Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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CO2 emissions and climate change have become a topic of global importance for the international community, which should have led to immediate action to remedy this dangerous situation. The main objective of this work is to identify the causes and factors that can contribute to the reduction of CO2 emissions in the transportation sector. The estimation method based on Panel data for 25 countries around the world has shown that the density of the urban population and the heavy use of private vehicles in many metropolitans are the main causes of CO2 emissions. We have demonstrated that the development of renewable energies, the development of collective transport systems and sustainable forest management practices are concrete and practical solutions to fight against CO2 emissions in megalopolises.
Ahmed Derbel. 2026. \u201cAnalysis of Carbon Dioxide Emission from Transportation Sector using Panel Data Method\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 22 (GJHSS Volume 22 Issue B3): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 101
Country: Tunisia
Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management
Authors: Ahmed Derbel (PhD/Dr. count: 0)
View Count (all-time): 189
Total Views (Real + Logic): 1769
Total Downloads (simulated): 24
Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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CO2 emissions and climate change have become a topic of global importance for the international community, which should have led to immediate action to remedy this dangerous situation. The main objective of this work is to identify the causes and factors that can contribute to the reduction of CO2 emissions in the transportation sector. The estimation method based on Panel data for 25 countries around the world has shown that the density of the urban population and the heavy use of private vehicles in many metropolitans are the main causes of CO2 emissions. We have demonstrated that the development of renewable energies, the development of collective transport systems and sustainable forest management practices are concrete and practical solutions to fight against CO2 emissions in megalopolises.
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