Abstract There are ongoing efforts to move beyond the current paradigm of using deterministic products driven by observation-only data make binary warning decisions. Recent works have focused on severe thunderstorm hazards, such as hail, lightning, and tornadoes. This study discusses one first steps toward having probabilistic information combined with convective-scale short-term precipitation ...

Renewable energy sources, such as wind turbines, have become much more prevalent in recent years, and thus a popular form of generation. This is part due to the ‘Fit for 55’ EU initiative, part, rising fossil fuel prices, well perceived requirement nations power independence, influence renewable sources we can see marked increase large farms particular. However, by their very nature are highly ...

Abstract The core interest of this project is the development predictive estimates and identification modifiable risk factors for neurocognitive disorders based on multifactorial data from multiple health databases.We are conducting epidemiological research predicting diseases older adults included in National E-Infrastructure Aging Research (NEAR) using deep learning other AI methods. Explorin...

In recent years, in order to achieve the goal of “carbon peaking and carbon neutralization”, many countries have focused on development clean energy, prediction photovoltaic power generation has become a hot research topic. However, traditional methods only use meteorological factors such as temperature irradiance features generation, they rarely consider multi-features fusion for prediction. T...

Telemarketing remaining to be one of the most popular direct marketing techniques, which is urged make accurate predictions. It critical for banks have a mature machine learning approach forecasting problems. Through analysis time deposit telemarketing data Portuguese commercial on Kaggle.com, bank can more accurately locate target customers, so as improve efficiency increasing amount business....

| Long-term memory motion-compensated prediction extends the spatial displacement vector utilized in block-based hybrid video coding by a variable time delay permitting the use of more frames than the previously decoded one for motion compensated prediction. The long-term memory covers several seconds of decoded frames at encoder and decoder. The use of multiple frames for motion compensation i...