An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

"…<p><i>(a)</i> Noninvadable states by definition can only exist in the region Ω of resource space where the growth rate <i>dN</i>_<i>i</i>/<i>dt</i> of each species <i>i</i> is zero or negative. …"

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

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

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:

Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

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)

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... حسب Hassan Mehboob (8960273)

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:

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. …"