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Research Papers
Detection of Aircraft Defects in Walk Around Inspection(WAI) Using YOLO-based Deep Learning and Image Processing
Jagyeom Kim, Doohyun Choi
J. KIMS Technol.
2025;28(6):564-574.
Published online December 5, 2025
DOI:
https://doi.org/10.9766/KIMST.2025.28.6.564
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Target Detection and Classification via Multi-task Learning of Prediction and Classification
Yewon Kim, Soonhyeon Choi, Wonjun Choi, Sunghwan Sohn, Jung-Woo Choi
J. KIMS Technol.
2025;28(6):553-563.
Published online December 5, 2025
DOI:
https://doi.org/10.9766/KIMST.2025.28.6.553
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Smart Air-to-Ground Guidance System using Deep Learning for Wildfire Response
Gyeongphil Park, Dongbin Kim, Taesik Nam, Jonggwan Yook
J. KIMS Technol.
2025;28(3):254-263.
Published online June 5, 2025
DOI:
https://doi.org/10.9766/KIMST.2025.28.3.254
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An Image-based Ship Attitude Estimation Method for Helicopter Landing
Geonha Park, Sunghoon Jung
J. KIMS Technol.
2024;27(6):677-683.
Published online December 5, 2024
DOI:
https://doi.org/10.9766/KIMST.2024.27.6.677
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Improving Confidence in Synthetic Infrared Image Refinement using Grad-CAM-based Explainable AI Techniques
Taeho Kim, Kangsan Kim, Hyochoong Bang
J. KIMS Technol.
2024;27(6):665-676.
Published online December 5, 2024
DOI:
https://doi.org/10.9766/KIMST.2024.27.6.665
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An Empirical Study on Improving the Accuracy of Demand Forecasting Based on Multi-Machine Learning
Myunghwa Kim, Yeonjun Lee, Sangwoo Park, Kunwoo Kim, Taehee Kim
J. KIMS Technol.
2024;27(3):406-415.
Published online June 5, 2024
DOI:
https://doi.org/10.9766/KIMST.2024.27.3.406
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A Study on the Explainability of Inception Network-Derived Image Classification AI Using National Defense Data
Kangun Cho
J. KIMS Technol.
2024;27(2):256-264.
Published online April 5, 2024
DOI:
https://doi.org/10.9766/KIMST.2024.27.2.256
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Research for Drone Target Classification Method Using Deep Learning Techniques
Soonhyeon Choi, Incheol Cho, Junseok Hyun, Wonjun Choi, Sunghwan Sohn, Jung-Woo Choi
J. KIMS Technol.
2024;27(2):189-196.
Published online April 5, 2024
DOI:
https://doi.org/10.9766/KIMST.2024.27.2.189
Cited By 1
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Performance Analysis of Deep Learning-Based Detection/Classification for SAR Ground Targets with the Synthetic Dataset
Ji-Hoon Park
J. KIMS Technol.
2024;27(2):147-155.
Published online April 5, 2024
DOI:
https://doi.org/10.9766/KIMST.2024.27.2.147
Cited By 1
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A Study on Predicting Installation Scale of Photovoltaic Panels and Hydrogen Fuel Storage Facilities to Achieve Net Zero Carbon Emissions Exploiting Idle Sites of Military Bases
Donghak Moon, Jiyong Heo
J. KIMS Technol.
2024;27(1):8-14.
Published online February 5, 2024
DOI:
https://doi.org/10.9766/KIMST.2024.27.1.008
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Prognosis of Blade Icing of Rotorcraft Drones through Vibration Analysis
Seonwoo Lee, Jaeseok Do, Jangwook Hur
J. KIMS Technol.
2024;27(1):1-7.
Published online February 5, 2024
DOI:
https://doi.org/10.9766/KIMST.2024.27.1.001
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Synthetic Image Generation for Military Vehicle Detection
Se-Yoon Oh, Hunmin Yang
J. KIMS Technol.
2023;26(5):392-399.
Published online December 5, 2023
DOI:
https://doi.org/10.9766/KIMST.2023.26.5.392
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Camouflaged Adversarial Patch Attack on Object Detector
Jeonghun Kim, Hunmin Yang, Se-Yoon Oh
J. KIMS Technol.
2023;26(1):44-53.
Published online February 5, 2023
DOI:
https://doi.org/10.9766/KIMST.2023.26.1.044
Cited By 1
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A Study of Real-time Semantic Segmentation Performance Improvement in Unstructured Outdoor Environment
Daeyoung Kim, Seunguk Ahn, Seung-Woo Seo
J. KIMS Technol.
2022;25(6):606-616.
Published online December 5, 2022
DOI:
https://doi.org/10.9766/KIMST.2022.25.6.606
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A Study on the Classification of Military Airplanes in Neighboring Countries Using Deep Learning and Various Data Augmentation Techniques
Chanwoo Lee, Hajun Hwang, Hyeok Kwon, Seungryeong Baik, Wooju Kim
J. KIMS Technol.
2022;25(6):572-579.
Published online December 5, 2022
DOI:
https://doi.org/10.9766/KIMST.2022.25.6.572
Cited By 1
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ABOUT
Aims and scope
About the journal
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Contact us
ARTICLE CATEGORY
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BROWSE ARTICLES
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