Industrial AI: SCI

History . . . . 1 match
2010.11.01. 대학원생 첫번째 SCI저널 논문게재(Pablo, IEICE Tran. on Comm.)
IAI Lab. . . . . 18 matches
      * [https://www.sciencedirect.com/book/9780323856485/human-centered-artificial-intelligence View on '''ScienceDirect''']
      * '''Josue Obregon''' and Jae-Yoon Jung*, "Rule-based Visualization of Faulty Process Conditions in the '''Die-casting''' Manufacturing", ''Journal of Intelligent Manufacturing'', vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15.5%, CS/AI) (Ack: Engy, OCC). [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://link.springer.com/content/pdf/10.1007/s10845-022-02057-1.pdf pdf] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ pdf]
      * '''Josue Obregon''', Jihoon Hong, Jae-Yoon Jung*, "Rule-based Explanations Based on Ensemble Machine Learning for Detecting Sink Mark Defects in the '''Injection Moulding''' Process", ''Journal of Manufacturing Systems'', Vol. 60, Jul. 2021, pp. 392-405 (SCIE, IF=8.633, 0.6%, OR/MS). [https://www.sciencedirect.com/science/article/pii/S0278612521001382?via%3Dihub link]
      * '''Aekyung Kim''', Kyuhyup Oh, Jae-Yoon Jung*, and Bohyun Kim, "'''Imbalanced Classification''' of Manufacturing Quality Conditions Using Cost-Sensitive Decision Tree Ensembles",''International Journal of Computer Integrated Manufacturing'', Vol. 31, No. 8, Aug 2018, pp. 701-717. (SCIE, IF=2.090, 38%, OR/MS) [http://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1407447 link] [http://www.tandfonline.com/eprint/9JwDxaSmfSsizDnrzsSC/full pdf]
      * '''Jimin Kim, Josue Obregon, Hoonseok Park''', Jae-Yoon Jung*, "Multi-step day-ahead '''photovoltaic power forecasting''' using transformer networks with pretrained recurrent neural networks", ''Renewable and Sustainable Energy Reviews'', vol. 200, Aug 2024, 114479. (SCIE, '''IF=15.9, 3.3%(2/46)''', GSST) (Ack: Engy, AIC). [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link pdf]
      * '''Josue Obregon''', '''Yu-Ri Han''', Chang Won Ho, Devanadane Mouraliraman, Chang Woo Lee*, and Jae-Yoon Jung*, "Convolutional Autoencoder-based '''SOH Estimation of Lithium-ion Batteries''' Using Electrochemical Impedance Spectroscopy", ''Journal of Energy Storage'', Vol. 60, Apr. 2023, 106680. (SCIE, IF=8.907, 19.0%, E&F) (Ack: Engy, AIC). [https://www.sciencedirect.com/science/article/pii/S2352152X23000774 link] [https://drive.google.com/file/d/1PcnCnPpboJztMafFdJLYtpLfWpZdWUd6/ pdf]
      * '''Berny Carrera''', '''Min Kyu Sim'''*, and Jae-Yoon Jung, "PVHybNet: A Hybrid Framework for '''Predicting Photovoltaic Power Generation''' Using Both Weather Forecast and Observation Data", ''IET Renewable Power Generation'', Vol. 14, No. 12, Sep. 2020, pp. 2192-2201. (SCIE, IF=3.894, 21%, EEE) [https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2018.6174 link] [https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2018.6174 pdf]
      * '''Donghyun Park''', Hoonseok Park, Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "'''Spatio-temporal explanation''' of 3D-EEGNet for motor imagery EEG classification using permutation and saliency", ''IEEE Transactions on Neural Systems and Rehabilitation Engineering'', vol. 31, Nov 2023, pp. 4504-4513. (SCIE, IF=4.9, __5.1%__, Reh) (Ack: EEG, AIC). [https://ieeexplore.ieee.org/document/10310256/ link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10310256 pdf]
