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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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for heavy-duty and utility vehicles. In this context, vehicle replacement decisions have become highly complex, influenced by evolving technologies, economic constraints, environmental goals, and legal
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interactions:(1) We propose to study the realization of more complex tasks than textual answers generation to include the generation of graphical widgets and data visualization means when appropriate
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