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A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models., , , и . Reliab. Eng. Syst. Saf., (2019)An Intelligent Integrated Approach for Efficient Demand Side Management With Forecaster and Advanced Metering Infrastructure Frameworks in Smart Grid., , , , , , и . IEEE Access, (2020)A high-performance, resource-efficient, reconfigurable parallel-pipelined FFT processor for FPGA platforms., , , и . Microprocess. Microsystems, (2018)Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm., , , и . Sensors, 17 (12): 2834 (2017)A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models., , и . IEEE Trans. Ind. Electron., 65 (2): 1577-1584 (2018)An FPGA-Based Implementation of a Pipelined FFT Processor for High-Speed Signal Processing Applications., , , и . ARC, том 10216 из Lecture Notes in Computer Science, стр. 81-89. (2017)DDPG-Based Adaptive Sliding Mode Control with Extended State Observer for Multibody Robot Systems., , , , , и . Robotics, 12 (6): 161 (октября 2023)Real-Time Vehicle Recognition and Improved Traffic Congestion Resolution., , , и . FIT, стр. 228-233. IEEE Computer Society, (2015)No-frills Water Comfort for Developing Regions., , , , , и . IPSN, стр. 61-72. IEEE, (2020)A Reliable Health Indicator for Fault Prognosis of Bearings., , , , , , , и . Sensors, 18 (11): 3740 (2018)