Improved hybrid models for multi-step wind speed forecasting

To mitigate global warming by reducing emissions, wind is widely expected to become an alternative source of energy. Wind power generation uses the surface atmosphere, where movement blows the wind turbine to generate the ...

Certifying attack resistance of convolutional neural networks

When shopping for a watch, you may notice its water resistance rating, which indicates that the watch is warranted to be waterproof to a certain level. What about your neural network? Can one ensure a neural network is "attack ...

Enhanced video quality despite poor network conditions

Professor Jinwoo Shin and Professor Dongsu Han from the School of Electrical Engineering developed neural adaptive content-aware internet video delivery. This technology is a novel method that combines adaptive streaming ...

Predicting the accuracy of a neural network prior to training

Constructing a neural network model for each new dataset is the ultimate nightmare for every data scientist. What if you could forecast the accuracy of the neural network earlier thanks to accumulated experience and approximation? ...

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