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Search: "[ keyword: Convolutional Neural Network ]" (15)
Online Hard Example Mining for Training One-Stage Object Detectors
Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 5, pp. 195-204,
May.
2018
10.3745/KTSDE.2018.7.5.195
Keywords: One-Stage Object Detection, Deep Convolutional Neural Network, Online Hard Example Mining, Loss Function
10.3745/KTSDE.2018.7.5.195
Keywords: One-Stage Object Detection, Deep Convolutional Neural Network, Online Hard Example Mining, Loss Function
Noise-Robust Porcine Respiratory Diseases Classification Using Texture Analysis and CNN
Yongju Choi, Jonguk Lee, Daihee Park, Yongwha Chung KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 3, pp. 91-98,
Mar.
2018
10.3745/KTSDE.2018.7.3.91
Keywords: Porcine Respiratory Diseases, Noise Robustness, Sound Analysis, Dominant Neighborhood Structure, Convolutional Neural Network
10.3745/KTSDE.2018.7.3.91
Keywords: Porcine Respiratory Diseases, Noise Robustness, Sound Analysis, Dominant Neighborhood Structure, Convolutional Neural Network
On-Line Topic Segmentation Using Convolutional Neural Networks
Gyoung Ho Lee, Kong Joo Lee KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 11, pp. 585-592,
Nov.
2016
10.3745/KTSDE.2016.5.11.585
Keywords: Topic Segmentation, Convolutional Neural Network
10.3745/KTSDE.2016.5.11.585
Keywords: Topic Segmentation, Convolutional Neural Network
Real-Time License Plate Detection Based on Faster R-CNN
Dongsuk Lee, Sook Yoon, Jaehwan Lee, Dong Sun Park KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 11, pp. 511-520,
Nov.
2016
10.3745/KTSDE.2016.5.11.511
Keywords: License Plate, Convolutional Neural Network, Faster Region Based Convolutional Neural Network
10.3745/KTSDE.2016.5.11.511
Keywords: License Plate, Convolutional Neural Network, Faster Region Based Convolutional Neural Network
A Safety Score Prediction Model in Urban Environment Using Convolutional Neural Network
Hyeon-Woo Kang, Hang-Bong Kang KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 8, pp. 393-400,
Aug.
2016
10.3745/KTSDE.2016.5.8.393
Keywords: Urban Safety, Convolutional Neural Network, Crime Prediction, Visual Perception
10.3745/KTSDE.2016.5.8.393
Keywords: Urban Safety, Convolutional Neural Network, Crime Prediction, Visual Perception
Category Search
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)
- Vol. 8, No. 7 (Jul. 2019)
- Vol. 8, No. 6 (Jun. 2019)
- Vol. 8, No. 5 (May. 2019)
- Vol. 8, No. 4 (Apr. 2019)
- 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)
- Vol. 7, No. 7 (Jul. 2018)
- Vol. 7, No. 6 (Jun. 2018)
- Vol. 7, No. 5 (May. 2018)
- Vol. 7, No. 4 (Apr. 2018)
- Vol. 7, No. 3 (Mar. 2018)
- Vol. 7, No. 2 (Feb. 2018)
- 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)
- Vol. 6, No. 7 (Jul. 2017)
- Vol. 6, No. 6 (Jun. 2017)
- Vol. 6, No. 5 (May. 2017)
- Vol. 6, No. 4 (Apr. 2017)
- Vol. 6, No. 3 (Mar. 2017)
- Vol. 6, No. 2 (Feb. 2017)
- 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)
- Vol. 5, No. 8 (Aug. 2016)
- Vol. 5, No. 7 (Jul. 2016)
- Vol. 5, No. 6 (Jun. 2016)
- Vol. 5, No. 5 (May. 2016)
- Vol. 5, No. 4 (Apr. 2016)
- Vol. 5, No. 3 (Mar. 2016)
- Vol. 5, No. 2 (Feb. 2016)
- 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)
- Vol. 4, No. 8 (Aug. 2015)
- Vol. 4, No. 7 (Jul. 2015)
- Vol. 4, No. 6 (Jun. 2015)
- Vol. 4, No. 5 (May. 2015)
- Vol. 4, No. 4 (Apr. 2015)
- Vol. 4, No. 3 (Mar. 2015)
- 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)
- Vol. 3, No. 5 (May. 2014)
- 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)
- Vol. 2, No. 6 (Jun. 2013)
- Vol. 2, No. 5 (May. 2013)
- Vol. 2, No. 4 (Apr. 2013)
- Vol. 2, No. 3 (Mar. 2013)
- 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).