Results 51 to 60 of about 3,413,041 (252)
Exploiting Domain Knowledge to Address Class Imbalance in Meteorological Data Mining
Applied Sciences, 2022 We deal with the problem of class imbalance in data mining and machine learning classification algorithms. This is the case where some of the class labels are represented by a small number of examples in the training dataset compared to the rest of the ...
Evangelos Tsagalidis +1 more
doaj +1 more source
Effects of random forest modeling decisions on biogeochemical time series predictions
Limnology and Oceanography: Methods, 2022 Random forests (RF) are an increasingly popular machine learning approach used to model biogeochemical processes in the Earth system. While RF models are robust to many assumptions that complicate deterministic models, there are several important ...
P. Regier +3 more
semanticscholar +1 more source
HOTSPOT ANALYSIS AND COMPARISON BETWEEN SATELLITE-DERIVED AEROSOL OPTICAL DEPTH AND GROUND-BASED PARTICULATE MATTER MEASUREMENTS IN METRO MANILA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Highly urbanized regions such as the Metro Manila area in the Philippines contribute to the deterioration of air quality through overpopulation, excessive vehicle emissions, and industrialization. However, the limited number of ground monitoring stations
B. A. B. Recto +7 more
doaj +1 more source
Remote Sensing, 2021 Generating spatiotemporally continuous land surface temperature (LST) data is in great demand for hydrology, meteorology, ecology, environmental studies, etc.
Weiwei Tan +3 more
semanticscholar +1 more source
Day-Ahead Wind Power Forecasting in Poland Based on Numerical Weather Prediction
Energies, 2021 The role of renewable energy sources in the Polish power system is growing. The highest share of installed capacity goes to wind and solar energy. Both sources are characterized by high variability of their power output and very low dispatchability ...
B. Bochenek +7 more
semanticscholar +1 more source
International Journal on Advanced Science, Engineering and Information Technology, 2019 Mean daily rainfall of more than 30mm could result in flood hazard. Accurate prediction of rainfall intensity could help in forecasting of flash flood and help to save lives and properties.
S. Chai +4 more
semanticscholar +1 more source
Impacts of Different Onset Time El Niño Events on Winter Precipitation over South China
Atmosphere, 2018 Winter precipitation over South China tended to be much higher than normal for the spring El Niño events during 1979–2016. For the spring El Niño events, the meridional and zonal circulations served as a bridge, linking the warmer sea
Lingli Fan, Jianjun Xu, Huade Guan
doaj +1 more source
Atmosphere, 2023 The properties and distributions of precipitation are often determined by specific synoptic patterns. Hence, the objective identification of corresponding impact patterns is an important field of research for improving rain forecasting.
Linguo Jing +5 more
doaj +1 more source
Forecasting the PM-10 using a deep neural network [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 The air pollutants related to PM-10 are increasingly adversely affecting people in upper Northern Thailand, especially during the annual dry season.
Chinawat Chairungrueang, Rati Wongsathan
doaj +1 more source
Rainfall Forecast Using Machine Learning with High Spatiotemporal Satellite Imagery Every 10 Minutes
Remote Sensing, 2022 Increasing the accuracy of rainfall forecasts is crucial as an effort to prevent hydrometeorological disasters. Weather changes that can occur suddenly and in a local scope make fast and precise weather forecasts increasingly difficult to inform ...
F. Simanjuntak +4 more
semanticscholar +1 more source