Abstract: Computer numerical control (CNC) tool-wear prediction (TWPred) is an important issue in the industry. Recently, researchers have demonstrated that deep-learning models (DLMs) are effective ...

Abstract: Domain shift is regarded as a key factor affecting the robust-ness of many models. Recently, unsupervised auxiliary learning (e.g., input reconstruction) has been proposed to improve the ...

The method consists of three stages: CH selection, node energy prediction, and path finding. During the CH selection process, the deep recurrent neural network (DRNN) technique finds the best CH that ...

Compiling from source can be done by building a Docker image with the SDRangel in Docker project more specifically the SDRangel section. Note that you may also execute the instructions in the ...

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