An Overview of Machine Learning and Deep Learning Applications in Earth Sciences in 2024: Achievements and Perspectives DOI
Mikhail Krinitskiy

Moscow University Physics Bulletin, Journal Year: 2024, Volume and Issue: 79(S2), P. S739 - S749

Published: Dec. 1, 2024

Language: Английский

Ventilation potential simulation based on multiple scenarios of land-use changes catering for urban planning goals in the metropolitan area DOI
Junda Huang, Yuncai Wang

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144301 - 144301

Published: Nov. 1, 2024

Language: Английский

Citations

0
Characteristics of the Moscow Heat Island and Quality of Its Simulation with the COSMO-Ru1-MSK Model Based on the Mosecomonitoring Observations DOI
И. Н. Кузнецова, Е. Г. Семутникова,

Е. А. Лезина

et al.

Russian Meteorology and Hydrology, Journal Year: 2024, Volume and Issue: 49(9), P. 795 - 810

Published: Sept. 1, 2024

Language: Английский

Citations

0
Approximation of Spatial and Temporal Variability of the Urban Heat Island in Moscow Using Machine Learning DOI
Mikhail Varentsov, Mikhail Krinitskiy, Victor Stepanenko

et al.

Moscow University Physics Bulletin, Journal Year: 2024, Volume and Issue: 79(S2), P. S784 - S797

Published: Dec. 1, 2024

Language: Английский

Citations

0
An Overview of Machine Learning and Deep Learning Applications in Earth Sciences in 2024: Achievements and Perspectives DOI
Mikhail Krinitskiy

Moscow University Physics Bulletin, Journal Year: 2024, Volume and Issue: 79(S2), P. S739 - S749

Published: Dec. 1, 2024

Language: Английский

Citations

0