[HTML][HTML] Experimental investigation and machine learning modeling using LSTM and special relativity search of friction stir processed AA2024/Al2O3 nanocomposites
In this study, the friction stir technique is proposed to process aluminum nanocomposites
reinforced with alumina nanoparticles. The effects of different processing parameters …
reinforced with alumina nanoparticles. The effects of different processing parameters …
Carbon emissions forecasting based on tensor decomposition with multi-source data fusion
Accurately forecasting carbon dioxide emissions is crucial for policymakers and researchers
aiming to combat climate change and develop effective emission reduction strategies. This …
aiming to combat climate change and develop effective emission reduction strategies. This …
Urban transport emission prediction analysis through machine learning and deep learning techniques
About 6.6 million people die every year from air pollution diseases globally. Transportation
industry is considered one of the leading contributors in air pollution. This research utilizes …
industry is considered one of the leading contributors in air pollution. This research utilizes …
[HTML][HTML] Price forecasting through neural networks for crude oil, heating oil, and natural gas
B **, X Xu - Measurement: Energy, 2024 - Elsevier
Building price projections of various energy commodities has long been an important
endeavor for a wide range of participants in the energy market. We study the forecast …
endeavor for a wide range of participants in the energy market. We study the forecast …
Balancing law, sustainability, and the economy in China's responsible mineral resource extraction path
D Liu, Z Shang, T Lin, S Yue - Resources Policy, 2024 - Elsevier
This study assesses the impact of the rule of law, transparency, green economic growth,
foreign direct investment (FDI), innovation, and green technology imports on carbon dioxide …
foreign direct investment (FDI), innovation, and green technology imports on carbon dioxide …
The impact of green innovation on carbon reduction efficiency in China: Evidence from machine learning validation
Q Zhao, M Jiang, Z Zhao, F Liu, L Zhou - Energy Economics, 2024 - Elsevier
This study analyzes the environmental dynamics in the Yangtze River Economic Belt from
2006 to 2020, using panel data from 108 cities. Employing the Modified Undesirable Epsilon …
2006 to 2020, using panel data from 108 cities. Employing the Modified Undesirable Epsilon …
[HTML][HTML] A building operational carbon emissions database of 362 Chinese cities: Construction process and spatiotemporal characteristic analysis
Q Wang, X Jia, Y Zhao, H Zhou, X Zhang, B Lin… - Developments in the …, 2024 - Elsevier
The existing calculation methods of city building carbon emissions based on energy audits,
city statistics and energy balance sheets have problems such as time-consuming and labour …
city statistics and energy balance sheets have problems such as time-consuming and labour …
[HTML][HTML] Carbon peak prediction for differentiated cities from a low-carbon perspective: Key factors, scenario analysis, and low-carbon pathways
K Pan, B Liu, J Luo, Q Wang, J Li, L Tang, X **a… - Ecological …, 2024 - Elsevier
Cities constitute a critical component of the “dual carbon” strategy, highlighting the
importance of examining the carbon emission trends within various city categories to …
importance of examining the carbon emission trends within various city categories to …
RETRACTED ARTICLE: Achieving environmental sustainability through renewable energy transition in the Next Eleven countries: the importance of establishing …
M Murshed, I Ozturk, A Sinha, MM Alam - Economic Change and …, 2024 - Springer
The majority of the Next Eleven nations are yet to undergo the renewable energy transition
in full swing. Rather, over time, these nations have become even more reliant on fossil fuels …
in full swing. Rather, over time, these nations have become even more reliant on fossil fuels …
RETRACTED ARTICLE: Advancing toward a sustainable future: assessing the impact of energy transition, circular economy, and international trade on carbon …
Y Cao, J Cai, X Liu - Economic Change and Restructuring, 2024 - Springer
This study explores the connections between energy transition, circular economy principles,
and international trade to lessen carbon footprints for a sustainable future. It uses in-depth …
and international trade to lessen carbon footprints for a sustainable future. It uses in-depth …