Deep Sensing Approach to Single-Sensor Vehicle Weighing System on Bridges T Kawakatsu, K Aihara, A Takasu, J Adachi IEEE Sensors Journal 19 (1), 243 - 256, 2019 | 30 | 2019 |
Traffic surveillance system for bridge vibration analysis T Kawakatsu, A Kakitani, K Aihara, A Takasu, J Adachi 2017 IEEE International Conference on Information Reuse and Integration (IRI …, 2017 | 17 | 2017 |
Deep sensing approach to single-sensor bridge weighing in motion T Kawakatsu, A Kinoshita, K Aihara, A Takasu, J Adachi 9th European Workshop on Structural Health Monitoring (EWSHM 2018), 2018 | 10 | 2018 |
Fully-Neural Approach to Heavy Vehicle Detection on Bridges Using a Single Strain Sensor T Kawakatsu, K Aihara, A Takasu, J Adachi 2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020 | 9 | 2020 |
Fully-Neural Approach to Vehicle Weighing and Strain Prediction on Bridges Using Wireless Accelerometers T Kawakatsu, K Aihara, A Takasu, J Adachi, H Wang, T Nagayama ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
Adversarial Media-Fusion Approach to Strain Prediction for Bridges T Kawakatsu, K Aihara, A Takasu, J Adachi 8th International Conference on Pattern Recognition Applications and Methods, 2019 | 5 | 2019 |
Adversarial Spiral Learning Approach to Strain Analysis for Bridge Damage Detection T Kawakatsu, A Kinoshita, K Aihara, A Takasu, J Adachi International Conference on Big Data Analytics and Knowledge Discovery, 49-58, 2018 | 4 | 2018 |
Data-Driven Bridge Weigh-In-Motion T Kawakatsu, K Aihara, A Takasu, T Nagayama, J Adachi IEEE Sensors Journal 23 (15), 17064 - 17077, 2023 | 3 | 2023 |
Deep learning approach to modeling bridge dynamics using cameras and sensors T Kawakatsu, K Aihara, A Takasu, J Adachi 10th International Conference on Bridge Maintenance, Safety and Management …, 2020 | 3 | 2020 |
A Data-Driven Approach for Bridge Weigh-in-Motion from Impact Acceleration Responses at Bridge Joints H Wang, T Nagayama, T Kawakatsu, A Takasu Structural Control and Health Monitoring 2023, 2023 | 1 | 2023 |
Divide-and-Conquer Parallelism for Learning Mixture Models T Kawakatsu, A Kinoshita, A Takasu, J Adachi Transactions on Large-Scale Data-and Knowledge-Centered Systems XXVIII …, 2016 | 1 | 2016 |
Highly efficient parallel framework: a divide-and-conquer approach T Kawakatsu, A Kinoshita, A Takasu, J Adachi Database and Expert Systems Applications: 26th International Conference …, 2015 | 1 | 2015 |
Multi-Cell Decoder and Mutual Learning for Table Structure and Character Recognition T Kawakatsu International Conference on Document Analysis and Recognition (ICDAR), 2024 | | 2024 |
Estimation of Highway Bridges' Deflection from Acceleration Measurement by Using a Machine Learning Approach AE Mustafa, T Nagayama, T Kawakatsu, A Takasu, O Sanada, ... 77th Annual Conference of the Japan Society of Civil Engineers (JSCE), 2022 | | 2022 |
Deflection Estimation of Highway Bridges Based on Acceleration Measurement Using a Machine Learning Approach AE Mustafa, T Nagayama, T Kawakatsu, A Takasu, O Sanada, ... 8th World Conference on Structural Control and Monitoring (WCSCM), 2022 | | 2022 |
Vehicle Monitoring on Bridges Using Deep Learning A Takasu, T Kawakatsu, K Aihara, J Adachi 計測と制御 60 (11), 775-779, 2021 | | 2021 |
A data management platform for efficient monitoring of infrastructures K Aihara, A Takasu, T Kawakatsu, A Kinoshita, J Adachi 10th International Conference on Bridge Maintenance, Safety and Management …, 2020 | | 2020 |
Deep Sensing Approach to Media-Fusion Analysis for Modeling Bridge Dynamics T Kawakatsu Department of Information and Communication Engineering, The University of Tokyo, 2020 | | 2020 |
Deep Sensing Approach to Vehicle Detection from Bridge Vibration T Kawakatsu, A Kinoshita, K Aihara, A Takasu, J Adachi 12th International Workshop on Information Search, Integration, and …, 2018 | | 2018 |
Efficient Divide-and-Conquer Parallelism in Machine Learning for Mixture Models T Kawakatsu Department of Information and Communication Engineering, The University of Tokyo, 2016 | | 2016 |