Data for Figs 3–9. by Xiaogang Li (299205)

Subjects:

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

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

Experimental data for Figs 8, 11, 12 and 13. by Thanh Lam Tran (18125617)

“…The Newmark-β method with the integration of a variable time-step algorithm was used, allowing the system to be solved rapidly and accurately without compromising stability. …”

CatBoost algorithm structure to predict clinical outcome. by Andrew McDonald (2307400)

Subjects:

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

Source data for S6 Fig. by Sven B. Gould (12237287)

“…Hence, hundreds of studies make use of algorithms that predict a localisation based on a protein’s sequence. …”

Source data for S1 Fig. by Sven B. Gould (12237287)

“…Hence, hundreds of studies make use of algorithms that predict a localisation based on a protein’s sequence. …”

Source data for S8 Fig. by Sven B. Gould (12237287)

“…Hence, hundreds of studies make use of algorithms that predict a localisation based on a protein’s sequence. …”

Source data for S7 Fig. by Sven B. Gould (12237287)

“…Hence, hundreds of studies make use of algorithms that predict a localisation based on a protein’s sequence. …”

Source data for S4 Fig. by Sven B. Gould (12237287)

“…Hence, hundreds of studies make use of algorithms that predict a localisation based on a protein’s sequence. …”

Source data for S2 Fig. by Sven B. Gould (12237287)

“…Hence, hundreds of studies make use of algorithms that predict a localisation based on a protein’s sequence. …”

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

Raw performance data for the first algorithm shown in Fig 9. by Weilun Wang (21559389)

“…<p>Raw performance data for the first algorithm shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0328223#pone.0328223.g009" target="_blank">Fig 9</a>.…”

Raw performance data for the third algorithm shown in Fig 9. by Weilun Wang (21559389)

“…<p>Raw performance data for the third algorithm shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0328223#pone.0328223.g009" target="_blank">Fig 9</a>.…”

Raw performance data for the second algorithm shown in Fig 9. by Weilun Wang (21559389)

“…<p>Raw performance data for the second algorithm shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0328223#pone.0328223.g009" target="_blank">Fig 9</a>.…”

An example shows how XAI algorithm helps an expert to make a decision. by Shuvo Biswas (21728782)

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.…”