个人简介
Prof. Mohammad Khishe
Prof. Mohammad Khishe
Department of Electrical Engineering Imam Khomeini University of Maritime Sciences, Iran
标题: The Role of Artificial Intelligence in Detecting and Controlling of Underwater Acoustic Noises
摘要: 
The vibration of the ship's equipment and the cavitation of its propellers are the primary sources of noise production. The unique information included in the noise is utilized to identify the maritime boats in the ocean. In today's world, sonar targets are categorized based on the sound waves that emanate from them in a variety of ways. Various factors, including as climatic conditions, ambient noise, and a time-varying propagation route, all have an effect on the spectrum of the underwater sound wave that has been received. Recent years have seen the development of two categorization approaches to deal with the previously stated difficulties. The first type of approach is known as deterministic methods, and it is based on oceanography, sonar modeling and engineering, and statistical processing, among other things. The second way is stochastic methods, which have a variety of applications, including the prediction of oceanic phenomena, the improvement of feature extraction approaches, and the introduction of innovative classification techniques. It has been demonstrated that the Artificial Intelligence (AI) scheme is the most well-known stochastic technique in use today. In contrast to other approaches, the AI method is a dependable methodology that exhibits several benefits over the others, including promising accuracy, intrinsic parallel configuration, and flexibility. Because of these advantages, artificial intelligence approaches are useful in a wide range of engineering problems, particularly in the categorization of underwater targets. Therefore, in this lecture, I will try to introduce the outstanding capability of AI-based system in detecting and controlling of underwater acoustic noises.