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Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference., , и . PRIME, стр. 181-184. IEEE, (2022)Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks., , , , , и . Euro-Par Workshops, том 12480 из Lecture Notes in Computer Science, стр. 277-289. Springer, (2020)Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks., , , , , , , , и . CoRR, (2022)Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices., , , , , и . CoRR, (2023)Ultra-compact binary neural networks for human activity recognition on RISC-V processors., , , , , , , , и . CF, стр. 3-11. ACM, (2021)Battery-aware Design Exploration of Scheduling Policies for Multi-sensor Devices., , , и . ACM Great Lakes Symposium on VLSI, стр. 201-206. ACM, (2018)Approximate Energy-Efficient Encoding for Serial Interfaces., , и . ACM Trans. Design Autom. Electr. Syst., 22 (4): 64:1-64:25 (2017)Serial T0: approximate bus encoding for energy-efficient transmission of sensor signals., , и . DAC, стр. 14:1-14:6. ACM, (2016)Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware., , и . ISLPED, стр. 47:1-47:6. ACM, (2018)HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms., , , , , , , и . DAC, стр. 1-6. IEEE, (2023)