M
Mohammad Ali Pourmina
Researcher at Islamic Azad University
Publications - 66
Citations - 822
Mohammad Ali Pourmina is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Throughput & Network packet. The author has an hindex of 12, co-authored 60 publications receiving 600 citations. Previous affiliations of Mohammad Ali Pourmina include Islamic Azad University, Science and Research Branch, Tehran.
Papers
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An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach
TL;DR: This paper proposes a hybrid resource provisioning approach for cloud services that is based on a combination of the concept of the autonomic computing and the reinforcement learning and presents a framework for autonomic resources provisioning which is inspired by the cloud layer model.
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Secure communication in wireless sensor networks based on chaos synchronization using adaptive sliding mode control
TL;DR: This paper considers the secure communication in wireless sensor networks based on new robust adaptive finite time chaos synchronization approach in the presence of noise and uncertainty by using the modified Chua oscillators to generate the chaotic signals.
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Automatic liver segmentation in MRI images using an iterative watershed algorithm and artificial neural network
TL;DR: A new automatic system for liver segmentation in abdominal MRI images that utilizes MLP neural networks and watershed algorithm and uses trained neural networks to extract features of the liver region.
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Finite-time chaos synchronization and its application in wireless sensor networks
TL;DR: This paper considers the finite-time chaos synchronization of Chua chaotic oscillators based on the secure communication scheme in wireless sensor networks and proposes a sliding mode controller applied to the wireless sensor network to increase the robustness of the controller.
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An autonomic approach for resource provisioning of cloud services
TL;DR: This paper proposes an autonomic resource provisioning approach that is based on the concept of the control monitor-analyze-plan-execute (MAPE) loop, and designs a resource Provisioning framework for cloud environments.