Digital Library
Search: "[ keyword: YOLO ]" (3)
YOLO, EAST : Comparison of Scene Text Detection Performance, Using a Neural Network Model
Park Chan Yong, Lim Young Min, Jeong Seung Dae, Cho Young Heuk, Lee Byeong Chul, Lee Gyu Hyun, Kim Jin Wook KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 3, pp. 115-124,
Mar.
2022
https://doi.org/10.3745/KTSDE.2022.11.3.115
Keywords: Scene Text Detection, YOLO, EAST, Neural Network
https://doi.org/10.3745/KTSDE.2022.11.3.115
Keywords: Scene Text Detection, YOLO, EAST, Neural Network
A Study of Tram-Pedestrian Collision Prediction Method Using YOLOv5 and Motion Vector
Young-Min Kim, Hyeon-Uk An, Hee-gyun Jeon, Jin-Pyeong Kim, Gyu-Jin Jang, Hyeon-Chyeol Hwang KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 12, pp. 561-568,
Dec.
2021
https://doi.org/10.3745/KTSDE.2021.10.12.561
Keywords: Tram, Dense Optical Flow, Estimation of Collision point, TTC(Time-To-Collision), YOLOv5
https://doi.org/10.3745/KTSDE.2021.10.12.561
Keywords: Tram, Dense Optical Flow, Estimation of Collision point, TTC(Time-To-Collision), YOLOv5
Image Processing and Deep Learning Techniquesfor Fast Pig’s Posture Determining and Head Removal
Hanse Ahn, Wonseok Choi, Sunhwa Park, Yongwha Chung, Daihee Park KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 11, pp. 457-464,
Nov.
2019
https://doi.org/10.3745/KTSDE.2019.8.11.457
Keywords: Real-Time Pig Monitoring, Posture Determining, Head Removal, image processing, Deep Learning, YOLO
https://doi.org/10.3745/KTSDE.2019.8.11.457
Keywords: Real-Time Pig Monitoring, Posture Determining, Head Removal, image processing, Deep Learning, YOLO
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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)
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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. 4, 2015
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Vol. 3, 2014
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Vol. 2, 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).