The SSIM for the different algorithms. by Bingbing Li (461702)

Subjects:

The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Variations in cost-effectiveness ratios of eight Ebola screening algorithms as a function of sensitivities of the WHO case definition for the suspect and ECPS at -3 points of cut-off. by Antoine Oloma Tshomba (14271425)

Comparison of assembly results of three algorithms. by Guohua Cao (697580)

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

Confusion matrix <i>M</i> for murmur detection with three classes: Murmur present, murmur unknown, and murmur absent. by Matthew A. Reyna (16965038)

Subjects:

Pseudo-code of DMDDPG algorithm. by Guohua Cao (697580)

“…The simulation results indicate that the proposed algorithm, which models the first three joints and the last three joints of the robotic arm as multi-agents, demonstrates not only enhanced adaptability but also faster and more stable convergence.…”

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

The details of the Scelestial algorithm. by Mohammad-Hadi Foroughmand-Araabi (6658772)

“…<p>The inputs to the Scelestial algorithm are a) a set of sequences <i>S</i>, b) the degree of restriction of the restricted Steiner tree <i>k</i>. …”

Comparison of performance metrics of three algorithms. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

Analysis of full-length Ste5 (1–917) coding sequence with bioinformatics algorithms. by Francis W. Farley (17199744)

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

Comparison of site selection results of three algorithms. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

“…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

Subjects:

Reconstruction performance across algorithms, dynamics, cell types, and recording length. by Christian Donner (3663007)

Subjects:

Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)