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Journal of Wood Science

Official Journal of the Japan Wood Research Society

Table 1 Experimental environment

From: Classification of acoustic emission signals in wood damage and fracture process based on empirical mode decomposition, discrete wavelet transform methods, and selected features

Hardware environment

Software environment

Memory

16 GB

System

Windows 10

CPU

Intel (R) Core (TM) i5-10210U CPU @ 1.60 GHz (8 CPUs), ~ 2.1 GHz

Environment

Tensorflow-gpu 2.4.1

DxDiag Version

10.00.19041.0928 64 bit Unicode

configuration

VS2019 + Python3.8 + keras 2.4.3

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