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ThoR: A Motion-Dependent Physics-Informed Deep Learning Framework with Constraint-Centric Theory of Functional Connections for Rainfall Nowcasting. [PDF]
Sci RepGia KT, Van HT, Thanh AP, Minh NP.
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Dynamic SG-SKRDX hybrid framework for precision weather forecasting and crop suitability in the Cauvery Delta. [PDF]
Sci RepJanani K, Alageswaran R, Amirtharajan R.
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Hybrid physical-statistical framework for seasonal streamflow forecasting in the Upper Feather River Basin, California. [PDF]
Sci RepOzcan Z +7 more
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Deterministic nowcasting of geostationary satellite infrared brightness temperature using 3D U-Net diffusion model. [PDF]
Sci RepAfzali Gorooh V +5 more
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Seasonal quantile forecasting of solar photovoltaic power using Q-CNN-GRU. [PDF]
Sci RepAit Mouloud L +6 more
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Credible capacity evaluation of virtual power plants considering wind and PV uncertainties. [PDF]
Sci RepLi C +7 more
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Proceedings of the 15th International Workshop on Network and Operating Systems Support for Digital Audio and Video, 2005
The growth of wireless LANs has brought the expectation for high-bitrate streaming video to wireless PCs. However, it remains unclear how wireless channel characteristics impact the quality of streaming video sent over wireless LANs. This paper presents results from experiments that stream commercial video over a wireless campus network.
Mingzhe Li +3 more
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The growth of wireless LANs has brought the expectation for high-bitrate streaming video to wireless PCs. However, it remains unclear how wireless channel characteristics impact the quality of streaming video sent over wireless LANs. This paper presents results from experiments that stream commercial video over a wireless campus network.
Mingzhe Li +3 more
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pure and applied geophysics, 1980
Recent advances in the use of dynamical and statistical models to forecast the weather are described. High resolution physical—mathematical models can now predict the development of synoptic weather systems in great detail for a few days ahead, while large-scale phenomena like blocking can be predicted for about a week or more.
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Recent advances in the use of dynamical and statistical models to forecast the weather are described. High resolution physical—mathematical models can now predict the development of synoptic weather systems in great detail for a few days ahead, while large-scale phenomena like blocking can be predicted for about a week or more.
openaire +2 more sources
International Journal of Innovative Research in Engineering
My Project is on implementation of a weather forecasting using python and machine learning. real-time weather data from locations across the world. Through Python scripting, the project generates accurate forecasts for diverse regions, providing essential meteorological parameters such as temperature, wind speed, humidity, and weather conditions ...
Shabeena R, Sakthivel N
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My Project is on implementation of a weather forecasting using python and machine learning. real-time weather data from locations across the world. Through Python scripting, the project generates accurate forecasts for diverse regions, providing essential meteorological parameters such as temperature, wind speed, humidity, and weather conditions ...
Shabeena R, Sakthivel N
openaire +1 more source
Weather Dashboard (Weather Forecasting)
Access to accurate and timely weather information is vital for individuals, businesses, and governments to make informed decisions. However, existing weather forecasting systems often face challenges such as limited accuracy, lack of real-time updates, and difficulty in accessing localized data.A.Chaitanya +3 more
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