Abstract: To assess the wind power potential of a specific wind site, a suitable distribution function that best suits the wind data needs to be known. In this study, we employ four probability ...

Abstract: We present two new iterative decoding algorithms for channels affected by strong phase noise and compare them with the best existing algorithms proposed in the literature. The proposed ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2015.

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Our approach consists of two phases: 1) tool making: an LLM acts as the tool maker that crafts tools for a set of tasks, where a tool is implemented as a Python utility function. 2) tool using: ...