Machine Learning Method to Locate Unseen Sources in Deep Water

Researcher NIU Haiqiang from the Institute of Acoustics (IOA) of the Chinese Academy of Sciences and his colleagues from USA applied the machine learning classifiers to the ship localization in Santa Barbara Channel off the west coast of Cali...

Researchers Propose Intelligent CFAR Detector Based on Support Vector Machine

WANG Leiou and his team from the Institute of Acoustics of the Chinese Academy of Sciences proposed an intelligent CFAR detector based on support vector machine (SVM) to improve radar target detection in different backgrounds.

Source Localization in an Ocean Waveguide Using Supervised Machine Learning

Locating Weak Seismic Events by New Hybrid Correlation Stacking Method

Researcher LI Lei from the Institute of Acoustics of the Chinese Academy of Sciences, together with researchers from both China and Germany, propose a novel hybrid correlation stacking (HCS) method, which proves to be a reliable and efficient...

Improved Discretisation Method Enhances Computation Precision in Noise Analysis of the Power System