Seguir
Menglin Dai
Menglin Dai
Peking University, The University of Sheffield
Dirección de correo verificada de pku.edu.cn
Título
Citado por
Citado por
Año
Residential building facade segmentation in the urban environment
M Dai, WOC Ward, G Meyers, DD Tingley, M Mayfield
Building and Environment 199, 107921, 2021
442021
A scalable data collection, characterization, and accounting framework for urban material stocks
H Arbabi, M Lanau, X Li, G Meyers, M Dai, M Mayfield, D Densley Tingley
Journal of Industrial Ecology 26 (1), 58-71, 2022
272022
Estimating energy consumption of residential buildings at scale with drive-by image capture
WOC Ward, X Li, Y Sun, M Dai, H Arbabi, DD Tingley, M Mayfield
Building and Environment 234, 110188, 2023
122023
Scalable Residential Building Geometry Characterisation Using Vehicle-Mounted Camera System
M Dai, WOC Ward, H Arbabi, D Densley Tingley, M Mayfield
Energies 15 (16), 6090, 2022
42022
Initial investigations into using an ensemble of deep neural networks for building façade image semantic segmentation
M Dai, G Meyers, DD Tingley, M Mayfield
Remote Sensing Technologies and Applications in Urban Environments IV 11157 …, 2019
32019
Measuring the Cityscape: A Pipeline from Street-Level Capture to Urban Quantification
W Ward, M Dai, H Arbabi, Y Sun, D Tingley, M Mayfield
IOP Conference Series: Earth and Environmental Science 1078 (1), 012036, 2022
12022
Component-Level Residential Building Material Stock Characterization Using Computer Vision Techniques
M Dai, J Jurczyk, H Arbabi, R Mao, W Ward, M Mayfield, G Liu, DD Tingley
Environmental Science & Technology, 2024
2024
Characterising English residential housing using street view capture and deep learning techniques
M Dai
University of Sheffield, 2023
2023
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–8