Bayesian coalition game for contention-aware reliable data forwarding in vehicular mobile cloud
The exponential growth in the demands of users to access various resources during mobility
has led to the popularity of Vehicular Mobile Cloud. Vehicular users may access various …
has led to the popularity of Vehicular Mobile Cloud. Vehicular users may access various …
Minimum positive influence dominating set and its application in influence maximization: a learning automata approach
In recent years, with the rapid development of online social networks, an enormous amount
of information has been generated and diffused by human interactions through online social …
of information has been generated and diffused by human interactions through online social …
Decreasing impact of sla violations: a proactive resource allocation approachfor cloud computing environments
H Morshedlou, MR Meybodi - IEEE Transactions on Cloud …, 2014 - ieeexplore.ieee.org
User satisfaction as a significant antecedent to user loyalty has been highlighted by many
researchers in market based literatures. SLA violation as an important factor can decrease …
researchers in market based literatures. SLA violation as an important factor can decrease …
Trust propagation algorithm based on learning automata for inferring local trust in online social networks
M Ghavipour, MR Meybodi - Knowledge-Based Systems, 2018 - Elsevier
Online social networks have provided an appropriate infrastructure for users to interact with
one another and share information. Since trust is one of the most important factors in forming …
one another and share information. Since trust is one of the most important factors in forming …
[HTML][HTML] Efficient identification of maximum independent sets in stochastic multilayer graphs with learning automata
Investigating the maximum independent set in stochastic multilayer graphs provides critical
insights into the structural and dynamical properties of complex networks. Recently …
insights into the structural and dynamical properties of complex networks. Recently …
Link prediction in weighted social networks using learning automata
B Moradabadi, MR Meybodi - Engineering Applications of Artificial …, 2018 - Elsevier
Link prediction is an important task in Social Network Analysis. The present paper
addresses predicting the emergence of future relationships among nodes in a social …
addresses predicting the emergence of future relationships among nodes in a social …
[图书][B] Recent advances in learning automata
This book is written for computer engineers, scientists, and students studying/working in
reinforcement learning and artificial intelligence domains. The book collects recent …
reinforcement learning and artificial intelligence domains. The book collects recent …
An adaptive fuzzy recommender system based on learning automata
M Ghavipour, MR Meybodi - Electronic Commerce Research and …, 2016 - Elsevier
Incorporating trust and distrust information into collaborative recommender systems
alleviates data sparsity and cold start problems. Since trust and distrust are a gradual …
alleviates data sparsity and cold start problems. Since trust and distrust are a gradual …
Sampling from complex networks using distributed learning automata
A complex network provides a framework for modeling many real-world phenomena in the
form of a network. In general, a complex network is considered as a graph of real world …
form of a network. In general, a complex network is considered as a graph of real world …
Mobility prediction in mobile wireless networks
JA Torkestani - Journal of Network and Computer Applications, 2012 - Elsevier
In realistic mobile ad-hoc network scenarios, the hosts usually travel to the pre-specified
destinations, and often exhibit non-random motion behaviors. In such mobility patterns, the …
destinations, and often exhibit non-random motion behaviors. In such mobility patterns, the …