Titlebook: New Approaches for Multidimensional Signal Processing; Proceedings of Inter Roumen Kountchev,Rumen Mironov,Kazumi Nakamatsu Conference proc

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https://doi.org/10.1007/978-981-19-7842-5Pattern Recognition; Deep Learning; Machine Learning; Machine Intelligence; Neural Networks; Multidimensi

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Electromyography Signal Acquisition, Processing, Optimization and Its Applicationsue using EMG signals to monitor muscular activities for stress detection abnormalities and activation level and to study the biomechanics of various movements. EMG signal acquisition and the processing part are being updated day by day in terms of accuracy and artifact removal which makes the analys

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Research on the Radar Signal Classification Method Based on the Deep Faith Network Modelata. Its core basis is to build a neural network with multi-hidden layer structure and a large number of data, so as to obtain the features contained in the data and improve the accuracy of classification prediction. Radar signal classification is an important technology for radar signal processing.

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Measuring Machine Intelligence Using Black-Box-Based Universal Intelligence Metricsligent systems applied to real-life problem solving. The most important property of an intelligence metric must be its universality. Developing universal intelligence metrics is difficult based on the very large diversity of intelligent systems. A feasible approach for ensuring the universality of m