9 citations · 18 across the 4 of their papers we have counts for
5 papers
Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture
Mohammad Hossein Modirrousta, Parisa Forghani Arani, Mahdi Aliyari Shoorehdeli
In order to gain access to networks, different types of intrusion attacks have been designed, and the attackers are working on improving them. Computer networks have become increas…
Adaptive Model Learning of Neural Networks with UUB Stability for Robot Dynamic Estimation
Pedram Agand, Mahdi Aliyari Shoorehdeli
Since batch algorithms suffer from lack of proficiency in confronting model mismatches and disturbances, this contribution proposes an adaptive scheme based on continuous Lyapunov…
Detection of Anomalies and Faults in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System
Mohammad Sadegh Sadeghi Garmaroodi, Faezeh Farivar, Mohammad Sayad Haghighi +2
Industry 4.0 will make manufacturing processes smarter but this smartness requires more environmental awareness, which in case of Industrial Internet of Things, is realized by the…
Between-Domain Instance Transition Via the Process of Gibbs Sampling in RBM
Hossein Shahabadi Farahani, Alireza Fatehi, Mahdi Aliyari Shoorehdeli
In this paper, we present a new idea for Transfer Learning (TL) based on Gibbs Sampling. Gibbs sampling is an algorithm in which instances are likely to transfer to a new state wit…
Improving the Izhikevich Model Based on Rat Basolateral Amygdala and Hippocampus Neurons, and Recognizing Their Possible Firing Patterns
Sahar Hojjatinia, Mahdi Aliyari Shoorehdeli, Zahra Fatahi +2
Introduction- Identifying the potential firing patterns following different brain regions under normal and abnormal conditions increases our understanding of events at the level of…