Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…Hierarchical clustering was computed using the scikit learn module in Python. C) Dendrogram of averaged functional connectivity from healthy subjects. …"

Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

Algorithm 1. حسب Muhammad Zubair Rehman (11243478)

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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... حسب Giacomo Janson (8138517)

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

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... حسب Ross J. Burton (10941910)

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

The workflow of the proposed MSCA algorithm. حسب Muhammad Zubair Rehman (11243478)

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

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Properties of the benchmark functions. حسب Muhammad Zubair Rehman (11243478)

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Benchmark functions. حسب Qinghe Guo (21519322)

Two-dimensional multimodal functions. حسب Yu-Jun Zhang (185411)

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Multi-dimensional multimodal functions. حسب Yu-Jun Zhang (185411)

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Initialization parameter values for the comparison algorithms. حسب Muhammad Zubair Rehman (11243478)

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Mathematical formulae of the benchmark functions. حسب Muhammad Zubair Rehman (11243478)

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Results of multimodal two-dimensional function. حسب Yu-Jun Zhang (185411)

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Results of CEC2014 benchmark function. حسب Yu-Jun Zhang (185411)

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Multi-peak multidimensional function results. حسب Yu-Jun Zhang (185411)

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Unimodal function results, dimension = 30. حسب Yu-Jun Zhang (185411)

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Convergence curves of 27 benchmark functions. حسب Yu-Jun Zhang (185411)

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