Results 31 to 40 of about 455 (106)
SATELLITE AND ARTIFICIAL INTELLIGENCE IN MAPPING MULTIDIMENSIONAL POVERTY IN AFRICA
Context and background Multidimensional Poverty (MP) considers poverty in multiple dimensions of deprivations such as health, education, energy, the standard of living and access to basic services.
Ifechukwu Ugochukwu Nzelibe
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Analisa Clustering K-Means Pada Data Informasi Kemiskinan Di Jawa Barat Tahun 2018
— Poverty is a condition of life that is understaffed by a person or household so that it is unable to meet the minimum or proper needs for his or her life. The poverty Data in each region will differ.
Nugroho Irawan Febianto +1 more
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Spatial distribution of poverty in Pakistan: an asset-based approach
The main objective of this study is to construct a valid and reliable asset index at household level by using NSER-BISP data in order to compute asset poverty for provinces, districts, and tehsils of the Pakistan.
Kifayat Ullah, Muhammad Zubair Chishti
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The research project “Grassroots GIS” focuses on the development of low-cost mapping and publishing methods for slums and slum-upgrading projects in Manila.
Jörg Rekittke, Philip Paar
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Background The South African Ward Based Primary Health Care Outreach Team (WBPHCOT) policy framework states that the distribution of community health workers (CHWs) should be proportional to levels of poverty and disease within the population.
G. E. Khumalo +3 more
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Satellite-Based Mapping of Urban Poverty With Transfer-Learned Slum Morphologies
In the course of global urbanization, poverty in cities has been observed to increase, especially in the Global South. Poverty is one of the major challenges for our society in the upcoming decades, making it one of the most important issues in the ...
Thomas Stark +3 more
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A study of poverty alleviation strategies for sustainable development: A scientometric analysis
Purpose: The present study aims to investigate the current and future trends in poverty alleviation strategies for sustainable development, show the gaps and propose the way forward for future research.
Onesme Nzasabayezu +2 more
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Combining satellite imagery and a GAN-based data augmentation method for poverty estimation
Explicit poverty data are crucial for formulating precise poverty alleviation policies. Existing methods for estimating poverty with remote sensing data are restricted by limited training samples. This study presents a poverty estimation model using high-
Qinglian Wang +6 more
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Eradicating poverty in all its forms is one of the targets of the Sustainable Development Goals (SDGs), as it has been majorly defined by the international poverty line.
Afolabi Olabamiji, Olayinka Ajala
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This study addresses energy poverty, a situation where households are unable to afford the minimum energy services required to meet their basic needs, a problem with profound implications for the well-being of vulnerable populations. To identify the most
Adrián Sujar-Cost +3 more
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