Using artificial intelligence to implement the UN sustainable development goals at higher education institutions
Artificial intelligence (AI) can significantly contribute to the implementation of the United
Nations Sustainable Development Goals (SDGs) by offering innovative solutions and …
Nations Sustainable Development Goals (SDGs) by offering innovative solutions and …
Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data
Current methods to determine the energy efficiency of buildings generally require on-site
visits of certified energy auditors which makes the process slow, costly, and geographically …
visits of certified energy auditors which makes the process slow, costly, and geographically …
Bridging the digital divide: Performance variation across socio-economic factors in vision-language models
Despite the impressive performance of current AI models reported across various tasks,
performance reports often do not include evaluations of how these models perform on the …
performance reports often do not include evaluations of how these models perform on the …
An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small-and medium-sized cities: A people-based approach
We conduct a methodological investigation of the spatial coverage and temporal variability
of Google Street View (GSV) images adopting a people-based approach. Specifically, we …
of Google Street View (GSV) images adopting a people-based approach. Specifically, we …
Mitigation strategies to improve reproducibility of poverty estimations from remote sensing images using deep learning
J Machicao, A Ben Abbes, L Meneguzzi… - Earth and Space …, 2022 - Wiley Online Library
The challenges of Reproducibility and Replicability (R & R) in computer science
experiments have become a focus of attention in the last decade, as efforts to adhere to …
experiments have become a focus of attention in the last decade, as efforts to adhere to …
[HTML][HTML] DeepWealth: A generalizable open-source deep learning framework using satellite images for well-being estimation
Measuring socioeconomic indices at the scale of regions or countries is required in various
contexts, in particular to inform public policies. The use of Deep Learning (DL) and Earth …
contexts, in particular to inform public policies. The use of Deep Learning (DL) and Earth …
Assessing the Feasibility and Ethics of Economic Status Prediction using Deep Learning on Household Images
Precise and comprehensive measurements of socioeconomic status are crucial for both
academic investigations and policy making. However, in developing countries, such …
academic investigations and policy making. However, in developing countries, such …
Exploring Urban Street Green Perception from the Perspective of Combining GVI and NDVI: A Case Study of Zhongshan City, Guangdong Province
L Su, W Chen, Y Zhou, L Fan, J Li - bioRxiv, 2023 - biorxiv.org
Urban street greening has a positive impact on the health of citizens and the urban
environment. This study takes the representative streets in the main urban area of …
environment. This study takes the representative streets in the main urban area of …
[PDF][PDF] Predicting Socio-economic Indicator Variations with Satellite Image Time Series and Transformer
UA IRD, UR UG - 2024 - lirmm.fr
Monitoring local socio-economic variations is essential for tracking progress toward
sustainable development goals. However, measuring these variations can be challenging …
sustainable development goals. However, measuring these variations can be challenging …
The detection of socio-economic impacts of protected area creation
A Specht, MJM Justo, P Corrêa, R Devillers… - Authorea …, 2023 - authorea.com
This paper discusses a project aimed at detecting whether protected areas (PAs) influence
the socioeconomic well-being of adjacent communities. The Belmont Forum funded …
the socioeconomic well-being of adjacent communities. The Belmont Forum funded …