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Found 8 papers, 0 papers with code
Energy versus Output Quality of Non-volatile Writes in Intermittent Computing
We explore how to improve the energy performance of battery-less Internet of Things (IoT) devices at the cost of a reduction in the quality of the output.
Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs
We present a combinatorial evaluation of power-performance-accuracy trade-offs of EEG applications at different approximation, power, and performance levels to provide insights into the disciplined tuning of approximation in EEG applications on embedded platforms.
Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms
Heterogeneity among edge devices and accuracy-performance trade-offs of DNN models present a complex exploration space while catering to the inference performance requirements.
Resilience of Deep Learning applications: a systematic survey of analysis and hardening techniques
Machine Learning (ML) is currently being exploited in numerous applications being one of the most effective Artificial Intelligence (AI) technologies, used in diverse fields, such as vision, autonomous systems, and alike.
Fast and Accurate Error Simulation for CNNs against Soft Errors
We compared our methodology against SASSIFI for the accuracy of functional error simulation w. r. t.
Energy-Efficient Mobile Robot Control via Run-time Monitoring of Environmental Complexity and Computing Workload
We propose an energy-efficient controller to minimize the energy consumption of a mobile robot by dynamically manipulating the mechanical and computational actuators of the robot.
Asynchronous Corner Tracking Algorithm based on Lifetime of Events for DAVIS Cameras
In this paper, a novel asynchronous corner tracking method is proposed that uses both events and intensity images captured by a DAVIS camera.
Dynamic Resource-aware Corner Detection for Bio-inspired Vision Sensors
The algorithm is based on an events' filtering strategy whose purpose is 1) to increase the accuracy by deliberately eliminating some incoming events, i. e., noise, and 2) to improve the real-time performance of the system, i. e., preserving a constant throughput in terms of input events per second, by discarding unnecessary events with a limited accuracy loss.
