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Acoustic Emissions Detection and Ranging of Cracks in Metal Tanks Using Deep Learning.

, , , , , , и . ApplePies, том 627 из Lecture Notes in Electrical Engineering, стр. 325-331. Springer, (2019)

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Integration of butterfly and inverse butterfly nets in embedded processors: Effects on power saving., , , , и . ACSCC, стр. 1457-1459. IEEE, (2012)FPGA-Based Road Crack Detection Using Deep Learning., , , , , и . SYSINT, том 546 из Lecture Notes in Networks and Systems, стр. 65-73. Springer, (2022)An Action-Selection Policy Generator for Reinforcement Learning Hardware Accelerators., , , , , , и . ApplePies, том 738 из Lecture Notes in Electrical Engineering, стр. 267-272. Springer, (2020)Robust throughput boosting for low latency dynamic partial reconfiguration., , , , , , и . SoCC, стр. 86-90. IEEE, (2017)Acoustic Emissions Detection and Ranging of Cracks in Metal Tanks Using Deep Learning., , , , , , и . ApplePies, том 627 из Lecture Notes in Electrical Engineering, стр. 325-331. Springer, (2019)A Wireless Sensor Node for Acoustic Emission Non-destructive Testing., , , , , , и . ApplePies, том 512 из Lecture Notes in Electrical Engineering, стр. 1-7. Springer, (2017)A M-PSK Timing Recovery Loop Based on Q-Learning., , , , , , и . ApplePies, том 866 из Lecture Notes in Electrical Engineering, стр. 39-44. Springer, (2021)Algorithm acceleration on LEON-2 processor using a reconfigurable bit manipulation unit., , , и . WISES, стр. 6-11. IEEE, (2010)VLSI implementation of reconfigurable cells for RFU in embedded processors., , , , и . ICECS, стр. 1180-1183. IEEE, (2010)Automatic IP Core Generator for FPGA-Based Q-Learning Hardware Accelerators., , , , , и . ApplePies, том 1036 из Lecture Notes in Electrical Engineering, стр. 242-247. Springer, (2022)