| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Mamedova , M.H. An Algorithm For The Decision Synthesis In The Remote Monitoring System Of Physiological State Of Workers Employed At High-Risk Facilities / M.H. Mamedova , Z.G. Jabrayilova // Proceedings of the 8th International Conference on Control and Optimization with Industrial Application. - Bakı, 2022. - P. 315-327. | |
| Annotasiya | |
| Continuous remote monitoring of the employee’s status employed at HRFs provides information about their real time health. In the paper, based on informative parameters of health status of workers employed in HRFs, a decision- making technique is proposed to identify the current health status of workers using fuzzy pattern recognition methods. The proposed IoT platform-based algorithm automatically analyzed the data and synthesized a diagnostic decision. | |
| Elektron variant | |
| Elektron variant |
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