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

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

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

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. …”

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”

Flowchart of proposed algorithm. by Tibebu Legesse (21030014)

“…Moreover, the proposed algorithm significantly extends network lifetime, with a <b>3.5%</b> and <b>7.5%</b> improvement over EAPS-AODV and AODV. …”

(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. by Devi Soorya Narayana Sasikumar (22331743)

Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

“…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”

Performance comparison of different algorithms. by Zhenggang Wang (1753657)

“…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …”

Schematic diagram of the TEAPS algorithm. by Yoshiaki Kariya (13767985)

Gene function enrichment analysis: GO function enrichment analysis (A) and KEGG pathway enrichment analysis (B). by Yaling Hu (11648397)

Flowchart of the phase optimization algorithm. by Maxim Terekhov (3429614)

Assessing binding site representation across dense arrays. by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

S5 Fig - by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

S4 Fig - by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

Performance of the SPP. by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

Formulation of the nucleotide String Packing Problem (SPP) as an Orienteering Problem (OP). by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

Modifying the linear integer programming model objective to include a position bias for activator sites and repressor sites. by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

A minor modification to the model fosters a diverse representation of binding sites as solutions are returned. by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

Stipulating positional constraints to design bacterial promoters. by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”