- Source term estimation in the unsteady flow with dynamic mode decomposition. In: Sustainable Cities and Society, v. 115 (November 2024). (2024):
- Transfer learning strategy for data-driven correction of wind measurement around buildings using cup anemometers. In: Building and Environment, v. 241 (August 2023). (2023):
- Study on influence of air cleaner on room dispersion field and its optimal placement using adjoint concentration. In: Japan Architectural Review, v. 6, n. 1 (21 November 2022). (2022):
- Towards real-time prediction of velocity field around a building using generative adversarial networks based on the surface pressure from sparse sensor networks. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 231 (Dezember 2022). (2022):
- Turbulence-induced ventilation of an isolated building: Ventilation route identification using spectral proper orthogonal decomposition. In: Building and Environment, v. 223 (September 2022). (2022):
- Wind tunnel experiments on pumping ventilation through a three-story reduce-scaled building with two openings affected by upwind and downwind buildings. In: Building and Environment, v. 219 (Juli 2022). (2022):
- Study on the future weather data considering the global and local climate change for building energy simulation. In: Sustainable Cities and Society, v. 14 (Februar 2015). (2015):
- Winter air infiltration induced by combined buoyancy and wind forces in large-space buildings. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 210 (März 2021). (2021):
- A study of urban thermal environment in Tokyo in summer of the 2030s under influence of global warming. In: Energy and Buildings, v. 114 (Februar 2016). (2016):
- Validation of lattice Boltzmann method-based large-eddy simulation applied to wind flow around single 1:1:2 building model. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 206 (November 2020). (2020):
- Wind tunnel experiment on high-buoyancy gas dispersion around isolated cubic building. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 202 (Juli 2020). (2020):
- Turbulent Schmidt number for source term estimation using Bayesian inference. In: Building and Environment, v. 125 (November 2017). (2017):
- A study on air pollutant dispersion with bimolecular reactions in urban street canyons using large-eddy simulations. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 104-106 (Mai 2012). (2012):