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Abstract: Evidential reasoning (ER) rule has been widely used in dealing with uncertainty. As an important parameter to measure the inherent property of evidence, the evidence reliability makes the ER ...
Abstract: In this paper, secure control strategies are developed for stochastically sampled systems under Denial-of-Service (DoS)/deception attacks. The actual sampling intervals deviate from their ...
Our study found that PZ biopsies offer no additional benefit for TZ lesion tumors, and increasing the number of cores in the TZ region can compensate for the current limitations of TZ biopsies. These ...
As genetic studies grow, researchers are increasingly seeking to identify rare genetic variants with large impacts on traits. In this paper, we combine theoretical methods and data analysis to show ...
The coastal environment faces multiple challenges due to climate change and human activities. Sustainable marine resource management necessitates knowledge, and development of efficient ocean sampling ...
Sampling from a given probability distribution is fundamental across various disciplines, including physics, signal processing, and artificial intelligence. In recent years, the ascendancy of flow, ...
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 ...
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This package performs KDE operations on multidimensional data to: 1) calculate estimated PDFs (probability distribution functions), and 2) resample new data from those PDFs. A number of examples (also ...