      * Sanghyun Choo, '''Hoonseok Park''', Sangyeon Kim, '''Donghyun Park''', Jae-Yoon Jung, Sangwon Lee, and Chang S. Nam*, "Effectiveness of Multi-Task Deep Learning Framework for EEG-based '''Emotion and Context Recognition'''", ''Expert Systems with Applications'', vol. 227, Oct 2023, 120348. (SCIE, IF=8.5, __6.4%__, OR/MS) (Ack: EEG, etc.)[https://doi.org/10.1016/j.eswa.2023.120348 link] [https://www.sciencedirect.com/science/article/pii/S0957417423008503/pdfft?md5=93b0a87825134dc63c2de87b7dd63950&pid=1-s2.0-S0957417423008503-main.pdf pdf]
      * Sangyeon Kim, Sanghyun Choo, Donghyun Park, Hoonseok Park, Chang S. Nam, Jae-Yoon Jung, and Sangwon Lee*, "Designing an '''XAI Interface for BCI Experts''': A Contextual Design for Pragmatic Explanation Interface Based on Domain Knowledge in a Specific Context", ''International Journal of Human-Computer Studies'', vol. 174, Jun 2023, 103009. (SSCI, IF=5.4, 11.9%, Ergo) (Ack: EEG, etc). [https://www.sciencedirect.com/science/article/pii/S1071581923000150 link] [https://www.sciencedirect.com/science/article/pii/S1071581923000150/pdfft?md5=c43d7a6ff62416f94cb62fc20b7ce6c6&pid=1-s2.0-S1071581923000150-main.pdf pdf]
      * '''Josue Obregon''' and Jae-Yoon Jung*, "'''RuleCOSI+''': Rule Extraction for Interpreting Classification Tree Ensembles", ''Information Fusion'', Vol. 89, Jan. 2023, 355-381. (SCIE, IF=__17.564, 0.45%(1/109)__, CS/T&M) (Ack: Engy, OCC). [https://www.sciencedirect.com/science/article/pii/S1566253522001129 link] [https://www.sciencedirect.com/science/article/pii/S1566253522001129/pdfft?md5=0b58e19ec75339e444a7354d6b745245&pid=1-s2.0-S1566253522001129-main.pdf pdf] [https://drive.google.com/file/d/1qYXTT5mcOtSKSo9bXY6R_lpeID5BnILc/ pdf]
      * '''Josue Obregon''', Aekyung Kim, and Jae-Yoon Jung*, "'''RuleCOSI''': Combination and Simplification of Production Rules from Boosted Decision Trees for Imbalanced Classification", ''Expert Systems with Applications'', Vol. 126, Jul 2019, pp. 64-82. (SCIE, IF=4.292, 8%, OR/MS) [https://doi.org/10.1016/j.eswa.2019.02.012 link] [https://drive.google.com/file/d/1FwMrNQXNCo_6g0U9O52n47DEN5oURglI/view?usp=sharing pdf]
      * '''Donghyun Park''', Hoonseok Park, Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "'''Spatio-temporal explanation''' of 3D-EEGNet for motor imagery EEG classification using permutation and saliency", ''IEEE Transactions on Neural Systems and Rehabilitation Engineering'', vol. 31, Nov 2023, pp. 4504-4513. (SCIE, IF=4.9, __5.1%__, Reh) (Ack: EEG, AIC). [https://ieeexplore.ieee.org/document/10310256/ link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10310256 pdf]
      * '''Young-Suk Han''' and Jae-Yoon Jung*, "A Stable Multi-Object Tracking Method for Unstable and Irregular Maritime Environments", ''Journal of Marine Science and Engineering'', 12(12), Dec 2024, 2252. (SCIE, IF=2.7, 22%(6/25), MRE) (Ack: DAPA, AIC) [https://doi.org/10.3390/jmse12122252 doi] [https://www.mdpi.com/2077-1312/12/12/2252/pdf?version=1733749085 pdf]
      * '''Bitzel Cortez''', Berny Carrera, Young-Jin Kim, and Jae-Yoon Jung*, "An Architecture for '''Emergency Event Prediction''' Using LSTM Recurrent Neural Networks", ''Expert Systems with Applications'', Vol. 97, May 2018, pp. 315-324. (SCIE, IF=3.928, 3%, OR/MS) [http://www.sciencedirect.com/science/article/pii/S0957417417308606 link] [https://ac.els-cdn.com/S0957417417308606/1-s2.0-S0957417417308606-main.pdf?_tid=7a175d9c-e6fe-11e7-ad42-00000aab0f6b&acdnat=1513936810_8ee150967c2d415218f873f9ad50ff39 pdf]
