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Object identification for inventory management using convolutional neural network.

, , , and . AIPR, page 1-6. IEEE Computer Society, (2016)

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Real-time monitoring of machines using Open Platform Communication., , , , and . ICPHM, page 124-129. IEEE, (2017)Intelligent Condition Based Monitoring Using Acoustic Signals for Air Compressors., , , and . IEEE Trans. Reliab., 65 (1): 291-309 (2016)Generating feature sets for fault diagnosis using denoising stacked auto-encoder., , , , and . ICPHM, page 1-7. IEEE, (2016)Intelligent Condition Based Monitoring - For Turbines, Compressors, and Other - - Rotating Machines, and . Springer, (2020)Object identification for inventory management using convolutional neural network., , , and . AIPR, page 1-6. IEEE Computer Society, (2016)Fusion of Low-level Features with Stacked Autoencoder for Condition based Monitoring of Machines., , , , , and . ICPHM, page 1-8. IEEE, (2018)Adaptive dynamic output feedback control of Takagi-Sugeno fuzzy systems with immeasurable premise variables and disturbance., and . CICA, page 45-52. IEEE, (2014)Vision based counting of texture-less objects using shape and color features., , , , and . ICIIS, page 253-258. IEEE, (2016)Implementation of Core Manufacturing Simulation Data in aerospace industry., , , , , , , , , and 1 other author(s). WSC, page 2930. WSC, (2008)Android app for intelligent CBM., , , , and . ISIE, page 1-6. IEEE, (2013)