The abstract promises persistent homology based separation and reconstruction of multiple closed surfaces in noisy point clouds, but the manuscript body contains a different paper, so the result is unverifiable.
Deep learning-driven throughput maximization in covert communication for UA V-RIS cognitive systems,
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Robust Model Reconstruction Based on the Topological Understanding of Point Clouds Using Persistent Homology
The abstract promises persistent homology based separation and reconstruction of multiple closed surfaces in noisy point clouds, but the manuscript body contains a different paper, so the result is unverifiable.