Computer Sciences

Computer vision in the dark using recurrent CNNs

Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.

Computer Sciences

A new method to detect false data injection (FDI) attacks

Researchers at Beijing Institute of Technology (BIT) have recently developed a new method to detect false data injection (FDI) attacks on critical infrastructure such as power grids. Their solution, outlined in a paper presented ...

Machine learning & AI

A method to reduce the number of neurons in recurrent neural networks

A team of researchers at Queen's University, in Canada, have recently proposed a new method to downsize random recurrent neural networks (rRNN), a class of artificial neural networks that is often used to make predictions ...

Computer Sciences

A new approach for low-resource machine transliteration using RNNs

A team of researchers at Universite du Quebec a Montreal and Vietnam National University Ho Chi Minh (VNU-HCM) have recently developed an approach for machine transliteration based on recurrent neural networks (RNNs). Transliteration ...

Computer Sciences

A new approach for software fault prediction using feature selection

Researchers at Taif University, Birzeit University and RMIT University have developed a new approach for software fault prediction (SFP), which addresses some of the limitations of existing machine learning SFP techniques. ...

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