<b>The Negative Digital Root Implemented as a Mathematica Standalone Function</b> حسب Paul F. Marrero Romero (17450601)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"

<b>Gene Catalog and Associated Functional Data</b> for BioProject PRJNA1311452 حسب Satheeswaran Thangaraj (22187269)

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

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

<b>Algorithm Pseudocode</b> حسب Yibin Zhao (22425801)

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

"…The “ADT” program can be efficiently used to (a) formulate analytic functional forms of differential equations for ADT angles and diabatic potential energy matrix and (b) solve the set of coupled differential equations numerically to evaluate ADT angles, residue due to singularity­(ies), ADT matrices, and finally, diabatic potential energy surfaces (PESs). …"

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

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

CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. حسب Ruyi Dong (9038174)

Flowchart of proposed algorithm. حسب 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. …"

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

"…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"

Skeletonisation algorithm. حسب Jordan Hembrow (16908051)

The execution times (nano seconds) per particle are measured for four different algorithms [47], (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorit... حسب Abedalmuhdi Almomany (18547669)

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

Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms. حسب Ruyi Dong (9038174)

"…<p>Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms.…"

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

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

"…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …"

Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. حسب Jin Ding (11522)

Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)