      * YeonJun In and Jae-Yoon Jung*, "Simple Averaging of '''Direct and Recursive Forecasts''' via Partial Pooling Using Machine Learning", ''International Journal of Forecasting'', Vol. 38, No. 4, Oct. 2022, pp. 1386-1399. (SSCI, IF=7.022, 6.2%(24/379), Econo) [https://www.sciencedirect.com/science/article/pii/S0169207021001813 link] [https://drive.google.com/file/d/1iwTewGKMoyxPBM1QGUUFbFjnR0V_5y7L/ pdf]
      * '''Hoonseok Park''' and Jae-Yoon Jung*, "'''SAX-ARM: Deviated Event Pattern Discovery''' from Multivariate Time-Series Using Symbolic Aggregate Approximation and Association Rule Mining", ''Expert Systems with Applications'', Vol. 141, Mar 2020, 112950. (SCIE, IF=5.452, 1.8%, OR/MS)
      * '''Kwanho Kim''', Kyuhyup Oh, Yeong Kyu Lee, SungHo Kim, and Jae-Yoon Jung*, "An Analysis on '''Movement Patterns between Zones''' Using Smart Card Data in Subway Networks", ''International Journal of Geographical Information Science'', Vol. 28, No. 9, Sep 2014, pp. 1781-1801. [http://web.khu.ac.kr/~jung/paper/Jung_IJ_2014_IJGIS.pdf pdf]
      * '''Josue Obregon''', Minseok Song, and Jae-Yoon Jung*, "'''InfoFlow''': Mining Information Flow Based on User Community in Social Networking Services", ''IEEE Access'', Vo. 7, Apr 2019, pp. 48024-48036. (SCIE, IF=4.098, 14%, CS/IS) [https://ieeexplore.ieee.org/document/8681519?arnumber=8681519 link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8681519 pdf]
      2010.11.01. 대학원생 첫번째 SCI저널 논문게재(Pablo, IEICE Tran. on Comm.)
JYJung . . . . 18 matches
      * 2005.12~2006.11, Visiting Scholar, Process Mining Group, Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, The Netherlands
      * 2013.12~2016.12, Editorial Board for [http://www.hindawi.com/25608057/ The Scientific World Journal]
      * 2025 PC Member of [https://icsbt.scitevents.org/?y=2025 ICSBT 2025]
      * 2024 PC Member of [https://icsbt.scitevents.org/?y=2024 ICSBT 2024], CIIS 2024
      * 2023 PC Member of [https://icsbt.scitevents.org/?y=2023 ICSBT 2023], [https://data.scitevents.org/?y=2023 Data 2023]
      1. '''Josue Obregon''' and Jae-Yoon Jung*, "'''RuleCOSI+''': Rule Extraction for Interpreting Classification Tree Ensembles", ''Information Fusion'', Vol. 89, Jan. 2023, 355-381. (SCIE, IF=__17.564, 0.45%(1/109)__, CS/T&M) (Ack: Engy, OCC). [https://www.sciencedirect.com/science/article/pii/S1566253522001129 link] [https://www.sciencedirect.com/science/article/pii/S1566253522001129/pdfft?md5=0b58e19ec75339e444a7354d6b745245&pid=1-s2.0-S1566253522001129-main.pdf pdf] [https://drive.google.com/file/d/1qYXTT5mcOtSKSo9bXY6R_lpeID5BnILc/ pdf]
      1. '''Josue Obregon''', Aekyung Kim, and Jae-Yoon Jung*, "'''RuleCOSI''': Combination and Simplification of Production Rules from Boosted Decision Trees for Imbalanced Classification", Expert Systems with Applications, Vol. 126, Jul 2019, pp. 64-82. (SCIE, IF=4.292, 8%, OR/MS) [https://doi.org/10.1016/j.eswa.2019.02.012 link] [https://drive.google.com/file/d/1FwMrNQXNCo_6g0U9O52n47DEN5oURglI/view?usp=sharing pdf]
