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