QoE-driven IoT architecture: a comprehensive review on system and resource management
B Saovapakhiran, W Naruephiphat… - IEEE …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) services have grown substantially in recent years. Consequently, IoT
service providers (SPs) are emerging in the market and competing to offer their services …
service providers (SPs) are emerging in the market and competing to offer their services …
[PDF][PDF] Towards scalable verification of deep reinforcement learning
Deep neural networks (DNNs) have gained significant popularity in recent years, becoming
the state of the art in a variety of domains. In particular, deep reinforcement learning (DRL) …
the state of the art in a variety of domains. In particular, deep reinforcement learning (DRL) …
[HTML][HTML] Verifying generalization in deep learning
Deep neural networks (DNNs) are the workhorses of deep learning, which constitutes the
state of the art in numerous application domains. However, DNN-based decision rules are …
state of the art in numerous application domains. However, DNN-based decision rules are …
[HTML][HTML] Smart traffic shaping based on distributed reinforcement learning for multimedia streaming over 5G-VANET communication technology
Vehicles serve as mobile nodes in a high-mobility MANET technique known as the vehicular
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …
[PDF][PDF] Formally Explaining Neural Networks within Reactive Systems
Deep neural networks (DNNs) are increasingly being used as controllers in reactive
systems. However, DNNs are highly opaque, which renders it difficult to explain and justify …
systems. However, DNNs are highly opaque, which renders it difficult to explain and justify …
veriFIRE: verifying an industrial, learning-based wildfire detection system
In this short paper, we present our ongoing work on the veriFIRE project—a collaboration
between industry and academia, aimed at using verification for increasing the reliability of a …
between industry and academia, aimed at using verification for increasing the reliability of a …
[HTML][HTML] A reinforcement learning-based routing for real-time multimedia traffic transmission over software-defined networking
M Al Jameel, T Kanakis, S Turner, A Al-Sherbaz… - Electronics, 2022 - mdpi.com
Recently, video streaming services consumption has grown massively and is foreseen to
increase even more in the future. The tremendous traffic usage has negatively impacted the …
increase even more in the future. The tremendous traffic usage has negatively impacted the …
Estimation of the quality of experience during video streaming from facial expression and gaze direction
This article investigates the possibility to estimate the perceived Quality of Experience (QoE)
automatically and unobtrusively by analyzing the face of the consumer of video streaming …
automatically and unobtrusively by analyzing the face of the consumer of video streaming …
[HTML][HTML] Deep reinforcement learning-based approach for video streaming: Dynamic adaptive video streaming over HTTP
Dynamic adaptive video streaming over HTTP (DASH) plays a crucial role in delivering
video across networks. Traditional adaptive bitrate (ABR) algorithms adjust video segment …
video across networks. Traditional adaptive bitrate (ABR) algorithms adjust video segment …
QoE Aware Video Streaming Scheme Utilizing GRU-based Bandwidth Prediction And Adaptive Bitrate Selection For Heterogeneous Mobile Networks
Nowadays, video streaming has become a popular form of multimedia for communication
and entertainment. The rapid traffic explosion spurred by the development of emerging …
and entertainment. The rapid traffic explosion spurred by the development of emerging …