      1. '''Donghyun Park''', Hoonseok Park, Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "'''Spatio-temporal explanation''' of 3D-EEGNet for motor imagery EEG classification using permutation and saliency", ''IEEE Transactions on Neural Systems and Rehabilitation Engineering'', vol. 31, Nov 2023, pp. 4504-4513. (SCIE, IF=4.9, __5.1%__, Reh) (Ack: EEG, AIC). [https://ieeexplore.ieee.org/document/10310256/ link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10310256 pdf]
      1. '''Young-Suk Han''' and Jae-Yoon Jung, "Imitation learning of job dispatching data combining classification and ranking", ''CAIE'', submitted 241010. (SCIE, IF=6.7, 11.5%(20/169), CS/IA)
      1. '''Seohyun Choi''', Young Ha Joo, Hoonseok Park, Younkook Kang, Ri Choe, and Jae-Yoon Jung*, "Travel Time Prediction for Line-to-line Transfers in a '''Semiconductor Fab''': A Case Study", ''RCIM'', under revision 240416. (SCIE, IF=10.4, 5.9%, CS/IA)
      1. '''Josue Obregon''' and Jae-Yoon Jung*, "Rule-based Visualization of Faulty Process Conditions in the '''Die-casting''' Manufacturing", ''Journal of Intelligent Manufacturing'', vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15.5%, CS/AI) (Ack: Engy, OCC). [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://link.springer.com/content/pdf/10.1007/s10845-022-02057-1.pdf pdf] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ pdf]
      1. '''Josue Obregon''', Jihoon Hong, Jae-Yoon Jung*, "Rule-based Explanations Based on Ensemble Machine Learning for Detecting Sink Mark Defects in the '''Injection Moulding''' Process", Journal of Manufacturing Systems, Vol. 60, Jul. 2021, pp. 392-405 (SCIE, IF=8.633, 0.6%, OR/MS). [https://www.sciencedirect.com/science/article/pii/S0278612521001382?via%3Dihub link]
      1. '''Aekyung Kim''', Kyuhyup Oh, Jae-Yoon Jung*, and Bohyun Kim, "'''Imbalanced Classification''' of Manufacturing Quality Conditions Using Cost-Sensitive Decision Tree Ensembles", International Journal of Computer Integrated Manufacturing, Vol. 31, No. 8, Aug 2018, pp. 701-717. (SCIE, IF=2.090, 38%, OR/MS) [http://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1407447 link] [http://www.tandfonline.com/eprint/9JwDxaSmfSsizDnrzsSC/full pdf]
      1. '''Jimin Kim, Josue Obregon, Hoonseok Park''', Jae-Yoon Jung*, "Multi-step day-ahead '''photovoltaic power forecasting''' using transformer networks with pretrained recurrent neural networks", ''Renewable and Sustainable Energy Reviews'', vol. 200, Aug 2024, 114479. (SCIE, __'''IF=15.9, 3.3%(2/46)'''__, GSST) (Ack: Engy, AIC). [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link pdf]
      1. '''Josue Obregon''', '''Yu-Ri Han''', Chang Won Ho, Devanadane Mouraliraman, Chang Woo Lee*, and Jae-Yoon Jung*, "Convolutional Autoencoder-based '''SOH Estimation of Lithium-ion Batteries''' Using Electrochemical Impedance Spectroscopy", ''Journal of Energy Storage'', Vol. 60, Apr. 2023, 106680. (SCIE, IF=8.907, 19.0%, E&F) (Ack: Engy, AIC). [https://www.sciencedirect.com/science/article/pii/S2352152X23000774 link] [https://drive.google.com/file/d/1PcnCnPpboJztMafFdJLYtpLfWpZdWUd6/ pdf]
      1. '''Berny Carrera''', '''Min Kyu Sim'''*, and Jae-Yoon Jung, "PVHybNet: A Hybrid Framework for '''Predicting Photovoltaic Power Generation''' Using Both Weather Forecast and Observation Data", ''IET Renewable Power Generation'', Vol. 14, No. 12, Sep. 2020, pp. 2192-2201. (SCIE, IF=3.894, 21%, EEE) [https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2018.6174 link] [https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2018.6174 pdf]
