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Accurate Energy Modelling on the Cortex-M0 Processor for Profiling and Static Analysis.

, , , , and . ICECS 2022, page 1-4. IEEE, (2022)

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A Configurable Statistical Lossless Compression Core Based on Variable Order Markov Modeling and Arithmetic Coding., and . IEEE Trans. Computers, 54 (11): 1345-1359 (2005)Guest Editorial., , and . IET Comput. Digit. Tech., 9 (1): 1-2 (2015)eXtended Torus routing algorithm for networks-on-chip: a routing algorithm for dynamically reconfigurable networks-on-chip., , and . IET Comput. Digit. Tech., 8 (3): 148-162 (2014)Energy Proportional Neural Network Inference with Adaptive Voltage and Frequency Scaling.. IEEE Trans. Computers, 68 (5): 676-687 (2019)Ultrasonic Levitation with Software-Defined FPGAs and Electronically Phased Arrays., , , , , and . AHS, page 41-48. IEEE, (2019)Joint video fusion and super resolution based on Markov random fields., , and . ICIP, page 2150-2154. IEEE, (2014)Dynamic Voltage Scaling in a FPGA-based System-on-Chip., , and . FPL, page 459-462. IEEE, (2007)Applying data-parallel and scalar optimizations for the efficient implementation of the G.729A and G.723.1 speech coding standards., , , and . SIP, page 39-44. IASTED/ACTA Press, (2005)Enabling accurate modeling of power and energy consumption in an ARM-based System-on-Chip., and . Microprocess. Microsystems, 37 (3): 319-332 (2013)Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion., , , and . IEEE Access, (2020)