Heuristic algorithms designed in EC have great prospects for the transfer to synthetic biology and biotechnologies. by Alexander V. Spirov (11302085)

Livestock grazing detection algorithms by Christos Astaras (3632509)

“…<div>We provide here the .kcs files needed (along with access to the Wildlife Acoustics Kaleidoscope Pro software) for running the livestock bell, sheep/goat bleating and cow lowing detection algorithms in third party acoustic data. The algorithms (advanced classifiers) were developed using the cluster analysis function of Kaleidoscope Pro software using training data from the Rodopi Mountain Range National Park in Greece.…”

Posterior for parameter <i>θ</i> of the uniform toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

“…In (b), is shown the Hellinger distance from the prior to approximate posterior distribution, which is maximized directly within Algorithm 2. …”

Posterior for parameters <i>θ</i> of the bimodal toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

“…Metrics to evaluate the performance of Algorithm 2 are shown in (c), (d), and (e) as <i>N</i> varies resulting in different total numbers of simulations from the model. …”

Algorithm for generating virtual patients. by Adrianne L. Jenner (11133854)

“…<b>3)</b> A simulated annealing algorithm is then used to determine a parameter set that optimises the objective function <i>J</i>(<i>p</i>) (<a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1009753#ppat.1009753.e059" target="_blank">Eq 17</a>). …”

Schematic view of the overall algorithm. by Betty Wutzl (6945248)

Genetic algorithm meta-parameters. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

The entity relationship of DDPG algorithm. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

Genetic Algorithm parameter search. by Elishai Ezra-Tsur (11888717)

“…</b> Illustration of the second generation. The best individuals from Gen 0 are copied to Gen 1 and the rest are a combination of different individuals from the previous generation (illustrated by individuals with combinations of colors). …”

Heatmap results from the global sensitivity analysis for the generation of villous vessels within a placentone. by Diana C. de Oliveira (9220729)

Comparison the number of objective function evaluations the proposed algorithm (LDHS), exhaustive search, CSE, NHSA-DHSC, and epiACO in detecting different order interactions. by Fariba Esmaeili (532865)

Data extraction and patient algorithm. by Jennifer M. Kwan (3350321)

Posteriors for parameter <i>θ</i> in the simple diffusion model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

Diagram of the proposed solution algorithm. by Vytautas Abromavičius (22008573)

VFH algorithm flow chart. by Qing Liang (654718)

“…In this paper, we mainly propose an obstacle avoidance method composed of three modules: environment perception, algorithm obstacle avoidance and motion control. Our method realizes the function of reasonable and safe obstacle avoidance of UAV in low-altitude complex environments. …”

Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. by Omid Chatrabgoun (17960015)

Cross-validated estimate of MSE error for the LASSO, Ridge and Elastic Net penalties (from top to bottom respectively) as a function of <i>log</i>λ. by Omid Chatrabgoun (17960015)

Mutations at functionally important interfaces. by Myo T. Naung (10873278)

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement - Fig 4 by Antoine Falisse (6061601)