A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms
This paper proposes a new approach to predicting the distribution of harmful substances in the atmosphere based on the combined use of the parameter estimation technique and machine learning algorithms. The essence of the proposed approach is based on the assumption that the concentration values pre...
Main Authors: | Muratkan Madiyarov, Nurlan Temirbekov, Nurlana Alimbekova, Yerzhan Malgazhdarov, Yerlan Yergaliyev |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Computation |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-3197/11/12/249 |
Similar Items
-
Atmospheric Processes
by: 362922 Nawrocki, Paul J., et al.
Published: (1963) -
Turbulence in the free atmosphere
by: Vinnichenko, Nikolai Konstantinovich, et al.
Published: (1980) -
Turbulence in the free atmosphere /
by: Vinnichenko, Nikolai Konstantinovich
Published: (1973) -
Atmospheric Optical Turbulence Characteristics over the Ocean Relevant to Astronomy and Atmospheric Physics
by: Manman Xu, et al.
Published: (2021-11-01) -
Turbulent transfer in the lower atmosphere/
by: 248435 Priestley, C. H. B.
Published: (1959)