      1. YeonJun In and Jae-Yoon Jung*, "Simple Averaging of '''Direct and Recursive Forecasts''' via Partial Pooling Using Machine Learning", International Journal of Forecasting, Vol. 38, No. 4, Oct. 2022, pp. 1386-1399. (SSCI, IF=7.022, 6.2%(24/379), Econo) [https://www.sciencedirect.com/science/article/pii/S0169207021001813 link] [https://drive.google.com/file/d/1iwTewGKMoyxPBM1QGUUFbFjnR0V_5y7L/ pdf]
      1. '''Hoonseok Park''' and Jae-Yoon Jung*, "'''SAX-ARM: Deviated Event Pattern Discovery''' from Multivariate Time-Series Using Symbolic Aggregate Approximation and Association Rule Mining", Expert Systems with Applications, Vol. 141, Mar 2020, 112950. (SCIE, IF=5.452, 1.8%, OR/MS)
      1. '''Bitzel Cortez''', Berny Carrera, Young-Jin Kim, and Jae-Yoon Jung*, "An Architecture for '''Emergency Event Prediction''' Using LSTM Recurrent Neural Networks", Expert Systems with Applications, Vol. 97, May 2018, pp. 315-324. (SCIE, IF=3.928, 3%, OR/MS) [http://www.sciencedirect.com/science/article/pii/S0957417417308606 link] [https://ac.els-cdn.com/S0957417417308606/1-s2.0-S0957417417308606-main.pdf?_tid=7a175d9c-e6fe-11e7-ad42-00000aab0f6b&acdnat=1513936810_8ee150967c2d415218f873f9ad50ff39 pdf]
      1. '''Kwanho Kim''', Kyuhyup Oh, Yeong Kyu Lee, SungHo Kim, and Jae-Yoon Jung*, "An Analysis on '''Movement Patterns between Zones''' Using Smart Card Data in Subway Networks", International Journal of Geographical Information Science, Vol. 28, No. 9, Sep 2014, pp. 1781-1801. [http://web.khu.ac.kr/~jung/paper/Jung_IJ_2014_IJGIS.pdf pdf]
Publications . . . . 44 matches
      1. '''Donghyun Park''' and Jae-Yoon Jung*, "Explainable domain generalization for time series", ''IF'', to be submitted. (SCIE, IF=14.7, 1.0%(2/143), CS/TM)
      1. '''Jeong-Eon Ahn, Young-Suk Han''', and Jae-Yoon Jung*, "A Machine Learning-based Constructive Scheduling Method for Multi-objective Scheduling using Learning MIP Solutions", ''IJPR'', to be submitted. (SCIE, IF=7.0, 14%(10/69), IE) - 수정중
      1. '''Young Ha Joo, Seohyun Choi, Hoonseok Park''', Jae-Yoon Jung*, Younkook Kang, and Ri Choe, "Traffic flow speed prediction in semiconductor fab using temporal graph convolutional networks", ''JIII'', to be submitted. (SCIE, IF=10.4, 2.7%(5/169), CS/IA) - 교정
      1. '''Hoonseok Park, Young Ha Joo''', Donghun Lee, Haejoong Kim, Ri Choe, Younkook Kang, Kwanho Kim and Jae-Yoon Jung*, "Rail Network-Embedded Neural Networks for Travel Time Prediction of OHT in a Semiconductor Fab", ''TII'', to be resubmitted. (SCIE, IF=11.7, 1.5%(3/169), CS/IA) - 교정
      1. '''Hoonseok Park''', '''Donghyun Park''', Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "Perturbation-based Influence Estimation for Example-based Explanation of Convolutional Neural Networks in EEG-based BCI", ''TSMC'', to be submitted. (SCIE, IF=8.6, 5.4%(5/84), ACS) - 교정
      1. '''Donghyuk Jang, Seohyun Choi''', and Jae-Yoon Jung*, "Interpretable open-set recognition for fault diagnosis of rotating machines", ''JMS'', to be submitted. (SCIE, IF=12.2, 0.5%(1/69), OR/MS) - 교정
      1. '''Hanik Cho, Donghyun Park,''' and Jae-Yoon Jung, "Supervised contrastive learning for fault classification of rotating machines", ''AEI'', to be submitted. (SCIE, IF=8.0, 2.0%(4/179), E/MD) - 완성
