Sampling of RFs of different aspect ratios from our thresholding algorithms and recordings on macaques’ V1 and V2. by Ilias Rentzeperis (10215602)

Subjects:

The used test functions in the evaluation. by Xuan Chen (158617)

Strong negative correlation between the precision of algorithms and the evolutionary distance from the training data. by Sven B. Gould (12237287)

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

Reverse Designing the Wavelength-Specific Thermally Activation Delayed Fluorescent Molecules Using a Genetic Algorithm Coupled with Cheap QM Methods by Xubin Wang (1861147)

“…The fitness function includes three key parameters, i.e., the emission wavelength, the energy gap (Δ<i>E</i>_ST) between the lowest singlet (S₁)- and triplet (T₁)-excited states, and the oscillator strengths for electron transition from S₀ and S₁. …”

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>). …”

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

“…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

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.…”

Evaluation of the optimization algorithm using <i>in vitro</i> microbiome reference values. by Juan Ricardo Velasco-Álvarez (16859181)

“…<p>A: Evolution of biomass fraction distribution during the cycles of adaptation enforced by the gradient descent algorithm using a value of <i>α</i> = 0.25 and <i>in vitro</i> abundance data obtained from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0290082#pone.0290082.ref021" target="_blank">21</a>]; B: Comparison of pie charts for the <i>in vitro</i> reference biomass percentage distributions (left) and the obtained with the modeling strategy based on the gradient descent algorithm (right); C: Performance functional (<i>J</i>) evolution for <i>in vitro</i> microbiome simulation.…”

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. …”

MSIPOA algorithm flow chart. by Chuang Zhang (2199421)

“…A levy flight strategy further improves the algorithm’s ability to jump out of local minima. In this paper, 12 benchmark test functions and 8 other newer swarm intelligence algorithms are compared in terms of convergence speed and convergence accuracy to evaluate the performance of the MSIPOA algorithm. …”

Details of the comparison algorithm parameters. by Yan Wei (32168)

“…Therefore, this study proposed a feature selection prediction model (bGEBA-SVM) based on an improved bat algorithm and support vector machine by extracting 1694 college graduates from 2022 classes in Zhejiang Province. …”

Flow chart diagram of blind quantum algorithm. by Sultan H. Almotiri (14029251)

“…Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. …”

MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

MSEs for the adaptive filtering algorithms by using hyperbolic functions. by Sihai Guan (11547518)

Flowchart of weighting using the AHP method. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”

Flowchart of weighting using the entropy method. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”

A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…One can expect that the combination of multi-dimensional parameters from evolutionary biology, cell biology and molecular biology on evolutionary diverse species will significantly improve the next generation of machine leaning algorithms that serve localisation (and function) predictions.…”