Occupancy data at different spatial resolutions: Building energy ...
Mar 15, 2021 · Occupancy is a significant area of interest within the field of building performance simulation. Through Bayesian calibration, the present study investigates the impact of the availability …
Optimized graph neural networks for spatial recognition to support ...
May 1, 2025 · The integration of Graph Neural Networks (GNNs) with Building Information Modeling (BIM) unveils transformative potential for the semantic enrichment of BIM data, offering significant …
Estimating spatial and temporal patterns of urban building ...
Feb 1, 2022 · The dataset of hourly building AH at individual building level can be aggregated into very high spatial resolution, for numerical weather prediction models (e.g., Weather Research and …
Participatory systems approaches for urban and peri-urban …
Feb 1, 2018 · From this background, we introduce the concept of spatial group model building (SGMB), which adapts standard group model building concepts to account for both the spatial context of urban …
Vectorized building extraction from high-resolution remote sensing ...
Jul 1, 2024 · A spatial cognitive graph convolution model named SCShaping is proposed for vectorized building extraction from high-resolution remote sensing images. The topological encoding is enriched …
(PDF) A model for spatial planning of site and building using BIM ...
Nov 21, 2016 · A spatial planning model for buildings associated with a territorial planning system was developed as part of this study and could be used as a basis for further building information modelling.
A spatial temporal graph neural network model for predicting …
Oct 1, 2022 · In this paper, a scene-agnostic model (FlashNet) is proposed to predict flashover based on limited heat detector temperature information up to 150 °C. FlashNet utilizes spatial temporal graph …
Integrating physical model-based features and spatial contextual ...
Jan 1, 2024 · In this study, we proposed a two-step method to estimate building height in spatially heterogeneous urban areas by integrating the merits of machine learning approaches and physical …
Characterizing temporal and spatial characteristics of urban building ...
Jul 1, 2024 · Taking Macao as a case, this study established a 4D GIS-MFA-LCA model and compiled a local material composition database to address these gaps, for a detailed characterization of the …
(PDF) Problem-based Learning Model Assisted by ... - ResearchGate
Dec 25, 2023 · The PBL model was assisted by interactive animated videos in solving questions on spatial building materials.