activity
20182020
most citedSensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction on the Edge

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DC2020

Intelligent Service Selection in a Multi-dimensional Environment of Cloud Providers for IoT stream Data through cloudlets

Omid Halimi Milani, S. Ahmad Motamedi, Saeed Sharifian

The expansion of the Internet of Things(IoT) services and a huge amount of data generated by different sensors, signify the importance of cloud computing services like Storage as a…

cs.NI20191 cited

SensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction on the Edge

Pooya Khandel, Amir Hossein Rassafi, Vahid Pourahmadi +2

In IoT solutions, it is usually desirable to collect data from a large number of distributed IoT sensors at a central node in the cloud for further processing. One of the main desi…

cs.NI2019

openCoT: The opensource Cloud of Things platform

Abolfazl Danayi, Saeed Sharifian

In order to address the complexity and extensiveness of technology, Cloud Computing is utilized with four main service models. The most recent service model, function-as-a-service,…

cs.NE2018

Tree-Based Optimization: A Meta-Algorithm for Metaheuristic Optimization

Benyamin Ghojogh, Saeed Sharifian, Hoda Mohammadzade

Designing search algorithms for finding global optima is one of the most active research fields, recently. These algorithms consist of two main categories, i.e., classic mathematic…

cs.NE2018

Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm

Benyamin Ghojogh, Saeed Sharifian

Nowadays, metaheuristic optimization algorithms are used to find the global optima in difficult search spaces. Pontogammarus Maeoticus Swarm Optimization (PMSO) is a metaheuristic…