69 citations · 237 across the 22 of their papers we have counts for
6 papers · 1 filter
Deep Reinforcement Learning for Adaptive Network Slicing in 5G for Intelligent Vehicular Systems and Smart Cities
Almuthanna Nassar, Yasin Yilmaz
Intelligent vehicular systems and smart city applications are the fastest growing Internet of things (IoT) implementations at a compound annual growth rate of 30%. In view of the r…
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate
Keval Doshi, Yasin Yilmaz
Anomaly detection in surveillance videos is attracting an increasing amount of attention. Despite the competitive performance of recent methods, they lack theoretical performance a…
Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks
Keval Doshi, Yasin Yilmaz, Suleyman Uludag
Internet of Things (IoT) networks consist of sensors, actuators, mobile and wearable devices that can connect to the Internet. With billions of such devices already in the market w…
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey
Ammar Haydari, Yasin Yilmaz
Latest technological improvements increased the quality of transportation. New data-driven approaches bring out a new research direction for all control-based systems, e.g., in tra…
Continual Learning for Anomaly Detection in Surveillance Videos
Keval Doshi, Yasin Yilmaz
Anomaly detection in surveillance videos has been recently gaining attention. A challenging aspect of high-dimensional applications such as video surveillance is continual learning…
Any-Shot Sequential Anomaly Detection in Surveillance Videos
Keval Doshi, Yasin Yilmaz
Anomaly detection in surveillance videos has been recently gaining attention. Even though the performance of state-of-the-art methods on publicly available data sets has been compe…