Performance of machine learning algorithms. by Wenxue Liu (6877754)

AN EXPLORATION IN NATURE TO FIND ALGORITHMS IN DESIGN by Maryam Alibakhshi (21071159)

Algorithm of active TB case finding in intervention group. by Xiaolin Wei (287892)

K-shortest path algorithm, finding count, and OD algorithm. by Jin Ki Eom (21192426)

TB screening and diagnostic algorithm. by Arangba S (21656068)

Example gauge chart outputs produced by the M.E.D.V.I.S. algorithm. by Hector Torres (11708207)

Subjects:

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Data Sheet 1_A method for finding epistatic effects of maternal and fetal variants.docx by Michael Nodzenski (3714730)

“…</p>Methods<p>Previously, we proposed a method for case-parent studies, called the Genetic Algorithm for Detecting Genetic Epistasis using Triads or Siblings (GADGETS), that can reveal autosomal epistatic SNP-sets in the child’s genome. …”

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”

Cost of implementing different screening algorithm. by Tushar Garg (9283574)

Outcome of screening for different screening algorithm. by Tushar Garg (9283574)

Cost and cases diagnosed for each algorithm in different modelled scenarios. by Tushar Garg (9283574)

Cost-effectiveness plane for TB screening algorithms. by Tushar Garg (9283574)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

Incremental cost-effectiveness analysis for TB screening algorithms. by Tushar Garg (9283574)

Cost-effectiveness plane for TB screening algorithms including clinically-diagnosed cases. by Tushar Garg (9283574)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”