      1. '''Donghyun Park, Junmo An''', and Jae-Yoon Jung*, "Performance Comparison of One-class Classification Tech-niques for Fault Detection Based on Vibration Data", ''Processes'', to be submitted. (SCIE, IF=2.8, 47%(80/170), CE) - 완성
      1. '''Aekyung Kim''' and Jae-Yoon Jung*, "DQN: Multi-objective Scheduling Using Deep Reinforcement Learning", ''JIM'', under revision 230705. (SCIE, IF=5.9, 19%(39/197), CS/AI) (Ack: AIC, OCC) - 완성
      1. '''Young-Suk Han''' and Jae-Yoon Jung*, "Job Dispatching Method for Production Scheduling Using Machine-Learned Ranking", ''IJPR'', to be submitted. (SCIE, IF=7.0, 14%(10/69), IE) - 완성
      1. '''Seohyun Choi, Young Ha Joo, Hoonseok Park''', Younkook Kang, Ri Choe, and Jae-Yoon Jung*, "Travel Time Prediction for Line-to-line Transfers in a Semiconductor Fab: A Case Study", ''JMS'', to be submitted. (SCIE, IF=12.2, 0.5%(1/69), OR/MS) - 완성
      1. '''Donghyuk Jang, Seohyun Choi''', and Jae-Yoon Jung*, "Fault Monitoring and Visualization System of Integrating Multiclass Mahalanobis-Taguchi Systems and Principal Component Analysis", ''EAAI'', under revision 240501. (SCIE, IF=8.0, 5.0%, MDE)
      1. Donghun Lee, Suhee Kim, '''Hoonseok Park''', Haejoong Kim, Ri Choe, Younkook Kang, Jae-Yoon Jung, and Kwanho Kim*, "An integrated neural network-based traffic congestion prediction for material handling systems of semiconductor manufacturing", ''IEEE Access'', under revision 250406. (SCIE, IF=3.4, 35%, IS)
      1. '''Young-Suk Han''' and Jae-Yoon Jung, "Imitation learning of job dispatching data combining classification and ranking", ''Computers & Industrial Engineering'', accepted 250606. (SCIE, IF=6.7, 11.5%, CS/IA) [doi] [pdf]
      1. '''Donghyun Park''', Jae-Yoon Jung*, and Beom Jin Park, "Estimation of Ship Operational Performance Degradation Using Fuel Oil Consumption Prediction Models Based on Deep Neural Networks with Shortcut Connection", ''International Journal of Naval Architecture and Ocean Engineering'', online published 250529. (SCIE, IF=2.3, 30%, Marine) (Ack: Ship, AIC) [https://doi.org/10.1016/j.ijnaoe.2025.100666 doi] [pdf]
      1. '''Yu-Ri Han''', '''Donghyun Park''', '''Young-Suk Han''', and Jae-Yoon Jung*, "Cost-efficient Active Transfer Learning Framework for Object Detection from Engineering Documents", ''Processes'', 13(6), 1657. (SCIE, IF=2.8, 47%) (Ack: Qual, AIC) [https://doi.org/10.3390/pr13061657 doi] [https://www.mdpi.com/2227-9717/13/6/1657/pdf?version=1748164201 pdf]
      1. '''Young-Suk Han''' and Jae-Yoon Jung*, "A Stable Multi-Object Tracking Method for Unstable and Irregular Maritime Environments", ''Journal of Marine Science and Engineering'', 12(12), Dec 2024, 2252. (SCIE, IF=2.7, 22%(6/25), MRE) (Ack: DAPA, AIC) [https://doi.org/10.3390/jmse12122252 doi] [https://www.mdpi.com/2077-1312/12/12/2252/pdf?version=1733749085 pdf]
      1. Sanghyun Choo, '''Hoonseok Park''', Jae-Yoon Jung, Kevin Flores, and Chang S. Nam*, "Improving Classification Performance of Motor Imagery BCI through EEG Data Augmentation with Conditional Generative Adversarial Networks", ''Neural Networks'', vol. 180, Dec 2024, 106665. (SCIE, IF=6.0, __'''10%'''__, Neuro) [https://doi.org/10.1016/j.neunet.2024.106665 doi]
      1. '''Jimin Kim, Josue Obregon, Hoonseok Park''', Jae-Yoon Jung*, "Multi-step day-ahead photovoltaic power forecasting using transformer networks with pretrained recurrent neural networks", ''Renewable and Sustainable Energy Reviews'', vol. 200, Aug 2024, 114479. (SCIE, __'''IF=15.9, 3.3%(2/46)'''__, GSST) (Ack: Engy, AIC). [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link pdf]
