Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Data Parallel Extension for NumPy* or dpnp is a Python library that implements a subset of NumPy* that can be executed on any data parallel device. The subset is a drop-in replacement of core NumPy* ...
I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...
Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
Abstract: Accurate knowledge of initial complex excitation coefficients for phased-array elements is essential to ensure accurate array performance. In the literature, many array calibration ...
TensorFI is a fault injector for TensorFlow applications written in Python. It instruments the Tensorflow graph to inject faults at the level of individual operators. Unlike other fault injection ...
Abstract: Beamforming in distributed antenna arrays requires accurate coordination of the relative phasing between the separate wireless nodes. Principally, this coordination constitutes measuring the ...
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