Framework of the proposed signal control algorithm. حسب Hyosun Lee (1567246)

The algorithm for the same-day surgery protocol. حسب Magnus Tveit (11442200)

As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algorithm from [76]. حسب Daniela Huppenkothen (9174507)

Probability density of the cumulative number <i>C</i> of infections for different system sizes <i>N</i> at their critical vaccination doses with the random vaccination strategy as... حسب Yannick Feld (16520678)

الموضوعات:

Cleavage time as a function of scaled fiber diameter. حسب Roukayatou R. Ouedraogo (20460980)

Rate functions Φ(<i>C</i>) for the random vaccination heuristics for different system sizes <i>N</i> at their respective critical vaccination. حسب Yannick Feld (16520678)

الموضوعات:

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Affiliation function of unwinding tension deviation bias <i>e</i>. حسب Yanjun Xiao (1993411)

Affiliation function of polar slice correction bias <i>e</i>. حسب Yanjun Xiao (1993411)

Test functions. حسب Kejia Liu (5699651)

الموضوعات:

The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Single-peaked reference functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

AP improvement rates for various targets on the RSOD dataset. حسب Pingping Yan (462509)

الموضوعات:

Membership function of output for tank 1. حسب Tamiru Demelash Kassie (20678515)

Membership function of output for tank 2. حسب Tamiru Demelash Kassie (20678515)

Probability density functions of the cumulative fraction <i>C</i> of infections for <i>N</i> = 3200 for the different vaccination strategies. حسب Yannick Feld (16520678)

الموضوعات:

AP improvement rates for various targets on the NWPU VHR-10 dataset. حسب Pingping Yan (462509)

الموضوعات:

Probability density functions of the cumulative fraction <i>C</i> of infected nodes for <i>N</i> = 3200 for the different vaccination strategies. حسب Yannick Feld (16520678)

الموضوعات:

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Fixed-dimensional multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"