      1. '''Josue Obregon''' and Jae-Yoon Jung*, "Rule-based Visualization of Faulty Process Conditions in the Die-casting Manufacturing", ''Journal of Intelligent Manufacturing'', vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15.5%, CS/AI) (Ack: Engy, OCC). [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ pdf]
Seminars . . . . 22 matches
      * 최신 논문 세미나: SCI 저널 (1편씩) - 50분
      * 해상AI: SCI논문 게재 1편(영석 EO Tracking or 유리AL), 해외 컨퍼런스 발표 1개 (영석 Tracking)
      * [https://jcr.clarivate.com/jcr/home SCIE journal]
      * 개인별 신년 논문계획 (SCI 논문 편수 및 컨퍼런스 계획)
      * 장동혁. 조한익: SCI용 Full manuscript 작성 (~5/15), 발췌해서 일본 6-page paper 작성(~5/22)
      * 우리 연구실 SCI 출판논문을 읽고 발표 (8월~10월) – 발표자 선정 필요함
      * 8/7 : Submission to SCI Journal
      * 영하 - SCI Submission
      * UNet : Processes (SCIE, mdpi)
      * SCI Paper Review [50 min] + Research Progress Report [50 min]
      * 10/14 - (SCI)최서현, (Research)한영석
      * 11/11 - (SCI)박동현, (Research)주영하
      * 11/18 - (SCI)Josue, (Research)한유리
      * 12/23 - (SCI)박훈석, (Research)최서현
      * 12/30 - (SCI)김지민, (Research)박동현
      * 01/06 - (SCI)한유리, (SCI)주영하
      * SCI급 국제저널 - 1저자만 지급
      * Han : Sample size에 따른 효과 검증, 다른 데이터셋 추가 검증 (저차원, 중차원, 고차원) -> Info. Sci. cf. 유사논문과 차별화 시키기
      * Wu, D., Lin, C. T., & Huang, J. (2019). Active learning for regression using greedy sampling. Information Sciences, 474, 90-105.
      * SCI Paper (40 min)
WorkingPapers . . . . 1 match
1. (Korean) Jae-Yoon Jung and '''Hwanghyun Ma''', "Process Mining for GPS", C&GIS: new SSCI (0.611)
mbo2014 . . . . 2 matches
|| ||?SCI(E) 논문 3편 읽기 ||
|| ||SCI(E) 논문 3편 읽기 ||정보 확산 논문으로 대체 ||-- ||
mbo2015 . . . . 2 matches
* Kwanho Kim, Hyunjin Kim, Sang-Kuk Kim, and Jae-Yoon Jung*, "An Intelligent Risk Management Framework based on Real-Time Context Awareness for Ubiquitous Cold Chain Logistics", LBL: new SSCI(2.02)
* Jae-Yoon Jung, Hwanghyun Ma, and Minseok Song, "Process Mining for GPS", C&GIS: new SSCI (0.611)
meeting . . . . 11 matches
      * 주제: 1) 관심 SCI Paper 1~3편, 2) 자신의 학위논문 주제
      * 저널: [http://www.tandfonline.com/loi/tgis20#.VYbLxfmqpBd IJGIS (geo-science)] [http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=69 IEEE TKDE (algorithm)] [http://www.sciencedirect.com/science/journal/aip/03064379 IS (process mining)]
      * Kwanho & Hyunjin's -> EIS: #1 (9.256) -> LBL: new SSCI(2.02)
      * Jinsung's MS thesis -> JSIS: SSCI/SCIE (1.500) until 20 May 2014
      * Chihyung's -> JSM: new SSCI (0.658) : Innavative Service Design Through Virtual Service Prototyping: Gap Analysis
      * Ma & Song's -> C&GIS: new SSCI (0.611)
      * Jinsung's -> JSM: new SSCI (0.658) or SIJ : SSCI(1.017) <- Big Data Analytics in Service Industries: A Process Mining Based Approach <- (1)통신서비스 - KT’s repair: 개통서비스 분석 및 예측, KT’s repair: 고장수리서비스 분석 및 예측, (2) 제조서비스 - Siemens’s customer service: 고객서비스 대응체계 개선, (3)금융서비스 - 개선, (4)기타- 웨딩?)
      * AK's GIS -> C&GIS: new SSCI (0.611)
      * 현구 : 10/29(화) 연구논문 1편 발표 및 주제 제안(w/ 진성)(SCI 논문 검색하여 읽고, 1~2편 정리하여 발표하고, 석사과정 중 연구할 주제 제안)
      * 애경 : DT 논문 마무리 (오늘까지 보완 계획 보고, 1.5달 안에 SCI 제출)

Found 9 matching pages out of 185 total pages


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