Available functions in the phase-shifting package. by Raul Castañeda (13932971)

Available functions in the numerical propagation package. by Raul Castañeda (13932971)

Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

Benchmark functions. by Xiaowen Zhang (83669)

Subjects:

BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

“…<p>(A) After Step 3, the entire weight of the cell is accounted for by BOFdat. …”

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)

Training results of different algorithms. by Bo Yu (241082)

Subjects:

Objective function values of each algorithm for solving large-scale problems. by Lijun Fan (2007628)

The flow of the genetic algorithm with the nested Frank-Wolfe algorithm. by Zhipeng Huang (1759759)

Subjects:

Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions. by Yang Cao (53545)

Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100. by Yang Cao (53545)

Unimodal benchmark functions. by Yu-Jun Zhang (185411)

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Function test results. by Xiaowen Zhang (83669)

Subjects:

Data_Sheet_3_Algorithmic Annotation of Functional Roles for Components of 3,044 Human Molecular Pathways.csv by Maxim Sorokin (4379848)

“…We proposed an algorithm that identifies functional roles of the pathway components and applied it to annotate 3,044 human molecular pathways extracted from the Biocarta, Reactome, KEGG, Qiagen Pathway Central, NCI, and HumanCYC databases and including 9,022 gene products. …”

Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Effects of prey’s speed change probability (<i>K</i>_<i>s</i>) on encounter frequency (<i>E</i>), agent numbers (<i>N</i>_<i>i</i>), and Nash equilibrium payoff... by Hiroyuki Ichijo (13891153)

Effects of prey’s detection distance (<i>D</i>_<i>s</i>) on encounter frequency (<i>E</i>), agent numbers (<i>N</i>_<i>i</i>), and Nash equilibrium payoffs (<su... by Hiroyuki Ichijo (13891153)

Effects of predators’ speed change probability (<i>K</i>_<i>w</i>) on encounter frequency (<i>E</i>), agent numbers (<i>N</i>_<i>i</i>), and Nash equilibrium pa... by Hiroyuki Ichijo (13891153)