Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam

SF Stefenon, MHDM Ribeiro, A Nied, KC Yow… - Electric Power Systems …, 2022 - Elsevier
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 …

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 …

A new methodology for the prediction of optimal conditions for dyes' electrochemical removal; Application of copula function, machine learning, deep learning, and …

FN Chianeh, MV Anaraki, F Mahmoudian… - Process Safety and …, 2024 - Elsevier
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) …

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 …

Association of outdoor air and noise pollution with unprovoked seizures and new onset epilepsy: A systematic review and meta‐analysis

TC Antaya, PH Espino‐Alvarado, T Oiamo, P Wilk… - …, 2024 - Wiley Online Library
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 …

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 …

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 …

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 …

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 …

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 …