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Map** the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …
artificial intelligence (GeoAI) in quantitative human geography studies, including the …
Greening the knowledge-based economies: Harnessing natural resources and innovation in information and communication technologies for green growth
The quest for green growth through the sustainable use of natural resources (NRs) and
innovation in information and communication technologies (IICTs) has gained the utmost …
innovation in information and communication technologies (IICTs) has gained the utmost …
A novel hybrid machine learning model for prediction of CO2 using socio-economic and energy attributes for climate change monitoring and mitigation policies
S Kumar - Ecological informatics, 2023 - Elsevier
Industrial development has contributed to carbon emissions majorly, resulting in high
concentrations of greenhouse gases (GHGs) in the environment leading to climate change …
concentrations of greenhouse gases (GHGs) in the environment leading to climate change …
Enhancing CO2 emissions prediction in Africa: A novel approach integrating enviroeconomic factors and nature-inspired neural network in the presence of unit root
The prediction of CO 2 emissions is critical for designing sustainable environmental policies
and meeting the Sustainable Development Goals, particularly those related to climate …
and meeting the Sustainable Development Goals, particularly those related to climate …
Forecasting the ecological footprint of G20 countries in the next 30 years
Abstract The Ecological Footprint evaluates the difference between the availability of
renewable resources and the extent of human consumption of these resources. Over the …
renewable resources and the extent of human consumption of these resources. Over the …
[HTML][HTML] Forecasting biocapacity and ecological footprint at a worldwide level to 2030 using neural networks
Constant environmental deterioration is a problem widely addressed by multiple
international organizations. However, given the current economic and technological …
international organizations. However, given the current economic and technological …
Predicting carbon dioxide emissions in the United States of America using machine learning algorithms
BP Chukwunonso, I Al-Wesabi, L Shixiang… - … Science and Pollution …, 2024 - Springer
Carbon dioxide (CO2) emissions result from human activities like burning fossil fuels. CO2 is
a greenhouse gas, contributing to global warming and climate change. Efforts to reduce …
a greenhouse gas, contributing to global warming and climate change. Efforts to reduce …
Estimation and prediction of ecological footprint using tourism development indices top tourist destination countries
During the last two decades, the ecological footprint (EF) has had various fluctuations and
has been associated with an upward trend, which can be a concern. This research aims to …
has been associated with an upward trend, which can be a concern. This research aims to …
Predicting the impacts of key development indices on the ecological footprint in Afghanistan using deep learning
AB Arian, MN Nazary, AZ Karimi, M Obiad - International Journal of …, 2025 - Springer
Evaluating the ecological footprint (EF) is one of the objectives of nations worldwide, playing
a vital role in preserving their environmental resources. This check aims to predict the …
a vital role in preserving their environmental resources. This check aims to predict the …
RETRACTED ARTICLE: Impact optical communication model in sustainable building construction over the carbon footprint detection using quantum networks
X Li, T Wang, L Li - Optical and Quantum Electronics, 2023 - Springer
From an urban planning perspective, accurately predicting urban block carbon emissions
(UBCE) based on built environment factors is a good way to minimize UBCE as well as …
(UBCE) based on built environment factors is a good way to minimize UBCE as well as …