Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction

no code implementations • Journal Pre-proof 2021 • Ahmad Ali, Yanmin Zhu, Muhammad Zakarya

To overcome the above issue, this paper advises a unified dynamic deep spatio-temporal neural network model based on convolutional neural networks and long short-term memory, termed as (DHSTNet) to simultaneously predict crowd flows in every region of a city.

Towards a Universal Features Set for IoT Botnet Attacks Detection

no code implementations • 1 Dec 2020 • Faisal Hussain, Syed Ghazanfar Abbas, Ubaid U. Fayyaz, Ghalib A. Shah, Abdullah Toqeer, Ahmad Ali

The security pitfalls of IoT devices make it easy for the attackers to exploit the IoT devices and make them a part of a botnet.

BIG-bench Machine Learning