Application of Deep Learning Algorithms to Increase the Accuracy of Control of Optical Parameters of Fiber-Optic Sensors
The development of accurate, robust and adaptive methods for monitoring the optical parameters of fiber-optic sensors (FOS) is one of the priority tasks in the field of precision measurements, especially in the context of rapidly growing requirements for intelligent monitoring systems. This paper presents a comprehensi...