Carbon emission prediction models: A review
Y **, A Sharifi, Z Li, S Chen, S Zeng, S Zhao - Science of the Total …, 2024 - Elsevier
Amidst growing concerns over the greenhouse effect, especially its consequential impacts,
establishing effective Carbon Emission Prediction Models (CEPMs) to comprehend and …
establishing effective Carbon Emission Prediction Models (CEPMs) to comprehend and …
A graph-factor-based random forest model for assessing and predicting carbon emission patterns-Pearl River Delta urban agglomeration
As China actively fulfills its emissions reduction obligations to meet the Paris climate goals, it
is crucial to explore carbon reduction policies at the city level, given the important role and …
is crucial to explore carbon reduction policies at the city level, given the important role and …
Time-Series Modeling and Forecasting of Cerebral Pressure–Flow Physiology: A Sco** Systematic Review of the Human and Animal Literature
The modeling and forecasting of cerebral pressure–flow dynamics in the time–frequency
domain have promising implications for veterinary and human life sciences research …
domain have promising implications for veterinary and human life sciences research …
Hybrid WARIMA-WANN algorithm for data prediction in bridge health monitoring system
B Sun, Y **e, H Zhou, R Li, T Wu, W Ruan - Structures, 2024 - Elsevier
Application of data-driven algorithm to model and predict the future trend of the structural
health monitoring (SHM) data serves as important references for the future safety evaluation …
health monitoring (SHM) data serves as important references for the future safety evaluation …
[HTML][HTML] Electronic waste (E-waste) generation and management scenario of India, and ARIMA forecasting of E-waste processing capacity of Maharashtra state till …
WA Bagwan - Waste Management Bulletin, 2024 - Elsevier
This article addresses a critical environmental issue largely attributed to Gen-Z, namely
Electronic waste (E-waste). The modern human lifestyle has significantly impacted waste …
Electronic waste (E-waste). The modern human lifestyle has significantly impacted waste …
Novel Transformer-based deep neural network for the prediction of post-refracturing production from oil wells
J Jia, D Li, L Wang, Q Fan - Advances in Geo-Energy …, 2024 - ager.yandypress.com
The accurate prediction of post-refracture production can be of great value in the selection of
target wells for refracturing. Given that production from post-refracture wells yields time …
target wells for refracturing. Given that production from post-refracture wells yields time …
Prediction and Comparison of In-Vehicle CO2 Concentration Based on ARIMA and LSTM Models
J Han, H Lin, Z Qin - Applied Sciences, 2023 - mdpi.com
An increase in the carbon dioxide (CO2) concentration within a vehicle can lead to a
decrease in air quality, resulting in numerous adverse effects on the human body. Therefore …
decrease in air quality, resulting in numerous adverse effects on the human body. Therefore …
Dynamic variations in and prediction of COVID-19 with omicron in the four first-tier cities of mainland China, Hong Kong, and Singapore
X Ni, B Sun, Z Hu, Q Cui, Z Zhang… - Frontiers in Public Health, 2023 - frontiersin.org
Background The COVID-19 pandemic, which began in late 2019, has resulted in the
devastating collapse of the social economy and more than 10 million deaths worldwide. A …
devastating collapse of the social economy and more than 10 million deaths worldwide. A …
Forecasting of AQI (PM2.5) for the three most polluted cities in India during COVID-19 by hybrid Daubechies discrete wavelet decomposition and autoregressive (Db …
Air pollution has emerged as a significant environmental challenge at the global level, and
India is majorly affected by it. Numerous emission sources, such as automobiles, industries …
India is majorly affected by it. Numerous emission sources, such as automobiles, industries …
[HTML][HTML] Phenological Response of an Evergreen Broadleaf Tree, Quercus acuta, to Meteorological Variability: Evaluation of the Performance of Time Series Models
J Park, M Hong, H Lee - Forests, 2024 - mdpi.com
Phenological events are key indicators for the assessment of climate change impacts on
ecosystems. Most previous studies have focused on identifying the timing of phenological …
ecosystems. Most previous studies have focused on identifying the timing of phenological …