Titlebook: Applications in Electronics Pervading Industry, Environment and Society; APPLEPIES 2023 Francesco Bellotti,Miltos D. Grammatikakis,Riccard

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Lernen, Erfahrung, Angewohnheitenwledge, this is the first work in the literature that addresses this topic. We implemented the system on an AMD-Xilinx ZedBoard development board using a small amount of hardware resources and requiring a limited dynamic power of 1.528 W. The data we obtained are compatible with the future implement

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Schmerz als Gefühl und der psychische Stresso 100?GHz). Like any other device, SFQ-based logic circuits suffer from manufacturing process issues, specifically concerning variations in the determined values of individual components such as the critical current of a Josephson junction and inductances. This leads to the need for a deep understan

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Placeboeffekte und Wunderheilungens, performance analysis requires detecting and recognizing the different types of shots. With the advances in microcontrollers and machine learning algorithms, this topic becomes ever more considerable. We propose a 1-D convolutional neural network (CNN) model and an embedded system based on Arduino

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Emotionspsychologie im Krankenhausmpression techniques decrease significantly energy requirements of the sensing networks proving essential when sensing nodes are not supported by constant power sources. Existing schemes pass through the reconstruction of the original time series data before moving to the diagnosis phase. However, t

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Heterogeneous Tightly-Coupled Dual Core Architecture Against Single Event Effectse the fault tolerance capabilities of these systems. However, they cannot withstand Hard Errors occurring in the architecture, and they have certain drawbacks for checkpoints and restore methodologies necessary to save and restore the correct state of the core. This paper shows an execution paradigm