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Zichao Shen, Neil Howard and Jose Nunez-Yanez
This paper investigates the energy savings that near-subthreshold processors can obtain in edge AI applications and proposes strategies to improve them while maintaining the accuracy of the application. The selected processors deploy adaptive voltage sca...
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Pál Schmitt, Song Fu, Ian Benson, Gavin Lavery, Stephanie Ordoñez-Sanchez, Carwyn Frost, Cameron Johnstone and Louise Kregting
Experimental testing of physical turbines, often at a smaller scale, is an essential tool for engineers to investigate fundamental design parameters such as power output and efficiency. Despite issues with scaling and blockage which are caused by limitat...
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Dmitry Namiot,Eugene Ilyushin,Ivan Chizhov
Pág. 30 - 34
The paper deals with the issues of formal verification of machine learning systems. With the growth of the introduction of systems based on machine learning in the so-called critical systems (systems with a very high cost of erroneous decisions and actio...
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Giuliano Sico, Maria Montanino, Fausta Loffredo, Carmela Borriello and Riccardo Miscioscia
Pyroelectric energy harvesting is one of the more recent and promising solid-state approaches for directly converting time-dependent temperature fluctuations into electric energy. Conventional printing technologies can offer many advantages for the produ...
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Hui Yao and Thomas Taimre
We consider the problem of estimating tail probabilities of random sums of scale mixture of phase-type distributions?a class of distributions corresponding to random variables which can be represented as a product of a non-negative but otherwise arbitrar...
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