 4, e0250511

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Defining heatwave thresholds using an inductive machine learning approach

• Authors : Park, Juhyeon; Kim, Jeongseob

• Source: PLoS ONE. Nov 7, 2018, Vol. 13 Issue 11, pe0206872.

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Agricola

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Agricola

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Accelerated System-Level Seismic Risk Assessment of Bridge Transportation Networks through Artificial Neural Network-Based Surrogate Model.

• Authors : Yoon, Sungsik; Kim, Jeongseob; Kim, Minsun

Subjects: EARTHQUAKE hazard analysis; ARTIFICIAL neural networks; SEISMIC networksSOUTH Korea

• Source: Applied Sciences (2076-3417); Sep2020, Vol. 10 Issue 18, p6476, 18p

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Flood risk awareness and property values: evidences from Seoul, South Korea

• Authors : Seo, Jungseok; Oh, Jihun; Kim, Jeongseob

• Source: International Journal of Urban Sciences; April 2021, Vol. 25 Issue: 2 p233-251, 19p

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