يعرض 1 - 10 نتائج من 22 نتيجة بحث عن '"Baekcheon Kim"', وقت الاستعلام: 1.04s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Spatio-Temporal Deep Learning-Based Forecasting of Surface Solar Irradiance: Leveraging Satellite Data and Feature Selection

    المؤلفون: Jinyong Kim, Eunkyeong Kim, Seunghwan Jung, Minseok Kim, Baekcheon Kim, Sungshin Kim

    المصدر: Remote Sensing, Vol 16, Iss 5, p 888 (2024)

    مصطلحات موضوعية: solar irradiance forecasting, deep learning-based feature selection, spatio-temporal deep learning model, solar geometry, GK2A satellite data, Science

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2072-4292/16/5/888; https://doaj.org/toc/2072-4292

    URL الوصول: https://doaj.org/article/7239b0dea60e4be9b81259de917ea4b3

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  2. 2
    دورية أكاديمية
    The Early Detection of Faults for Lithium-Ion Batteries in Energy Storage Systems Using Independent Component Analysis with Mahalanobis Distance

    المؤلفون: Seunghwan Jung, Minseok Kim, Eunkyeong Kim, Baekcheon Kim, Jinyong Kim, Kyeong-Hee Cho, Hyang-A Park, Sungshin Kim

    المصدر: Energies, Vol 17, Iss 2, p 535 (2024)

    مصطلحات موضوعية: independent component analysis, Mahalanobis distance, early fault detection, lithium-ion battery, energy storage system, Technology

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/1996-1073/17/2/535; https://doaj.org/toc/1996-1073

    URL الوصول: https://doaj.org/article/ec295deba5f7464ab81aeae5e7e88b58

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  3. 3
    دورية أكاديمية
    Anomaly Detection Using Puzzle-Based Data Augmentation to Overcome Data Imbalances and Deficiencies

    المؤلفون: Eunkyeong Kim, Seunghwan Jung, Minseok Kim, Jinyong Kim, Baekcheon Kim, Jonggeun Kim, Sungshin Kim

    المصدر: Machines, Vol 11, Iss 11, p 1034 (2023)

    مصطلحات موضوعية: anomaly detection, diagnostic method, data augmentation, data deficiency, data imbalance, deep learning, Mechanical engineering and machinery, TJ1-1570

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2075-1702/11/11/1034; https://doaj.org/toc/2075-1702

    URL الوصول: https://doaj.org/article/1837e393f25f4c7f8e85f3aa84a79985

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  4. 4
    دورية أكاديمية
    PM2.5 Concentration Forecasting Using Weighted Bi-LSTM and Random Forest Feature Importance-Based Feature Selection

    المؤلفون: Baekcheon Kim, Eunkyeong Kim, Seunghwan Jung, Minseok Kim, Jinyong Kim, Sungshin Kim

    المصدر: Atmosphere, Vol 14, Iss 6, p 968 (2023)

    مصطلحات موضوعية: PM2.5 concentration forecasting, bidirectional long short-term memory, random forest, weight method, Meteorology. Climatology, QC851-999

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2073-4433/14/6/968; https://doaj.org/toc/2073-4433

    URL الوصول: https://doaj.org/article/c4ae2931292545c98eb77c10461b3ff0

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  5. 5
    دورية أكاديمية
    Fault Detection Method via k-Nearest Neighbor Normalization and Weight Local Outlier Factor for Circulating Fluidized Bed Boiler with Multimode Process

    المؤلفون: Minseok Kim, Seunghwan Jung, Baekcheon Kim, Jinyong Kim, Eunkyeong Kim, Jonggeun Kim, Sungshin Kim

    المصدر: Energies, Vol 15, Iss 17, p 6146 (2022)

    مصطلحات موضوعية: fluidized bed boiler, fault detection, weighted normalization, local outlier factor, Technology

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/1996-1073/15/17/6146; https://doaj.org/toc/1996-1073

    URL الوصول: https://doaj.org/article/14eeec99af794e358f258e84f5a32f35

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  6. 6
    PM2.5 Concentration Forecasting Using Weighted Bi-LSTM and Random Forest Feature Importance-Based Feature Selection

    المؤلفون: Kim, Baekcheon Kim, Eunkyeong Kim, Seunghwan Jung, Minseok Kim, Jinyong Kim, Sungshin

    المصدر: Atmosphere; Volume 14; Issue 6; Pages: 968

    مصطلحات موضوعية: PM2.5 concentration forecasting, bidirectional long short-term memory, random forest, weight method

    وصف الملف: application/pdf

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=multidiscipl::912f32011c9286abb759f3b7344d84c4

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  7. 7
    A Study on the Performance Improvement of Hourly Solar Radiation Forecasting using k-Nearest Neighbor and Long Short-Term Memory

    المؤلفون: Minseok Kim, Seunghwan Jung, Baekcheon Kim, Jin-Yong Kim, Sungshin Kim

    المصدر: Journal of Korean Institute of Intelligent Systems. 32:225-230

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::245e6a120f75701e37960858711af744
    https://doi.org/10.5391/jkiis.2022.32.3.225

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  8. 8
    Fault Detection Method Based on k-Nearest Neighbor Normalization and Weight Local Outlier Factor for Multimode Process Circulating Fluidized Bed Boiler

    المؤلفون: Minseok Kim, Seunghwan Jung, Baekcheon Kim, Jinyong Kim, Eunkyeong Kim, Jonggeun Kim, Sungshin Kim

    المصدر: Research and Developments in Engineering Research Vol. 1 ISBN: 9788119102716

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a10d97253b349c99dfc4da7164271959
    https://doi.org/10.9734/bpi/rader/v1/18871d

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  9. 9
    Automatic Traffic Control Based on Node Network Model using Tree-type Data Analysis

    المؤلفون: Eun Kyeong Kim, Baekcheon Kim, Sungshin Kim, Daekeon Ha, Jin Yong Kim

    المصدر: Journal of Korean Institute of Intelligent Systems. 31:355-360

    مصطلحات موضوعية: Tree (data structure), Computer science, Control (management), Data mining, Type (model theory), computer.software_genre, computer

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ea8e3de3d814abaab09bb3dc8d3a0ffe
    https://doi.org/10.5391/jkiis.2021.31.5.355

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  10. 10
    Tool Diagnosis Method of CNC Machine based on Color Space Conversion and Deep Learning

    المؤلفون: Eun Kyeong Kim, Seunghwan Jung, Minseok Kim, Jin Yong Kim, Baekcheon Kim, Sungshin Kim

    المصدر: 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS).

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1b6bb4f59807f5048a25914a8761d093
    https://doi.org/10.1109/scisisis55246.2022.10002097

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