Zakaria Zoundi
Datos Biográficos
| ID | 4465411 |
|---|---|
| NOMBRE | Zakaria Zoundi |
| NOMBRES | Zakaria |
| APELLIDO | Zoundi |
| FIRMA | ZOUNDI Z |
| AFILIACIONES | Kobe University |
| ORCID | 0000-0002-0369-7216 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 2 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
Enhancing climate action evaluation using artificial neural networks
This study aims to enhance the evaluation of climate-related Sustainable Development Goals (SDGs), with a focus on SDG 13 ("Climate Action"), using Artificial Neural Networks (ANNs) methods. It examines seven critical 2023 SDG Global Index indexes to model and predict environmental performance. The innovative use of ANNs allows for capturing complex and non-linear interactions among sustainability indicators, surpassing traditional linear models.…
Fuel–food nexus in urban areas
This study examines the transmission of fuel prices to food security among households with motorcycles in Ouagadougou, Burkina Faso, combining quantitative and behavioural analyses. The results indicate that approximately 61.3% of households were affected by food insecurity between 2018 and 2019. This share comprises those experiencing meagre forms of food insecurity (24.8%), moderate food insecurity (28.3%), and the most severely affected (8.2%)…
CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach
Enhancing climate action evaluation using artificial neural networks
This study aims to enhance the evaluation of climate-related Sustainable Development Goals (SDGs), with a focus on SDG 13 ("Climate Action"), using Artificial Neural Networks (ANNs) methods. It examines seven critical 2023 SDG Global Index indexes to model and predict environmental performance. The innovative use of ANNs allows for capturing complex and non-linear interactions among sustainability indicators, surpassing traditional linear models.…
CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach
Fuel–food nexus in urban areas
This study examines the transmission of fuel prices to food security among households with motorcycles in Ouagadougou, Burkina Faso, combining quantitative and behavioural analyses. The results indicate that approximately 61.3% of households were affected by food insecurity between 2018 and 2019. This share comprises those experiencing meagre forms of food insecurity (24.8%), moderate food insecurity (28.3%), and the most severely affected (8.2%)…
Enhancing climate action evaluation using artificial neural networks
This study aims to enhance the evaluation of climate-related Sustainable Development Goals (SDGs), with a focus on SDG 13 ("Climate Action"), using Artificial Neural Networks (ANNs) methods. It examines seven critical 2023 SDG Global Index indexes to model and predict environmental performance. The innovative use of ANNs allows for capturing complex and non-linear interactions among sustainability indicators, surpassing traditional linear models.…
Economics (2 obras) · Energy and Environment Impacts (2 obras) · Energy, Environment, Economic Growth (2 obras) · Action (physics (1 obra) · Agricultural economics (1 obra) · Agriculture (1 obra) · Artificial Intelligence (1 obra) · Artificial neural network (1 obra) · Cointegration (1 obra) · Computer Science (1 obra)