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Making simulations more accurate than ever with deep learning
Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...
Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making ...
A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
Workflow for Real-Time Sludge Moisture Content Prediction Using Deep Learning. This figure illustrates the workflow for predicting sludge moisture content using deep learning. The process begins with ...
A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning–based approach that significantly accelerates the ...
2020 DEC 22 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Current study results on Risk Management have been published. According to news reporting originating from Taipei ...
In a significant breakthrough, researchers have developed an advanced explainable deep learning model to predict and analyze harmful algal blooms (HABs) in freshwater lakes and reservoirs across China ...
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