Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...
Pressures such as pollution, climate change and altered flows threaten streams and rivers worldwide. A global meta-analysis reveals how these key stressors shape riverine biodiversity, and offers ...
Bryn Harman, CFA, has 40+ years of experience in corporate finance, including as CEO/CIO of value-oriented investing firm Pelouse Capital Management. Robert Kelly is managing director of XTS Energy ...
Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...
Abstract: By integrating a nearly infinite number of reconfigurable elements into a finite space, a spatially continuous array aperture is formed for holographic multiple-input multiple-output (HMIMO) ...
All tutorials require a clean instance of the Neo4j graph database system running for this tutorial. a small example dataset that on which you can learn all the design ideas and modeling power of ...
UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base ...
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