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Pang-jo Chun
Pang-jo Chun
Other names全　邦釘, BANGJO CHUN, BANJO CHUN
The University of Tokyo
Verified email at i-con.t.u-tokyo.ac.jp
Title
Cited by
Cited by
Year
Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine
P Chun, S Izumi, T Yamane
Computer‐Aided Civil and Infrastructure Engineering 36 (1), 61-72, 2021
1442021
Crack detection from a concrete surface image based on semantic segmentation using deep learning
T Yamane, P Chun
Journal of Advanced Concrete Technology 18 (9), 493-504, 2020
672020
Random forest-based evaluation technique for internal damage in reinforced concrete featuring multiple nondestructive testing results
P Chun, I Ujike, K Mishima, M Kusumoto, S Okazaki
Construction and Building Materials 253, 119238, 2020
662020
Applicability of machine learning to a crack model in concrete bridges
Y Okazaki, S Okazaki, S Asamoto, P Chun
Computer‐Aided Civil and Infrastructure Engineering 35 (8), 775-792, 2020
652020
Bridge damage severity quantification using multipoint acceleration measurement and artificial neural networks
P Chun, H Yamashita, S Furukawa
Shock and Vibration 2015, 1-11, 2015
522015
ディープラーニングおよび Random Forest によるコンクリートのひび割れ自動検出手法
全邦釘， 嶋本ゆり， 大窪和明， 三輪知寛， 大賀水田生
土木学会論文集 F3 (土木情報学) 73 (2), I_297-I_307, 2017
432017
Evaluation of tensile performance of steel members by analysis of corroded steel surface using deep learning
P Chun, T Yamane, S Izumi, T Kameda
Metals 9 (12), 1259, 2019
422019
Automatic detection of cracks in asphalt pavement using deep learning to overcome weaknesses in images and GIS visualization
P Chun, T Yamane, Y Tsuzuki
Applied Sciences 11 (3), 892, 2021
382021
Tensile strength prediction of corroded steel plates by using machine learning approach
CN Karina, P Chun, K Okubo
Steel Compos. Struct 24 (5), 635-641, 2017
372017
A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage
PJ Chun, T Yamane, Y Maemura
Computer‐Aided Civil and Infrastructure Engineering 37 (11), 1387-1401, 2022
352022
Random Forest によるコンクリート表面ひび割れの検出
全邦釘， 井後敦史
土木学会論文集 F3 (土木情報学) 71 (2), I_1-I_8, 2015
352015
Development of a machine learning-based damage identification method using multi-point simultaneous acceleration measurement results
P Chun, T Yamane, S Izumi, N Kuramoto
Sensors 20 (10), 2780, 2020
322020
車載カメラにより撮影された舗装画像からのディープラーニングによるひび割れ率評価
全邦釘， 井後敦史， 南免羅裕治， 黒木航汰， 大窪和明
土木学会論文集 E1 (舗装工学) 73 (3), I_97-I_105, 2017
292017
Artificial neural network for vertical displacement prediction of a bridge from strains (Part 1): Girder bridge under moving vehicles
HS Moon, S Ok, P Chun, YM Lim
Applied Sciences 9 (14), 2881, 2019
272019
Deep learningによるSemantic Segmentationを用いたコンクリート表面ひび割れの検出
邦釘山根　達郎，全　
構造工学論文集 65 (A), 130-138, 2019
242019
Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach
K Nagatani, M Abe, K Osuka, P Chun, T Okatani, M Nishio, S Chikushi, ...
Advanced Robotics 35 (11), 715-722, 2021
212021
Asphalt pavement crack detection using image processing and naive bayes based machine learning approach
P Chun, K HASHIMOTO, N KATAOKA, N KURAMOTO, M OHGA
Journal of Japan Society of Civil Engineers, Ser. E1 (Pavement Engineering …, 2015
212015
Utilization of unmanned aerial vehicle, artificial intelligence, and remote measurement technology for bridge inspections
P Chun, J Dang, S Hamasaki, R Yajima, T Kameda, H Wada, T Yamane, ...
Journal of Robotics and Mechatronics 32 (6), 1244-1258, 2020
202020
Development of a concrete floating and delamination detection system using infrared thermography
P Chun, S Hayashi
IEEE/ASME Transactions on Mechatronics 26 (6), 2835-2844, 2021
182021
UAV 撮影と深層学習を用いた橋梁損傷の自動検知に関する検証
田畑佑， 党紀， 春田大二郎， 松永昭吾， 全邦釘
土木学会論文集 F4 (建設マネジメント) 74 (2), I_62-I_74, 2018
182018
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