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FPGA-Accelerated Time Series Mining on Low-Power IoT Devices
Research article (2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2020) · cited 17× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). FPGA-Accelerated Time Series Mining on Low-Power IoT Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/fpga-accelerated-time-series-mining-on-low-power-iot-devices
MLA“FPGA-Accelerated Time Series Mining on Low-Power IoT Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fpga-accelerated-time-series-mining-on-low-power-iot-devices.
BibTeX@misc{4ortxyz_fpga-accelerated-time-series-mining-on-low-power-iot-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FPGA-Accelerated Time Series Mining on Low-Power IoT Devices}}, year = {2026}, url = {https://4ort.xyz/entity/fpga-accelerated-time-series-mining-on-low-power-iot-devices}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FPGA-Accelerated Time Series Mining on Low-Power IoT Devices — https://4ort.xyz/entity/fpga-accelerated-time-series-mining-on-low-power-iot-devices (retrieved 2026-05-24)