چکیده مقاله
Artificial Intelligence AI , with its ability to analyze vast amounts of data, has emerged as a powerful tool for enhancing the efficiency of underwater detection systems using hydroacoustic sensors This paper examines the role of AI, including machine learning and deep learning algorithms, in analyzing underwater acoustic data, identifying underwater targets, and improving the accuracy and speed of detection It provides an overview of the advancements in AI for underwater acoustic detection and discusses the advantages of applying AI technologies to process hydroacoustic signals, such as pattern recognition and target classification Furthermore, the challenges associated with this technology are analyzed Overall, the integration of hydroacoustic sensors with AI technologies has opened new horizons in underwater monitoring and detection, offering broad applications in areas such as maritime security, scientific exploration, and underwater equipment management
کلیدواژهها
نویسندگان
Mohammadreza Najafi
Assistant Professor, Department of Mechanical Engineering, Faculty of Technology and Engineering, Imam Hossein University
Ali Bagheri
Researcher of Imam Hossein University
شیوه ارجاع
Najafi, Mohammadreza and Bagheri, Ali,1403,The application of artificial intelligence in the field of acoustic sensors in underwater environment,The 5th international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences,Mashhad
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی هوش مصنوعی و چشم انداز آینده آن در علوم مهندسی برق ، کامپیوتر ، مکانیک و مخابرات17 اسفند 1403 · مشهد