Recommender systems for sustainability: overview and research issues
Sustainability development goals (SDGs) are regarded as a universal call to action with the
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …
Optimizing the readiness for industry 4.0 in fulfilling the Sustainable Development Goal 1: focus on poverty elimination in Africa
This study explores the transformative potential of fourth industrial revolution (called Industry
4.0) technologies in the context of poverty elimination, with a particular focus on Africa …
4.0) technologies in the context of poverty elimination, with a particular focus on Africa …
The impact of economic growth and fiscal policy on poverty rate in Uzbekistan: application of neutrosophic theory and time series approaches.
A Usmanova - International Journal of Neutrosophic Science …, 2023 - search.ebscohost.com
The aim of this paper is to analyze how economic growth and fiscal policy impact on poverty
rate in Uzbekistan. To reach this aim neutrosophic-AHP method was applied together with …
rate in Uzbekistan. To reach this aim neutrosophic-AHP method was applied together with …
Multi-Label Classification of Chinese Rural Poverty Governance Texts Based on XLNet and Bi-LSTM Fused Hierarchical Attention Mechanism
X Wang, L Guo - Applied Sciences, 2023 - mdpi.com
Hierarchical multi-label text classification (HMTC) is a highly relevant and widely discussed
topic in the era of big data, particularly for efficiently classifying extensive amounts of text …
topic in the era of big data, particularly for efficiently classifying extensive amounts of text …
[PDF][PDF] Leveraging artificial intelligence to meet the sustainable development goals
Aim/purpose–This study aims to identify the role of Artificial Intelligence (AI) in achieving the
Sustainable Development Goals (SDGs), with specific reference to their targets, and to …
Sustainable Development Goals (SDGs), with specific reference to their targets, and to …
[HTML][HTML] A Deep CNN-Based Salinity and Freshwater Fish Identification and Classification Using Deep Learning and Machine Learning
Concerning the oversight and safeguarding of aquatic environments, it is necessary to
ascertain the quantity of fish, their size, and their distribution. Many deep learning (DL) …
ascertain the quantity of fish, their size, and their distribution. Many deep learning (DL) …
An Empirical Investigation of the Relationship Between E-government Development and Multidimensional Poverty
A Usmanova - International Conference on Next Generation Wired …, 2022 - Springer
The aim of this paper is to analyze the impact of the e-government development on the
multidimensional poverty. For this purpose, correlation analysis and panel data analysis …
multidimensional poverty. For this purpose, correlation analysis and panel data analysis …
The impact of financial development and unemployment on poverty rate in the context of digital economy in Uzbekistan
A Usmanova - Proceedings of the 6th International Conference on …, 2022 - dl.acm.org
The aim of this paper is to analyze the impact of financial development index and
unemployment rate on poverty rate in Uzbekistan in the context of digital economy. To reach …
unemployment rate on poverty rate in Uzbekistan in the context of digital economy. To reach …
Impact of E-government on Poverty Rate: A Cross-Country Empirical Assessment
A Usmanova - International Conference on Next Generation Wired …, 2022 - Springer
This paper assesses empirically the influence of e-government on poverty rate, using data of
54 countries over the timespan of 2008–2018. The results provide strong evidence for the …
54 countries over the timespan of 2008–2018. The results provide strong evidence for the …
GeoRF: a geospatial random forest
The geospatial domain increasingly relies on data-driven methodologies to extract
actionable insights from the growing volume of available data. Despite the effectiveness of …
actionable insights from the growing volume of available data. Despite the effectiveness of …