Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique
SS Swain, TK Khura, PK Sahoo, KA Chobhe… - Scientific Reports, 2024 - nature.com
An accurate assessment of nitrate leaching is important for efficient fertiliser utilisation and
groundwater pollution reduction. However, past studies could not efficiently model nitrate …
groundwater pollution reduction. However, past studies could not efficiently model nitrate …
Application of Artificial Intelligence to Predict CO2 Emissions: Critical Step towards Sustainable Environment
Prediction of carbon dioxide (CO2) emissions is a critical step towards a sustainable
environment. In any country, increasing the amount of CO2 emissions is an indicator of the …
environment. In any country, increasing the amount of CO2 emissions is an indicator of the …
Post-COVID-19 pandemic and the Paris agreement: a socioeconomic analysis and carbon emissions forecasting in developed and developing countries
The COVID-19 pandemic caused profound impacts on the global economy, resulting in a
sharp drop in carbon emissions as energy demand fell. The emissions reduction due to past …
sharp drop in carbon emissions as energy demand fell. The emissions reduction due to past …
Improving the spatial and temporal estimation of ecosystem respiration using multi-source data and machine learning methods in a rainfed winter wheat cropland
R Lu, P Zhang, Z Fu, J Jiang, J Wu, Q Cao… - Science of The Total …, 2023 - Elsevier
The investigation of ecosystem respiration (RE) and its vital influential factors along with the
timely and accurate detection of spatiotemporal variations in RE are essential for guiding …
timely and accurate detection of spatiotemporal variations in RE are essential for guiding …
Study on carbon emission reduction countermeasures based on carbon emission influencing factors and trends
X Tang, S Liu, Y Wang, Y Wan - Environmental Science and Pollution …, 2024 - Springer
The carbon mitigation response encompasses a variety of strategies aimed at mitigating
greenhouse gas emissions resulting from human activities. These measures are crafted to …
greenhouse gas emissions resulting from human activities. These measures are crafted to …
Forecasting of energy-related carbon dioxide emission using ANN combined with hybrid metaheuristic optimization algorithms
H Moayedi, A Mukhtar, NB Khedher… - Engineering …, 2024 - Taylor & Francis
Energy-related CO2 emissions are one of the biggest concerns facing urban design today,
increasing rapidly as cities grow. This study uses as inputs the GDP of the G8 nations (from …
increasing rapidly as cities grow. This study uses as inputs the GDP of the G8 nations (from …
The impact of double carbon goals on industrial structure in a region of China
Y Xie, H Zhang, Y Chen - Computers & Industrial Engineering, 2023 - Elsevier
As an extensive and profound systemic change, carbon emission reduction is driving the
reform and transformation of China's economic and industrial structure. Firstly, a variable …
reform and transformation of China's economic and industrial structure. Firstly, a variable …
Development and performance comparison of optimized machine learning-based regression models for predicting energy-related carbon dioxide emissions
E Koca Akkaya, AV Akkaya - Environmental Science and Pollution …, 2023 - Springer
Accurate prediction of CO2 emissions for the countries has become a crucial task in decision-
making processes for planning energy conversion and usage, supporting the design of …
making processes for planning energy conversion and usage, supporting the design of …
[HTML][HTML] Integrating machine learning methods for computing greenhouse gas emissions baselines in agriculture
Addressing climate change requires significant reductions in global greenhouse gas (GHG)
emissions. In Australia, agriculture accounts for approximately 16.8% of total emissions …
emissions. In Australia, agriculture accounts for approximately 16.8% of total emissions …
Journey from an enabler to a strategic leader: integration of the medical affairs function in ESG initiatives and values
D Furtner, G Hutas, BJW Tan, R Meier - Pharmaceutical Medicine, 2023 - Springer
Like most private enterprises, the pharmaceutical industry has deeply rooted environmental,
social, and governance (ESG) matters that challenge its long-term sustainability …
social, and governance (ESG) matters that challenge its long-term sustainability …