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Search: "[ keyword: prediction ]" (84)
Transformer-based Short-term Drought Prediction with Feature Selection
Seo Jae Hyun The Transactions of the Korea Information Processing Society,
Vol. 14, No. 4, pp. 282-288,
Apr.
2025
https://doi.org/10.3745/TKIPS.2025.14.4.282
Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection
Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection
Solar Power Generation Forecasting using a Hybrid LSTM-Linear Model with Multi-Head Attention
Hyeonseok Jin, David J. Richter, MD Ilias Bappi, Kyungbaek Kim The Transactions of the Korea Information Processing Society,
Vol. 14, No. 2, pp. 123-133,
Feb.
2025
https://doi.org/10.3745/TKIPS.2025.14.2.123
Keywords: Solar Power Prediction, Power generation, prediction, Time Series, Deep Learning
Keywords: Solar Power Prediction, Power generation, prediction, Time Series, Deep Learning
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
Keywords: Machine Learning, Big data, Traffic Accident, Severity Prediction, Accident Factors
Pedestrian Road-Crossing Prediction and Safety Enhancement Using Fine-tuned VideoLLaMA2
Sung Hun Kim, Je-Seok Ham, Jinyoung Moon The Transactions of the Korea Information Processing Society,
Vol. 14, No. 1, pp. 32-40,
Jan.
2025
https://doi.org/10.3745/TKIPS.2025.14.1.32
Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning
Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
- Vol. 12, No. 10 (Oct. 2023)
- Vol. 12, No. 9 (Sep. 2023)
- Vol. 12, No. 8 (Aug. 2023)
- Vol. 12, No. 7 (Jul. 2023)
- Vol. 12, No. 6 (Jun. 2023)
- Vol. 12, No. 5 (May. 2023)
- Vol. 12, No. 4 (Apr. 2023)
- Vol. 12, No. 3 (Mar. 2023)
- Vol. 12, No. 2 (Feb. 2023)
- Vol. 12, No. 1 (Jan. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
- Vol. 11, No. 11 (Nov. 2022)
- Vol. 11, No. 10 (Oct. 2022)
- Vol. 11, No. 9 (Sep. 2022)
- Vol. 11, No. 8 (Aug. 2022)
- Vol. 11, No. 7 (Jul. 2022)
- Vol. 11, No. 6 (Jun. 2022)
- Vol. 11, No. 5 (May. 2022)
- Vol. 11, No. 4 (Apr. 2022)
- Vol. 11, No. 3 (Mar. 2022)
- Vol. 11, No. 2 (Feb. 2022)
- Vol. 11, No. 1 (Jan. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
- Vol. 10, No. 11 (Nov. 2021)
- Vol. 10, No. 10 (Oct. 2021)
- Vol. 10, No. 9 (Sep. 2021)
- Vol. 10, No. 8 (Aug. 2021)
- Vol. 10, No. 7 (Jul. 2021)
- Vol. 10, No. 6 (Jun. 2021)
- Vol. 10, No. 5 (May. 2021)
- Vol. 10, No. 4 (Apr. 2021)
- Vol. 10, No. 3 (Mar. 2021)
- Vol. 10, No. 2 (Feb. 2021)
- Vol. 10, No. 1 (Jan. 2021)
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Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
- Vol. 9, No. 11 (Nov. 2020)
- Vol. 9, No. 10 (Oct. 2020)
- Vol. 9, No. 9 (Sep. 2020)
- Vol. 9, No. 8 (Aug. 2020)
- Vol. 9, No. 7 (Jul. 2020)
- Vol. 9, No. 6 (Jun. 2020)
- Vol. 9, No. 5 (May. 2020)
- Vol. 9, No. 4 (Apr. 2020)
- Vol. 9, No. 3 (Mar. 2020)
- Vol. 9, No. 2 (Feb. 2020)
- Vol. 9, No. 1 (Jan. 2020)
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Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
- Vol. 8, No. 11 (Nov. 2019)
- Vol. 8, No. 10 (Oct. 2019)
- Vol. 8, No. 9 (Sep. 2019)
- Vol. 8, No. 8 (Aug. 2019)
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- Vol. 8, No. 6 (Jun. 2019)
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- Vol. 8, No. 3 (Mar. 2019)
- Vol. 8, No. 2 (Feb. 2019)
- Vol. 8, No. 1 (Jan. 2019)
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
- Vol. 7, No. 11 (Nov. 2018)
- Vol. 7, No. 10 (Oct. 2018)
- Vol. 7, No. 9 (Sep. 2018)
- Vol. 7, No. 8 (Aug. 2018)
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- Vol. 7, No. 1 (Jan. 2018)
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Vol. 6, 2017
- Vol. 6, No. 12 (Dec. 2017)
- Vol. 6, No. 11 (Nov. 2017)
- Vol. 6, No. 10 (Oct. 2017)
- Vol. 6, No. 9 (Sep. 2017)
- Vol. 6, No. 8 (Aug. 2017)
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- Vol. 6, No. 1 (Jan. 2017)
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Vol. 5, 2016
- Vol. 5, No. 12 (Dec. 2016)
- Vol. 5, No. 11 (Nov. 2016)
- Vol. 5, No. 10 (Oct. 2016)
- Vol. 5, No. 9 (Sep. 2016)
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- Vol. 5, No. 1 (Jan. 2016)
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Vol. 4, 2015
- Vol. 4, No. 12 (Dec. 2015)
- Vol. 4, No. 11 (Nov. 2015)
- Vol. 4, No. 10 (Oct. 2015)
- Vol. 4, No. 9 (Sep. 2015)
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- Vol. 4, No. 2 (Feb. 2015)
- Vol. 4, No. 1 (Jan. 2015)
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Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
- Vol. 3, No. 11 (Nov. 2014)
- Vol. 3, No. 10 (Oct. 2014)
- Vol. 3, No. 9 (Sep. 2014)
- Vol. 3, No. 8 (Aug. 2014)
- Vol. 3, No. 7 (Jul. 2014)
- Vol. 3, No. 6 (Jun. 2014)
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- Vol. 3, No. 4 (Apr. 2014)
- Vol. 3, No. 3 (Mar. 2014)
- Vol. 3, No. 2 (Feb. 2014)
- Vol. 3, No. 1 (Jan. 2014)
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Vol. 2, 2013
- Vol. 2, No. 12 (Dec. 2013)
- Vol. 2, No. 11 (Nov. 2013)
- Vol. 2, No. 10 (Oct. 2013)
- Vol. 2, No. 9 (Sep. 2013)
- Vol. 2, No. 8 (Aug. 2013)
- Vol. 2, No. 7 (Jul. 2013)
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- Vol. 2, No. 2 (Feb. 2013)
- Vol. 2, No. 1 (Jan. 2013)
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Vol. 1, 2012
Old Journals
Indexing
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).