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Search: "[ keyword: Severity Prediction ]" (3)
Multi-Modal Deep Learning for COVID-19 Severity Assessment via Gene Expression and Clinical Data Integration
Soojung Ha, Juho Park, Kyuri Jo The Transactions of the Korea Information Processing Society,
Vol. 14, No. 7, pp. 548-554,
Jul.
2025
https://doi.org/10.3745/TKIPS.2025.14.7.548
Keywords: Multi-Modal Deep Learning, COVID-19 Severity Prediction, Gene Expression Analysis, Clinical Data
https://doi.org/10.3745/TKIPS.2025.14.7.548
Keywords: Multi-Modal Deep Learning, COVID-19 Severity Prediction, Gene Expression Analysis, Clinical Data
Development of a Model for Predicting the Severity of Traffic Accidents and Analysis of Accident Factors based on Machine Learning
Kim Jung Hyuk, Cho Nam Wook The Transactions of the Korea Information Processing Society,
Vol. 14, No. 2, pp. 72-81,
Feb.
2025
https://doi.org/10.3745/TKIPS.2025.14.2.72
Keywords: Machine Learning, Big data, Traffic Accident, Severity Prediction, Accident Factors
https://doi.org/10.3745/TKIPS.2025.14.2.72
Keywords: Machine Learning, Big data, Traffic Accident, Severity Prediction, Accident Factors
Proposed TATI Model for Predicting the Traffic Accident Severity
Min-Ji Choo, So-Hyun Park, Young-Ho Park KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 8, pp. 301-310,
Aug.
2021
https://doi.org/10.3745/KTSDE.2021.10.8.301
Keywords: TATI, Color Representation, Severity Prediction, Traffic Accident
https://doi.org/10.3745/KTSDE.2021.10.8.301
Keywords: TATI, Color Representation, Severity Prediction, Traffic Accident
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
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Vol. 11, 2022
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Vol. 10, 2021
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Vol. 9, 2020
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Vol. 8, 2019
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Vol. 7, 2018
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Vol. 6, 2017
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Vol. 5, 2016
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
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All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
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