Using satellite imagery to understand and promote sustainable development
BACKGROUND Accurate and comprehensive measurements of a range of sustainable
development outcomes are fundamental inputs into both research and policy. For instance …
development outcomes are fundamental inputs into both research and policy. For instance …
[HTML][HTML] A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
Recent advances in artificial intelligence and deep machine learning have created a step
change in how to measure human development indicators, in particular asset-based …
change in how to measure human development indicators, in particular asset-based …
Deep learning-based classification of liver cancer histopathology images using only global labels
Liver cancer is a leading cause of cancer deaths worldwide due to its high morbidity and
mortality. Histopathological image analysis (HIA) is a crucial step in the early diagnosis of …
mortality. Histopathological image analysis (HIA) is a crucial step in the early diagnosis of …
GeoGAN: A conditional GAN with reconstruction and style loss to generate standard layer of maps from satellite images
Automatically generating maps from satellite images is an important task. There is a body of
literature which tries to address this challenge. We created a more expansive survey of the …
literature which tries to address this challenge. We created a more expansive survey of the …
Gotham city. Predicting 'corrupted'municipalities with machine learning
G de Blasio, A D'Ignazio, M Letta - Technological Forecasting and Social …, 2022 - Elsevier
The economic costs of white-collar crimes, such as corruption, bribery, embezzlement,
abuse of authority, and fraud, are substantial. How to eradicate them is a mounting task in …
abuse of authority, and fraud, are substantial. How to eradicate them is a mounting task in …
[HTML][HTML] Climate decision-making
B Orlove, R Shwom, E Markowitz… - Annual Review of …, 2020 - annualreviews.org
Climate change decision-making has emerged in recent decades as an area of research
and practice, expanding on an earlier focus on climate policy. Defined as the study of …
and practice, expanding on an earlier focus on climate policy. Defined as the study of …
[HTML][HTML] Is seeing still believing? Leveraging deepfake technology for livestock farming
S Neethirajan - Frontiers in veterinary science, 2021 - frontiersin.org
Deepfake technologies are known for the creation of forged celebrity pornography, face and
voice swaps, and other fake media content. Despite the negative connotations the …
voice swaps, and other fake media content. Despite the negative connotations the …
GAN-based satellite imaging: A survey on techniques and applications
H Mansourifar, A Moskovitz, B Klingensmith… - IEEE …, 2022 - ieeexplore.ieee.org
Satellite image analysis is widely used in many real-time applications, from agriculture to the
military. Due to the wide range of Generative Adversarial Network (GAN) applications in …
military. Due to the wide range of Generative Adversarial Network (GAN) applications in …
[HTML][HTML] What dictates income in New York City? SHAP analysis of income estimation based on Socio-economic and Spatial Information Gaussian Processes (SSIG)
Income inequality presents a key challenge to urban sustainability across the developed
economies. Traditionally, accurate high granularity income data are generally obtained from …
economies. Traditionally, accurate high granularity income data are generally obtained from …
[HTML][HTML] Predicting household resilience with machine learning: preliminary cross-country tests
Using a unique cross-country sample from 10 impact evaluations of development projects,
we test the out-of-sample performance of machine learning algorithms in predicting non …
we test the out-of-sample performance of machine learning algorithms in predicting non …