Algorithm parameters. by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Schematic diagram of dynamic step size expansion. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Flowchart outlining the spectral analysis reconstruction algorithm for quantitative phase imaging using non-telecentric DHM systems. by Brian Bogue-Jimenez (16954568)

Subjects: “…developed computational algorithm…”

Algorithm operation steps. by Junyan Wang (4738518)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Network structure of perception fusion algorithm. by Weilin Wu (13736)

Subjects:

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Statistical results of various algorithms. by ZeSheng Lin (20501356)

Subjects:

Generating the PSC kernel using a double exponential function. by Alireza Ghadimi (13839874)

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

Subjects:

Node matching step 1. by Shuwen Wang (457921)

Subjects:

Flowchart of improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

Subjects:

This appendix presents the flowchart used in the development of the particle swarm optimization algorithm for determining the optimal PID controller gain values. by Rafael Mendes Faria (18886798)

Instance count of all output steps based on schedulability. by Zhiqun Lin (1429501)

Subjects:

Count comparison of all output steps based on time performance. by Zhiqun Lin (1429501)

Subjects:

Steps in the proposed Apriori algorithm. by Yongkang Ding (21807539)

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning by Bernhard Vennemann (7434353)

“…In this article, we describe how unsupervised novelty detection algorithms can be used to automate the interpretation of blood flow data to improve outcomes through early detection of adverse cardiovascular events without requiring repeated check-ups in a clinical environment. …”