Ji Dang

发表

Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections

Keiji Nagatani, Ryosuke Yajima, Shunsuke Hamasaki, 2020, J. Robotics Mechatronics.

SEISMIC PERFORMANCE ESTIMATION FOR BRIDGES WITH AGING DETERIORATED RUBBER BEARINGS (RING SHOE) BY BAYESIAN PROBABILITY INFERENCE AND INCREMENTAL DYNAMIC ANALYSIS

Yukio Adachi, Ji Dang, Akira Igarashi, 2016 .

Bridge Damage Classification and Detection Using Fully Convolutional Neural Network Based on Images from UAVs

Ji Dang, Jiyuan Shi, Rongzhi Zuo, 2020 .

STRUCTURE CONTEXT BASED PIXEL-LEVEL DAMAGE DETECTION FOR RUBBER BEARING

Ji Dang, Kazuhiro Shimizu, Rongzhi Zuo, 2020 .

Template for paper submission to the Eleventh U.S. National Conference on Earthquake Engineering

Ji Dang, A. Shrestha, X. Wang, 2018 .

Pseudo Damage Training for Seismic Fracture Detection Machine

Luyao Wang, Ji Dang, Xin Wang, 2020 .

Smartphone-Based Bridge Seismic Monitoring System and Long-Term Field Application Tests

Xin Wang, Ji Dang, Ashish Shrestha, 2020 .

Development of Tactile Imaging for Underwater Structural Damage Detection

Xi Chen, Ji Dang, Gang Wu, 2019, Sensors.

Deep Learning-Based Real-Time Auto Classification of Smartphone Measured Bridge Vibration Data

Ji Dang, Ashish Shrestha, A. Shrestha, 2020, Sensors.

Image processing–based real‐time displacement monitoring methods using smart devices

Keisuke Nakajima, Xin Wang, Ji Dang, 2019, Structural Control and Health Monitoring.

Damage Segmentation of Rubber Bearing Using Context Fully Convolutional Network

Yasuhiro Suzuki, Ji Dang, Jiyuan Shi, 2020 .