IEEE

A Novel Grating Lobe Suppression Method for Large-Spacing Phased Arrays Using Prephased Metalens and Limited Random Phase

Abstract: The electronically steered phased array (ESPA), which is composed of periodic antenna elements, usually uses subarrays with large spacing to lower system complexity and cost. This kind of ...
Frontiers

A random forest dynamic threshold imputation method for handling missing data in cognitive diagnosis assessments

The handling of missing data in cognitive diagnostic assessment is an important issue. The Random Forest Threshold Imputation (RFTI) method proposed by You et al. in 2023 is specifically designed for ...
Cochrane

Demonstration of new random-effects methods in RevMan

There are many methods available to fit random-effects meta-analysis. However, until 2024, the only option available in RevMan has been the DerSimonian and Laird random-effects method. This method is ...
InfoWorld

Better than reflection: Using method handles and variable handles in Java

Reflection was essential to the advanced Java toolkit for years. Now it's being superseded by newer, safer options. Here's how to use MethodHandle and VarHandle to gain programmatic access to methods ...
GitHub

Batch Steps in random order

The SDK uses java.util.HashMap to store the RequestSteps that are added to BatchRequestContent with addBatchRequestStep(). These are retrieved in BatchRequestContent#getBatchRequestContent() via ...
C&EN

Optimized Random Forest Method for 3D Evaluation of Coalbed Methane Content Using Geophysical Logging Data

Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China College of Geophysics and Petroleum Resources, Yangtze University, ...
Scientific Research Publishing

Sarra, S.A. and Sturgill, D. (2009) A Random Variable Shape Parameter Strategy for Radial Basis Function Approximation Methods.

ABSTRACT: Accurately approximating higher order derivatives is an inherently difficult problem. It is shown that a random variable shape parameter strategy can improve the accuracy of approximating ...
Scientific Research Publishing

Qi, Y. (2012) Random Forest for Bioinformatics. In: Zhang, C. and Ma, Y., Eds., Ensemble Machine Learning. Methods and Applications, Springer, New York, 307-323.

ABSTRACT: Quantitative headspace analysis of volatiles emitted by plants or any other living organisms in chemical ecology studies generates large multidimensional data that require extensive mining ...