Dragonfly algorithm and its hybrids: A survey on performance, objectives and applications
Swarm intelligence is a discipline which makes use of a number of agents for solving
optimization problems by producing low cost, fast and robust solutions. The dragonfly …
optimization problems by producing low cost, fast and robust solutions. The dragonfly …
A Comparative and Systematic Study of Machine Learning (ML) Approaches for Particulate Matter (PM) Prediction
Air quality in metropolitan areas has deteriorated due to growing urbanisation and
industrialisation, leading to severe health and significant economic consequences. This …
industrialisation, leading to severe health and significant economic consequences. This …
Improving PM2.5 prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm
Abstract Fine particulate matter (PM2. 5) is a significant air pollutant that drives the most
chronic health problems and premature mortality in big metropolitans such as Delhi. In such …
chronic health problems and premature mortality in big metropolitans such as Delhi. In such …
A deep learning approach to model daily particular matter of Ankara: Key features and forecasting
Y Akbal, KD Ünlü - International Journal of Environmental Science and …, 2022 - Springer
In this study, three different goals are pursued. Firstly, it is aimed to model particulate matter
(PM) of Ankara, the capital of Turkey, by utilizing hybrid deep learning methodology. To do …
(PM) of Ankara, the capital of Turkey, by utilizing hybrid deep learning methodology. To do …
Spatiotemporal estimation of the PM2. 5 concentration and human health risks combining the three-dimensional landscape pattern index and machine learning …
P Zhang, L Yang, W Ma, N Wang, F Wen, Q Liu - Environmental Research, 2022 - Elsevier
PM 2.5 pollution endangers human health and urban sustainable development. Land use
regression (LUR) is one of the most important methods to reveal the temporal and spatial …
regression (LUR) is one of the most important methods to reveal the temporal and spatial …
Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining
The prediction of particulate matter (PM) concentration around open-pit mining is crucial for
its control. To achieve this, machine learning (ML) techniques have been attempted in PM …
its control. To achieve this, machine learning (ML) techniques have been attempted in PM …
A combined prediction system for PM2. 5 concentration integrating spatio-temporal correlation extracting, multi-objective optimization weighting and non-parametric …
J Wang, Y Qian, Y Gao, M Lv, Y Zhou - Atmospheric Pollution Research, 2023 - Elsevier
Air pollution nowadays has seriously hindered the sustainable development. PM 2.5 greatly
affects air quality and human health, even facilitates virus transmission, making its …
affects air quality and human health, even facilitates virus transmission, making its …
Study of microwave and convective drying kinetics of pea pods (Pisum sativum L.): A new modeling approach using support vector regression methods optimized by …
L Hadjout‐Krimat, A Belbahi… - Journal of Food …, 2023 - Wiley Online Library
Abstract Machine learning and mathematical modeling techniques have been conducted to
model the thin layer drying kinetics of pea pods, under either microwave or conventional air …
model the thin layer drying kinetics of pea pods, under either microwave or conventional air …
Multi-factor PM2. 5 concentration optimization prediction model based on decomposition and integration
H Yang, W Wang, G Li - Urban Climate, 2024 - Elsevier
With the rapid expansion of increased energy consumption, the issue of air pollution comes
to be increasingly critical. It is essential to achieve accurate PM2. 5 concentration prediction …
to be increasingly critical. It is essential to achieve accurate PM2. 5 concentration prediction …
PM2. 5 concentration prediction using weighted CEEMDAN and improved LSTM neural network
L Zhang, J Liu, Y Feng, P Wu, P He - Environmental Science and Pollution …, 2023 - Springer
As the core of pollution prevention and management, accurate PM2. 5 concentration
prediction is crucial for human survival. However, due to the nonstationarity and nonlinearity …
prediction is crucial for human survival. However, due to the nonstationarity and nonlinearity …