Shuku, T., Phoon, K.K., Yokota, Y. and Date, K. (2025). l1 trend clustering: Trend estimation, clustering, and change detection for spatial-temporal ground displacement data from satellite remote sensing, Geodata and AI, 3, 100020, https://doi.org/10.1016/j.geoai.2025.100020. Click
Phoon, K.K. and Shuku, T. (2024). Future of Machine Learning in Geotechnics (FOMLIG), 5–6 Dec 2023, Okayama, Japan, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 18(1), 288-303, DOI:10.1080/17499518.2024.2316882. Click
Leung, Y.F., Phoon, K.K., Xiao, T., Shuku, T. and Ching, J. (2024). Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 18:1, 304-313, DOI: 10.1080/17499518.2024.2316879. Click
Phoon, K.K., Shuku, T. and Ching, J. (2023). Uncertainty, Modeling, and Decision Making in Geotechnics, CRC Press. Click
Shuku, T. and Phoon, K.K. (2023). Data-driven subsurface modelling using a Markov random field model, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, https://doi.org/10.1080/17499518.2023.2181973. Click
Shuku, T. and Phoon, K.K (2023). Comparison of data-driven site characterization methods through benchmarking: Methodological and application aspects, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9(2). Click
Shuku, T., Phoon, K.K., Ishii, M., Kumagai, T., Yokota, Y. and Date, K. (2023). Probabilistic generic transformation model between two rock mass properties: specific fracture energy and P-wave velocity, Canadian Geotechnical Journal, 60(8). Click
Phoon, K.K., Cao, Z. J., Ji, J., Leung Y. F., Najjar, S., Shuku, T., Tang, C., Yin, Z.Y., Yoshida, I. and Ching, J. (2022). Geotechnical uncertainty, modeling, and decision making, Soils and Foundations, 62(5), 101189. Click
Shuku, T. and Yamamoto, S. (2022). A study on optimal design of geotechnical structures using quantum annealing, Journal of JSCE, 78(2), 116-127. (in Japanese with English abstract) Click
Shuku, T., Ropponen, J., Juntunen, J. and Suito, H. (2022). Data‑driven model of the local wind feld over two small lakes in Jyväskylä, Finland, Meteorology and Atmospheric Physics, 134:18, https://doi.org/10.1007/s00703-021-00857-3. Click
Phoon, K.K., Shuku, T., Ching, J. and Yoshida, I. (2022). Benchmark examples for data-driven site characterization, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards , https://doi.org/10.1080/17499518.2022.2025541. Click
T. Shuku and J. Ching: Case Histories on 2D/3D Underground Stratification Using Sparse Machine Learning, Vol. 6, Issue 4, p.35-47. doi: 10.4417/IJGCH-06-04-03. Click
I. Yoshida and T. Shuku: Soil Stratification and Spatial Variability Estimated Using Sparse Modeling and Gaussian Random Field Theory, ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng., https://doi.org/10.1061/AJRUA6.0001143. Click
K.K. Phoon, J. Ching and T. Shuku: Challenges in data-driven site characterization, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, DOI: 10.1080/17499518.2021.1896005. Click
T. Shuku and K.K. Phoon: Three-dimensional subsurface modeling using Geotechnical Lasso, Computers and Geotechnics, 133 (2021) 1034068. Click
T. Shuku, K.K. Phoon, I. Yoshida: Trend estimation and layer boundary detection in depth-dependent soil data using sparse Bayesian lasso, Computers and Geotechnics, 128 (2020) 103845. Click
Y. Ikumasa and T. Shuku: Bayesian Updating of Model Parameters by Iterative Particle Filter with Importance Sampling, ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng., 6(2): 04020007, 2020. Click
J. Juntunen, J Ropponen, T. Shuku, K. Krogerus, T. Huttula: The effect of local wind field on water circulation and dispersion of imaginary tracers in two small connected lakes, Journal of Hydrology, 679, 2019. Click
D. Ousaka, N. Sakano, M. Morita, T. Shuku, K. Sanou, S, Kasahara, S. Oozawa: A new approach to prevent critical cardiac accidents in athletes by real-time electrocardiographic tele-monitoring system: Initial trial in full marathon, J. Cardiol. Cases, 20(1), 35-38, 2019. Click
T. Shibata, T. Shuku, A. Murakami, S. Nishimura, K. Fujisawa, N. Haegawa, S. Nonami: Prediction of long-term settlement and evaluation of pore water pressure using particle filter, Soils and Foundations, 59(1), 67-83, 2019. Click
H. Cheng, T. Shuku, K. Thoeni, P. Tempone, S. Luding and V. Magnanimo: An iterative Bayesian filtering framework for fast and automated calibration of DEM models, Computer Methods in Applied Mechanics and Engineering, 350, 268-294, 2019. Click
H. Cheng, T. Shuku, K. Thoeni and H. Yamamoto: Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter, Granular Matter, 20: 11, 2018. Click
T. Shuku, N. Sakano, M. Morita and S. Kasahara: Change detection in vital signs associated with impending death for homecare patients using a pressure-sensing mat, European Journal for Biomedical Informatics, 14(1), pp.42-27, 2018. Click
