About: covid:arg/b281aec7972a4726b2709a61b51cacd899425825/0

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About: covid:arg/b281aec7972a4726b2709a61b51cacd899425825/0 Goto Sponge NotDistinct Permalink

An Entity of Type : amo:Claim, within Data Space : wasabi.inria.fr associated with source document(s)

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type	sioca:Idea aif:I-node aif:KnowledgePosition_Statement claim
wasQuotedFrom	Anomaly detection in milling tools using acoustic signals and generative adversarial networks
sioca:supports	covid:arg/b281aec7972a4726b2709a61b51cacd899425825/2 covid:arg/b281aec7972a4726b2709a61b51cacd899425825/1
aif:claimText	Anomalous and non - anomalous data are shown to be nearly linearly separable using the proposed method , resulting in 90 . 56 % tool condition classification accuracy and a 24 . 49 % improvement over classification without the method .
proves	covid:arg/b281aec7972a4726b2709a61b51cacd899425825/2 covid:arg/b281aec7972a4726b2709a61b51cacd899425825/1
is hasSource of	nodeID://b56440168 nodeID://b56469412 nodeID://b56469436 nodeID://b56512420 nodeID://b56656420 nodeID://b56755496 nodeID://b57029408 nodeID://b57179164 nodeID://b57186956 nodeID://b57331512 nodeID://b57403956 nodeID://b57404580 nodeID://b58043496
is sioca:supports of	covid:arg/b281aec7972a4726b2709a61b51cacd899425825/2 covid:arg/b281aec7972a4726b2709a61b51cacd899425825/1
is has claim of	covid:arg/b281aec7972a4726b2709a61b51cacd899425825
is proves of	covid:arg/b281aec7972a4726b2709a61b51cacd899425825/2 covid:arg/b281aec7972a4726b2709a61b51cacd899425825/1

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