Titlebook: Socially Just Research with Young People; Creating Activist So Alison Baker Book 2024 The Editor(s) (if applicable) and The Author(s), unde

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Alison Bakertand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate levelas well as applicants of soil erosion models..978-3-319-74285-4978-3-319-74286-1Series ISSN 2367-010X Series E-ISSN 2367-0118

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Alison Bakerration of input data, which is too spatial, and conventional methods proved to be too costly and time consuming for generating this input data. Due to advances in Remote Sensing technology, deriving the spatial information on input parameters has become more convenient and cost-effective. With the p

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Alison Baker.1 vision system based on the ACE16K smart image sensor (used within the first half of the project) and the Eye-RIS v1.2 vision system which supersedes the v1.1 and is based on a new generation of smart image sensors named Q-Eye. Their main components, features and experimental data that illustrate

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Alison Baker.1 vision system based on the ACE16K smart image sensor (used within the first half of the project) and the Eye-RIS v1.2 vision system which supersedes the v1.1 and is based on a new generation of smart image sensors named Q-Eye. Their main components, features and experimental data that illustrate

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Alison Bakerth real environments. This chapter describes an FPGA implementation of a Causal Neural Network based on a modified FitzHugh-Nagumo neuron to generate a Compact Internal Representation of dynamic environments for roving robots to avoid dynamic and static obstacles.

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