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Exact(30)
Authentication is the secure identification of system users.
Identification of system matrices is made in the algebraic form.
The obtained results showed that the proposed method could act as an effective model in identification of system properties.
A plethora of algorithms and theories developed in the field of Machine Learning enable better identification of system dynamics and extensive control of the corresponding systems.
Closed-loop identification of system parameters and control gains using system classification-based neural networks is proposed and implemented.
Various evolutionary computation technologies have recently been developed for the identification of system parameters and skeletal-network structures.
Similar(30)
Identification of systems with slowly sampled output is studied.
This paper studies identification of systems in which only quantized output observations are available.
In this paper, identification of systems with binary-valued observations is investigated.
Mathematical modelling and identification of systems, where the structure of some equations is unknown, is a difficult task.
We consider identification of systems with a parallel serial (cascade) structure with multiple-input and multiple-output signals.
More suggestions(17)
evidence of system
identification of health
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identification of cost
identification of transportation
identification of command
identification of leadership
identification of mechanism
requirements of system
identification of systematic
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identification of schemes
identification of mechanisms
identification mechanism is
identification of the emissions
identify system
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