Latest Publications
Weakly supervised bounding box extraction for unlabeled data in table detection
Most of the table detection tasks are using existing off-
the-shelf methods for their detection algorithm. However, datasets that
are used for evaluation are not challenging enough due to the lack of
quantity and diversity. To have a better comparison between proposed
methods we […]
Game Theoretic Reinforcement Learning Framework For Industrial Internet of Things
The fifth-generation (5G) wireless network provides high-rate, ultra-low latency, and high-reliability connections that can meet the industrial IoT requirements in factory automation, especially for swarm robotics communication. In this paper, we address 5G service provisioning in an automated warehouse scenario […]
Computing on Wheels: A Deep Reinforcement Learning-Based Approach
Future generation vehicles equipped with modern technologies will impose unprecedented computational demand due to the wide adoption of compute-intensive services with stringent latency requirements. The computational capacity of the next generation vehicular networks can be enhanced by incorporating vehicular edge […]
Energy-aware Control Of UAV-based Wireless Service Provisioning
Unmanned aerial vehicle (UAV)-assisted communications have several promising advantages, such as the ability to facilitate on-demand deployment, high flexibility in network reconfiguration, and high chance of having line-of-sight (LoS) communication links. In this paper, we aim to optimize the UAV […]
