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ORCIDSungil Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]YongKyung Oh, Chiehyeon Lim, Junghye Lee
, Sewon Kim, Sungil Kim:
Multichannel convolution neural network for gas mixture classification. Ann. Oper. Res. 339(1-2): 261-295 (2024)- [j14]Jong Hwan Mun, Jitae Yoo, Heesun Kim, Nayi Ryu, Sungil Kim:
Domain-knowledge-informed functional outlier detection for line quality control systems. Comput. Ind. Eng. 189: 109936 (2024) - [j13]YongKyung Oh, Sungil Kim:
Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach. Inf. Fusion 110: 102464 (2024) - [j12]Junsub Jung, Sungil Kim, Heeyoung Kim:
Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model. Stat. Anal. Data Min. 17(1) (2024) - [j11]YongKyung Oh, Sungil Kim:
Grid-Based Bayesian Bootstrap Approach for Real-Time Detection of Abnormal Vessel Behaviors From AIS Data in Maritime Logistics. IEEE Trans Autom. Sci. Eng. 21(4): 6680-6692 (2024) - [c4]YongKyung Oh, Dongyoung Lim, Sungil Kim:
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data. ICLR 2024 - [i3]YongKyung Oh, Dongyoung Lim, Sungil Kim:
Invertible Solution of Neural Differential Equations for Analysis of Irregularly-Sampled Time Series. CoRR abs/2401.04979 (2024) - [i2]YongKyung Oh, Dongyoung Lim, Sungil Kim:
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data. CoRR abs/2402.14989 (2024) - 2023
- [j10]Sungil Kim, Yongjun Hong, Jung-Tek Lim, Kwang Hyun Kim:
Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning. Comput. Geosci. 181: 105452 (2023) - [j9]YongKyung Oh, Juhui Lee, Sungil Kim:
Sensor drift compensation for gas mixture classification in batch experiments. Qual. Reliab. Eng. Int. 39(6): 2422-2437 (2023) - 2021
- [j8]Sungil Kim:
Maximum feasibility estimation. Inf. Sci. 575: 793-801 (2021) - [j7]Sungil Kim:
New Crypto-Secured Lending System with a Two-Way Collateral Function. Ledger 6 (2021) - [c3]YongKyung Oh, Sungil Kim:
Multi-channel Convolution Neural Network for Gas Mixture Classification. ICDM (Workshops) 2021: 1094-1095 - [i1]YongKyung Oh, Jiin Kwak, JuYoung Lee, Sungil Kim:
Time Delay Estimation of Traffic Congestion Propagation based on Transfer Entropy. CoRR abs/2108.06717 (2021)
2010 – 2019
- 2019
- [j6]Sungil Kim:
Revealing household characteristics using connected home products. Inf. Sci. 486: 52-61 (2019) - [j5]Sungil Kim, Jaesoon Park, Sangkyun So, Sanghoon Ahn, Jiyeon Choi, Chiwan Koo, Yeun-Ho Joung:
Characteristics of an Implantable Blood Pressure Sensor Packaged by Ultrafast Laser Microwelding. Sensors 19(8): 1801 (2019) - 2017
- [j4]Heeyoung Kim, Justin T. Vastola, Sungil Kim, Jye-Chyi Lu, Martha A. Grover:
Incorporation of engineering knowledge into the modeling process: a local approach. Int. J. Prod. Res. 55(20): 5865-5880 (2017) - [j3]Sungil Kim, Heeyoung Kim, Yongro Park:
Early detection of vessel delays using combined historical and real-time information. J. Oper. Res. Soc. 68(2): 182-191 (2017) - 2016
- [j2]Sungil Kim, Heeyoung Kim, Younghwan Namkoong:
Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information Services. IEEE Intell. Syst. 31(5): 50-56 (2016)
2000 – 2009
- 2008
- [j1]Choongul Park, Kitae Jeong, Sungil Kim, Youngseok Lee:
NAT Issues in the Remote Management of Home Network Devices. IEEE Netw. 22(5): 48-55 (2008) - [c2]Sungil Kim, Yoo Chul Chung, Yangwoo Ko, Dongman Lee:
A Reactive Local Positioning System for Ad Hoc Networks. SUTC 2008: 44-51 - 2006
- [c1]Jongman Cho, Sungil Kim, Jaehong Lim:
A fast eye-movement tracking using cross-division algorithm. EMBC (Supplement) 2006: 6482-6484
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