Algorithm. by Daniel Sanchez-Taltavull (11654630)

Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

“…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …”

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

Automatic cropping algorithm. by Thomas W Georgi (12427189)

Flowchart of system algorithm. by Syed Zahurul Islam (9635163)

Meta-analysis of EBV GWAS of NPC. by Ka Wo Wong (18625847)

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Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

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Performance metrics of 28 and 9 SNPs in predicting NPC. by Ka Wo Wong (18625847)

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Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

Effective cluster radius from Ripley’s H-function for the NPC dataset. by Daniel F. Nino (9745709)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

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Average accuracy (across all 12 subject) as a function of the number of eigenvectors obtained with different dimensionality reduction techniques for the best classifier—k-NN (see a... by Elnaz Lashgari (11278808)

As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algor... by Daniela Huppenkothen (9174507)

“…We note that the middle row is a special case: here, <i>f</i>_target only corresponds to the proportions of the embedded cohort, while “success” for these two panels is defined as recovering maximally diverse cohorts, as this particular algorithm is designed to do. …”

Sliding window analysis with a window size of 1000 nucleotides and a step size of one base-pair. by Ka Wo Wong (18625847)

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Membership function of output for tank 1. by Tamiru Demelash Kassie (20678515)

Comparison of optimization performance of six ABC algorithms. by Shuhui Yu (1535500)

Comprehensive Re, F1 and Pre values of FcaNet-CycleGAN model. by Xiaojun Wang (50332)

Membership function of error E1 for tank 1. by Tamiru Demelash Kassie (20678515)

Data_Sheet_1_Modeling intracranial electrodes. A simulation platform for the evaluation of localization algorithms.pdf by Alejandro O. Blenkmann (13914651)

“…Introduction<p>Intracranial electrodes are implanted in patients with drug-resistant epilepsy as part of their pre-surgical evaluation. This allows the investigation of normal and pathological brain functions with excellent spatial and temporal resolution. …”

Algorithm membership function. by Mohamed Raef Smaoui (9865830)

“…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …”