This paper analyzes a number of basic coordination algorithms running on synchronous robotic networks. We provide upper and lower bounds on the time complexity of the move-toward-average and ...

Deep neural networks (DNNs) have been widely used for learning various wireless communication policies. While DNNs have demonstrated the ability to reduce the time complexity of inference, their ...

pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python pyEOF is a Python package for EOF and Rotated EOF Analysis . It takes advantage of sklearn.decomposition.PCA (for ...

This is my multi-month study plan for becoming a software engineer for a large company. Required: A little experience with coding (variables, loops, methods/functions, etc) Patience Time Note this is ...