Abstract: Superspreading events (SSEs) play a critical role in amplifying infectious disease spread, challenging containment efforts. While genomic analysis, contact tracing, and epidemiological data ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
Unified Capacity–Locality Problem (UCLP): a formal decision framework for bounded locality, information capacity, and progress accounting in polynomial-time computation. Includes the canonical ...
GastroPy gives researchers a modular, tested Python pipeline for working with electrogastrography data — from raw signal to publication-ready metrics. It is designed to work with EGG recordings from ...
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