Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
In hydroelectric plants, the responsibility for the operation of the reservoirs typically lies with
the national system operator, who controls the level of the reservoirs based on a stochastic …
the national system operator, who controls the level of the reservoirs based on a stochastic …
Comparative analysis of Air Quality Index prediction using deep learning algorithms
A Mishra, Y Gupta - Spatial Information Research, 2024 - Springer
This paper comprehensively reviews and compares methodologies used to monitor air
quality and their impact on human health. With urbanization and industrialization increasing …
quality and their impact on human health. With urbanization and industrialization increasing …
A new methodology for the prediction of optimal conditions for dyes' electrochemical removal; Application of copula function, machine learning, deep learning, and …
In the present study, a new methodology has been introduced for predicting the
simultaneous removal optimal conditions of Acid red 33 (AR33), Reactive orange 7 (RO7) …
simultaneous removal optimal conditions of Acid red 33 (AR33), Reactive orange 7 (RO7) …
A novel spatiotemporal multigraph convolutional network for air pollution prediction
J Chen, C Yuan, S Dong, J Feng, H Wang - Applied Intelligence, 2023 - Springer
With the industrialization of society, air pollution has become a critical environmental issue,
leading to excessive morbidity and mortality from cardiovascular and respiratory diseases in …
leading to excessive morbidity and mortality from cardiovascular and respiratory diseases in …
Association of outdoor air and noise pollution with unprovoked seizures and new onset epilepsy: A systematic review and meta‐analysis
Research has indicated that certain environmental exposures may increase the risk of
unprovoked seizures and new onset epilepsy. This study aimed to synthesize the literature …
unprovoked seizures and new onset epilepsy. This study aimed to synthesize the literature …
Reservoir production prediction model based on a stacked LSTM network and transfer learning
Y Dong, Y Zhang, F Liu, X Cheng - ACS omega, 2021 - ACS Publications
Gas injection and water injection are common and effective methods to improve oil recovery.
To ensure its production effect, it is necessary to simulate the oilfield production process …
To ensure its production effect, it is necessary to simulate the oilfield production process …
Air pollutant prediction based on a attention mechanism model of the Yangtze River Delta region in frequent heatwaves
B Liu, M Lai, P Zeng, J Chen - Atmospheric Research, 2024 - Elsevier
Heatwaves pose significant threats to urban environments, affecting both ecological systems
and public health, primarily through the exacerbation of air pollution. Accurate prediction of …
and public health, primarily through the exacerbation of air pollution. Accurate prediction of …
Explainable prediction of daily hospitalizations for cerebrovascular disease using stacked ensemble learning
X Lu, H Qiu - BMC Medical Informatics and Decision Making, 2023 - Springer
Background With the prevalence of cerebrovascular disease (CD) and the increasing strain
on healthcare resources, forecasting the healthcare demands of cerebrovascular patients …
on healthcare resources, forecasting the healthcare demands of cerebrovascular patients …
The usability of stacking-based ensemble learning model in crime prediction: a systematic review
C Eroglu, H Cakir - Crime Prevention and Community Safety, 2024 - Springer
This research addresses the potential for tackling crime volumes and improving crime
analytics through new enhancement strategies. The use of machine learning and deep …
analytics through new enhancement strategies. The use of machine learning and deep …
A Review on PM2. 5 Sources, Mass Prediction, and Association Analysis: Research Opportunities and Challenges
PY Yin - Sustainability, 2025 - mdpi.com
Air pollution has long been one of the most life-threatening issues which has led to massive
amounts of premature human death due to fatal diseases and environmental disasters …
amounts of premature human death due to fatal diseases and environmental disasters …