Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Subjects:

Coarse-fine optimization algorithm. by Chao Ma (207385)

“…First, analyzes the current methods for evaluating image sharpness and proposes an improved Tenengrad function for the focused scene that could extract gradient information from the image in several directions and improve sharpness evaluation. …”

Types of training algorithms. by Caixia Yan (6647072)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

Subjects:

Flowchart of P&O-based MPPT algorithm. by Luqman Khan (17921419)

Summary of results of naïve Bayes algorithms. by Christopher E. Niemczak (8586861)

“…<div><p>Importance</p><p>Predicting neurocognitive deficits using complex auditory assessments could change how cognitive dysfunction is identified, and monitored over time. …”

Dice score for various <i>α</i> values (from the Eq 8) for the tracking of the CST and for the iFOD and PTT algorithms. by Thomas Durantel (20933812)

Subjects:

On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform by Zhehong Ai (17937324)

Subjects: “…customized multiobjective functions…”

Results from the performance-based assessments of hand function for PALS and the age/sex matched healthy subgroup. by Conor D. Hayden (20855587)

Comparison between different PSO algorithms on function 4–6. by Lai Xu (1828831)

Comparison between different PSO algorithms on function 1–3. by Lai Xu (1828831)

Comparison between different PSO algorithms on function 7–8. by Lai Xu (1828831)

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. by Arian Ashourvan (6685232)

Pairwise alignment results from human proteins and <i>H</i>. <i>pylori</i> proteins using Blosum 62 and PM250 algorithms. by Andrés Sánchez Caraballo (15354081)

Test functions. by Kejia Liu (5699651)

“…The escape rate from local optima within DGEP reached 35% higher than what standard GEP could achieve. …”

Five types of Beta functions considered. by Luan Carlos de Sena Monteiro Ozelim (16914117)

The proposed method for protein function prediction. by Seyyede Fatemeh Seyyedsalehi (10196767)

Tracking the discrete cluster assignment derived from HAC according to the linkage function used applied to the −log₂ IBD distance matrix. by James A. Watson (7305206)

“…Average linkage was arbitrarily chosen as the ‘reference’ method (any of four linkage functions could be used). These colours are then used to produce stacked barplots for cluster membership derived from three other algorithm specifications (complete, single and Ward’s criterion, panels B-D, respectively).…”

Fitness comparison on test function. by Kejia Liu (5699651)

“…The escape rate from local optima within DGEP reached 35% higher than what standard GEP could achieve. …”

RMSE values of different algorithms for different bands in the "Kherson" region. by YueSheng Jiang (19267984)