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Abstract: This paper focuses on multiple slow-time cross ambiguity functions (CAFs) shaping for probing range zones through the design of radar slow-time code and receiver filters to mitigate ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Corporate growth is the ultimate team sport, relying on multiple functions’ data, technology, and expertise. This is especially true as technology innovation and AI introduce new revenue streams and ...

1 Department of Software Engineering, Faculty of Graduate Studies for Statistical Research (FGSSR), Cairo University, Giza, Egypt. 2 Department of Information Systems, Higher Institute of Advanced ...

One of the main hurdles in achieving high forecast accuracy is dealing with data with multiple seasonality patterns. This means that the data might show variations daily, weekly, monthly, or yearly, ...

In the Python library, the synchronous call .invoke() on semantic functions does not seem to be internally handling the async call correctly. It works for a single call, but calling multiple times in ...