Computer Sciences

New framework improves performance of deep neural networks

North Carolina State University researchers have developed a new framework for building deep neural networks via grammar-guided network generators. In experimental testing, the new networks—called AOGNets—have outperformed ...

Computer Sciences

Selecting the best features for phishing attack detection algorithms

In recent decades, phishing attacks have become increasingly common. These attacks allow attackers to obtain sensitive user data, such as passwords, usernames, credit card details, etc., by tricking people into disclosing ...

Machine Learning & AI

A CNN-based method to detect end-to-end multiplayer violence

Researchers at China University of Petroleum (CUP), in Beijing, have recently developed a new method for multiplayer violence detection based on deep 3-D convolutional neural networks (CNNs). Their method was presented in ...

Computer Sciences

DeepCrack: a new hierarchical CNN-based method for crack segmentation

Detecting and analyzing cracks in man-made structures is an important task that can help to ensure that buildings are safe and well-maintained. As employing human workers to inspect buildings regularly can be very expensive, ...

Machine Learning & AI

Object detection in 4K and 8K video using GPUs

Researchers at Carnegie Mellon University have recently developed a new model that enables fast and accurate object detection in high-resolution 4K and 8K video footage using GPUs. Their attention pipeline method carries ...

Engineering

Automatic fall detector attaches to wall, no wearable needed

For the elderly, falling down bears striking differences because, like sticks and stones, falls may well disturb some bones. Falls' outcomes may be a very far cry from a child's plaster on the knee, lollipop and note to the ...

Computer Sciences

Fast object detection in videos using region-of-interest packing

Researchers at the Robert Bosch Center for Data Science and Artificial Intelligence and Center for Computational Brain Research, Indian Institute of Technology Madras, and Purdue University have recently developed a new method ...

Hi Tech & Innovation

Adaptive anomaly detection in traffic surveillance videos

Researchers at Arizona State University (ASU) have recently developed a new method of detecting unusual activity in traffic surveillance videos, which is based on an adaptive anomaly detection (AAD) framework. Their method, ...

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