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Investigation of Deep Neural Networks for Hypoid Gear Signal Classification to Identify Anomalies
2020 IEEE 8th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
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10.1109/aieee51419.2021.9435792
◽
2021
◽
Author(s):
Tadas Zvirblis
◽
Linas Petkevicius
◽
Pranas Vaitkus
◽
Eldar Sabanovic
◽
Viktor Skrickij
◽
...
Keyword(s):
Neural Networks
◽
Deep Neural Networks
◽
Signal Classification
◽
Hypoid Gear
Download Full-text
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2020 Computing in Cardiology Conference (CinC)
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10.22489/cinc.2020.133
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2020
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Author(s):
Maximilian Oppelt
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Maximilian Riehl
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Felix Kemeth
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Jan Steffan
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Cross-Subject EEG Signal Classification with Deep Neural Networks Applied to Motor Imagery
Mobile, Secure, and Programmable Networking - Lecture Notes in Computer Science
◽
10.1007/978-3-030-22885-9_12
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pp. 124-139
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Neural Networks
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Deep Neural Networks
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Signal Classification
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Eeg Signal
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Eeg Signal Classification
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Comparison of Keras Optimizers for Earthquake Signal Classification Based on Deep Neural Networks
10.1109/icoiact53268.2021.9563990
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2021
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Author(s):
I Wayan Mustika
◽
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Faisal Najib
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Neural Networks
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Deep Neural Networks
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Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT
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2018
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Neural Networks
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Deep Neural Networks
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Representation of adversarial images in deep neural networks and the human brain
10.32470/ccn.2018.1066-0
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Study on Intelligent Security Camera Systems for the Automated Detection of Nighttime Snatching Incidents using Deep Neural Networks
IEEJ Transactions on Industry Applications
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10.1541/ieejias.136.727
◽
2016
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pp. 727-734
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Cited By ~ 2
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Itaru Nagayama
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Akira Miyahara
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Keyword(s):
Neural Networks
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Deep Neural Networks
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Automated Detection
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Camera Systems
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Intelligent Security
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Memory Requirement Reduction of Deep Neural Networks for Field Programmable Gate Arrays Using Low-Bit Quantization of Parameters
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10.23919/eusipco47968.2020.9287739
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Author(s):
Niccolo Nicodemo
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Tuomas Virtanen
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Deep Neural Networks
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Field Programmable Gate Arrays
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Memory Requirement
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Gate Arrays
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Programmable Gate Arrays
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The Use of Deep Neural Networks to Predict Post-liver Transplant Mortality
10.26226/morressier.58eb975cd462b80290b4f9e3
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2017
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Brent Ershoff
Keyword(s):
Neural Networks
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Liver Transplant
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Financial Market Prediction and Improving the Performance Based on Large-scale Exogenous Variables and Deep Neural Networks
Korean Institute of Smart Media
◽
10.30693/smj.2020.9.4.26
◽
2020
◽
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◽
pp. 26-35
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Sung Gil Cheon
◽
Ju Hong Lee
◽
Bum Ghi Choi
◽
Jae Won Song
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Neural Networks
◽
Financial Market
◽
Large Scale
◽
Deep Neural Networks
◽
Exogenous Variables
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