Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Abstract: This communication introduces a new approach to achieve symmetrical array patterns using only phase adjustments in a Chebyshev-phase framework, employing a particle swarm optimization (PSO) ...

Why this exists Many industrial companies have large archives of legacy 2D drawings, PDFs, scans, and old documentation, but modern engineering workflows depend on editable 3D CAD. Current AI demos ...

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