Digital twins, succinctly described as the digital representation of a physical object, is a
concept that has emerged relatively recently with increasing application in the …

Malnutrition among the population of the world is a frequent yet underdiagnosed problem in
both children and adults. Development of malnutrition screening and diagnostic tools for …

According to the World Bank, a key factor to poverty reduction and improving prosperity is
financial inclusion. Financial service providers (FSPs) offering financially-inclusive solutions …

Unabated pressures on food systems affect food security on a global scale. A human-centric
artificial intelligence-based probabilistic approach is used in this paper to perform a unified …

Abstract Background Women in LMICs are important agricultural actors; however, these
same women, and with their children, suffer high rates of acute malnutrition during armed …

Despite the world becoming more interconnected than ever before, inequality and poverty
continue to pose a threat to sustainable development. In response to these challenges, the …

A significant challenge for hospitals and medical practitioners in low-and middle-income
nations is the lack of sufficient health care facilities for timely medical diagnosis of chronic …

Introduction Dynamic Bayesian networks improve the modeling of complex systems by
incorporating continuous probabilistic relationships between covariates that change over …

Purpose The discourse on the human-centricity of AI at work needs contextualization. The
aim of this study is to distinguish prevalent criteria of human-centricity for AI applications in …

Children with unbalanced nutrition are currently crucial health issues and under the spotlight
around the world. One of the terms for malnourished children is stunting. Stunting is a …