HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial. by Anna M. Leone (22486372)

Correspondence of grayscale values between brightness <i>l</i>₀ and brightness <i>l</i>_{<i>average</i>}. by Hui Huang (4122)

Training test results of different algorithms on natural scene exposure dataset. by Hao Wu (65943)

Subjects:

The cumulative distribution function of the original fingerprint error. by Ruiyi Tang (10302578)

Unimodal benchmark functions. by Rahila Hafiz (18137254)

“…We conduct simulation experiments and compare the proposed algorithm with the original WOA on thirteen benchmark test functions. …”

Multimodal benchmark functions. by Rahila Hafiz (18137254)

“…We conduct simulation experiments and compare the proposed algorithm with the original WOA on thirteen benchmark test functions. …”

FASTA sequence for marker rbcL. by Yujun Wang (1947196)

The results of 12 benchmarking functions of the maximum fitness function values. by Chuang Zhang (2199421)

CEC2019 benchmark functions. by Guangwei Liu (181992)

Subjects:

Effectiveness of fusion in Low-frequency fusion rules. by Yandong Liu (11893664)

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

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)

Algorithm pseudocode. by Cheng-jie Chen (22272090)

Subjects:

The results of 12 benchmarking functions of the best (minimum) fitness function values. by Chuang Zhang (2199421)

The results of 12 benchmarking functions in terms of the average fitness function values. by Chuang Zhang (2199421)

Statistcal calculations over 40 independent triels of HFPSO algorithm. by Abdullah Khan (377292)

Subjects:

Statistics table for ED algorithm and SNP-index algorithm association regions. by Jiaqi Li (220961)

Estimation of the convergence of the algorithm for simulated ARGs of <i>L</i> leaves: VI distance to real MCCs as a function of the number of iterations of the SA optimization, scaled by <i>L</i>. by Pierre Barrat-Charlaix (9556592)

Low-Rank Covariance Function Estimation for Multidimensional Functional Data by Jiayi Wang (294312)

“…Despite the lack of a closed form, under mild assumptions, the proposed estimator can achieve unified theoretical results that hold for any relative magnitudes between the sample size and the number of observations per sample field, and the rate of convergence reveals the phase-transition phenomenon from sparse to dense functional data. Based on a new representer theorem, an ADMM algorithm is developed for the trace-norm regularization. …”