Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"

Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

"…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"

The algorithm of the applied models. حسب Elif Tuçe Bal (21367965)

الموضوعات:

Raw performance data for the first algorithm shown in Fig 9. حسب Weilun Wang (21559389)

"…<p>Raw performance data for the first algorithm shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0328223#pone.0328223.g009" target="_blank">Fig 9</a>.…"

Comparison of the EODA algorithm with existing algorithms in terms of recall. حسب Sunil Kumar (102321)

الموضوعات:

Comparison of the EODA algorithm with existing algorithms in terms of precision. حسب Sunil Kumar (102321)

الموضوعات:

IDRAS algorithm outline. حسب Ron Teichner (21492434)

الموضوعات:

Genetic algorithm iteration data chart. حسب Wenguang Li (6528113)

الموضوعات:

The algorithm of the AWGE-ESPCA model. حسب Rui Miao (1592461)

Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. حسب Sunil Kumar (102321)

الموضوعات:

ML algorithms in cyber security. حسب Abdullah Asım Yılmaz (20715311)

Genetic algorithm flowchart. حسب Wenguang Li (6528113)

الموضوعات:

Algorithm for the proposed work. حسب Shuvo Biswas (21728782)

الموضوعات:

Data for Figs 3–9. حسب Xiaogang Li (299205)

الموضوعات:

Flowchart of CNNBLSTM algorithm. حسب Guozhu Sui (21672798)

الموضوعات:

Scatter diagram of different principal elements. حسب Jizhong Wang (7441697)

"…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …"

The Search process of the genetic algorithm. حسب Wenguang Li (6528113)

الموضوعات:

Illustration of the training algorithm for the sPHMM. حسب Tianshu Li (1527088)

Parallel HSMM algorithm structure. حسب Andrew McDonald (2307400)

الموضوعات: