4 citations · 7 across the 4 of their papers we have counts for
4 papers
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
Mona Esmaeili, Morteza Rahimi, Hadise Pishdast +3
Attacks against the Internet of Things (IoT) are rising as devices, applications, and interactions become more networked and integrated. The increase in cyber-attacks that target I…
Deep Reinforcement Learning for Online Latency Aware Workload Offloading in Mobile Edge Computing
Zeinab Akhavan, Mona Esmaeili, Babak Badnava +4
Owing to the resource-constrained feature of Internet of Things (IoT) devices, offloading tasks from IoT devices to the nearby mobile edge computing (MEC) servers can not only save…
Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv +4
The COVID-19 disease was first discovered in Wuhan, China, and spread quickly worldwide. After the COVID-19 pandemic, many researchers have begun to identify a way to diagnose the…
A new Potential-Based Reward Shaping for Reinforcement Learning Agent
Babak Badnava, Mona Esmaeili, Nasser Mozayani +1
Potential-based reward shaping (PBRS) is a particular category of machine learning methods which aims to improve the learning speed of a reinforcement learning agent by extracting…