16 citations · 41 across the 7 of their papers we have counts for
7 papers
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning
Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda +3
In delay-sensitive industrial internet of things (IIoT) applications, the age of information (AoI) is employed to characterize the freshness of information. Meanwhile, the emerging…
A Compact Deep Learning Model for Face Spoofing Detection
Seyedkooshan Hashemifard, Mohammad Akbari
In recent years, face biometric security systems are rapidly increasing, therefore, the presentation attack detection (PAD) has received significant attention from research communi…
Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
Mohammad Akbari, Jie Liang, Jingning Han +1
Recently deep learning-based image compression has shown the potential to outperform traditional codecs. However, most existing methods train multiple networks for multiple bit rat…
Twitter Spam Detection: A Systematic Review
Sepideh Bazzaz Abkenar, Mostafa Haghi Kashani, Mohammad Akbari +1
Nowadays, with the rise of Internet access and mobile devices around the globe, more people are using social networks for collaboration and receiving real-time information. Twitter…
Learned Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution
Jianping Lin, Mohammad Akbari, Haisheng Fu +7
In this proposal, we design a learned multi-frequency image compression approach that uses generalized octave convolutions to factorize the latent representations into high-frequen…
DRL-Based QoS-Aware Resource Allocation Scheme for Coexistence of Licensed and Unlicensed Users in LTE and Beyond
Mahdi Nouri Boroujerdi, Mohammad Akbari, Roghayeh Joda +2
In this paper, we employ deep reinforcement learning to develop a novel radio resource allocation and packet scheduling scheme for different Quality of Service (QoS) requirements a…