has been cited by the following article(s):
[1]
|
Spatially granular poverty index (SGPI) for urban poverty mapping in Jakarta metropolitan area (JMA): a remote sensing satellite imageries and geospatial big data approach
Earth Science Informatics,
2023
DOI:10.1007/s12145-023-01084-7
|
|
|
[2]
|
Progress of nighttime light applications within the google earth engine cloud platform
Geocarto International,
2023
DOI:10.1080/10106049.2022.2120550
|
|
|
[3]
|
Methods, data sources and applications of the Artificial Intelligence in the Energy Poverty context: A review
Energy and Buildings,
2022
DOI:10.1016/j.enbuild.2022.112233
|
|
|
[4]
|
Progress of nighttime light applications within the google earth engine cloud platform
Geocarto International,
2022
DOI:10.1080/10106049.2022.2120550
|
|
|
[5]
|
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
Patterns,
2022
DOI:10.1016/j.patter.2022.100600
|
|
|
[6]
|
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
Patterns,
2022
DOI:10.1016/j.patter.2022.100600
|
|
|
[7]
|
Methods, data sources and applications of the Artificial Intelligence in the Energy Poverty context: A review
Energy and Buildings,
2022
DOI:10.1016/j.enbuild.2022.112233
|
|
|
[8]
|
Using Convolutional Neural Networks on Satellite Images to Predict Poverty
2021 12th International Conference on Information and Communication Systems (ICICS),
2021
DOI:10.1109/ICICS52457.2021.9464598
|
|
|