Machine Learning Frameworks in Carpooling

V Veeraiah, V Talukdar, K Manikandan… - … of Research on AI and …, 2023 - igi-global.com
Due to the development in human population and their requirements, the vehicular
population on the globe is increasing day by day in the medium of public transportation. As a …

South American business environment cost index: reforms for Brazil

P Ekel, P Bernardes, GMV Vale… - International Journal of …, 2022 - inderscienceonline.com
The World Bank's ease-of-doing-business index (EDBI) is the most popular instrument for
measuring countries' business environment conditions. Although useful to direct investments …

Factors that most expose countries to COVID-19: a composite indicators-based approach

MP Libório, PY Ekel, JF De Abreu, S Laudares - GeoJournal, 2022 - Springer
Studies carried out in different countries correlate social, economic, environmental, and
health factors with the number of cases and deaths from COVID-19. However, such studies …

[HTML][HTML] Software for building and measuring the quality of composite indicators using ordered weighted averaging: So-called S-CI-OWA

LC Ribeiro, MP Libório, H Mannan, S Laudares, PI Ekel… - SoftwareX, 2024 - Elsevier
Composite indicators are one-dimensional measures that help decision-makers understand
complex realities. Existing software builds composite indicators using different methods, also …

Hurting all the way: The emotional antecedent and consequence of social rejection

X Wang, M Li - Frontiers in Psychology, 2022 - frontiersin.org
Social rejection is cold and hurtful, but how and why it is formed remains under-investigated.
Our study offers one possible explanation from the rejector's perspective by developing a …

A Novel Approach for Multispatial and Multitemporal Analysis of Composite Indicators

MP Libório, E Fusco, AM Alves Diniz… - Social Indicators …, 2024 - Springer
This research provides an overview of the challenges in analyzing multidimensional social
exclusion data using multiple indicators. It highlights the importance of composite indicators …

Exploring the settlement models of the main foreign communities residing in Italy (2003–2021)

C Conti, M Mucciardi, M Simone - Social Sciences, 2023 - mdpi.com
In the last few decades, the foreign resident population in Italy has grown considerably,
showing a tendency towards a stable settlement. The spatial distribution of this population is …

Constrained optimization for addressing spatial heterogeneity in principal component analysis: an application to composite indicators

P Postiglione, A Cartone, MS Andreano… - Statistical Methods & …, 2023 - Springer
Principal component analysis, in its standard version, might not be appropriate for the
analysis of spatial data. Particularly, the presence of spatial heterogeneity has been …

Economic analysis through alternative data and big data techniques: what do they tell about Brazil?

MP Libório, PI Ekel, CAP da Silva Martins - SN Business & Economics, 2022 - Springer
Alternative data are now widely used in economic analyses worldwide but still infrequent in
studies on the Brazilian economy. This research demonstrates how alternative data …

Aplicación del método de análisis de componentes principales al índice de pobreza multidimensional: caso Los Alcarrizos

FA Llaugel, E Perez, M Llaugel - Ciencia y Sociedad, 2024 - revistas.intec.edu.do
Se estudia el cálculo del índice de pobreza multidimensional (IPM) para los distritos
municipales Los Alcarrizos, Pantoja y Palmarejo-Villa Linda, usando la información …