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Print 7142 Archive
Publication news
13 May, 2025Joint Article by Professors of Mathematics Department Published In "Annales Mathematicae Silesianae" Journal
13 May, 2025Mathematics Department Professor's Article in "Fractal and Fractional" Journal
28 April, 2025A Joint Article by Professors of the Mathematics Department Published in “Iranian Journal of Science”
28 April, 2025An Article by a Professor of the Mathematics Department Published in “Filomat” Journal
18 March, 2025Mathematics Department Professor's Article Published in "Ural Mathematical Journal"
12 March, 2025Joint Article by Mathematics Department Professors Published in "Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes" Journal
20 February, 2025Mathematics Department Professor's Article Published in "Filomat" Journal
08 January, 2025Mathematics Department Professors' Joint Article Published in "Applicable Analysis and Discrete Mathematics" Journal
05 December, 2024Joint Article by Mathematics Department Professors Published in "Sahand Communications in Mathematical Analysis"
20 November, 2024Book by Head of Political Science and Philosophy Department Published in Persian in Iran

Article by Khazar University scholar published in International Scientific Journal

An article entitled “Event-driven IoT architecture for data analysis of reliable healthcare application using complex event processing”, authored by Dr. Amir Rahmani, Professor of Computer Science at Khazar University was published in Cluster computing, an ISI-indexed journal from Springer collection.

Internet of Things (IoT) is enhancing the intelligence of the societies through a rapid transition to a smarter, automatic, responsive world due to the dramatic increase in the number of sensors deployed around the world. Complex Event Processing (CEP) is a data stream tracking method used to extract the meaningful data obtained from the network results in real-time decision making. In this paper, an event-driven IoT architecture is presented for data analysis of reliable healthcare applications, including context, event, and service layers. Dependability parameters are considered in each layer, and the CEP method as a novel solution and automated intelligence is applied in the event layer. Implementation results showed that the CEP method increased reliability, reduced costs, and improved healthcare quality.

The article can be found at this link: 

https://link.springer.com/article/10.1007/s10586-020-03189-w 

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