TV-BayesOpt algorithm performance for tracking a superimposed (gradual and periodic) drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. حسب John E. Fleming (8533956)

Genetic algorithms can be applied to higher-dimensional design problems. حسب Lu Hong (399882)

Highly interrelated genes and their biological functions among 21 cancers. حسب Qunlun Shen (11668968)

Inverse Design of Tetracene Polymorphs with Enhanced Singlet Fission Performance by Property-Based Genetic Algorithm Optimization حسب Rithwik Tom (6421487)

الموضوعات:

Trajectory comparison for system 1: (A) starting point within collection range; (B) starting point outside collection range. حسب Jingnan Yan (20727331)

الموضوعات:

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…For the early-stage diabetes dataset, LGWO-BP achieved an accuracy of 0.92, a recall of 0.93, a precision of 0.88, an F1-score of 0.91, and an AUC of 0.95. 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. …"

Heatmap results from the global sensitivity analysis for the generation of villous vessels within a placentone. حسب Diana C. de Oliveira (9220729)

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic حسب NELSON L. DIAS (8078003)

"…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …"

Sensitivity analysis of ASMC <i>σ</i> parameter. حسب Haoran Cui (7235234)

الموضوعات:

Image 4_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regre... حسب Jun Gao (203098)

"…Objective<p>Investigate the correlation between right ventricular function ultrasound indicators and the Venous Excess Ultrasound (VExUS) grading system in patients undergoing invasive mechanical ventilation (IMV), and develop a right ventricular function assessment model using VExUS grading and the Classification and Regression Tree (CART) algorithm.…"

Image 3_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regre... حسب Jun Gao (203098)

"…Objective<p>Investigate the correlation between right ventricular function ultrasound indicators and the Venous Excess Ultrasound (VExUS) grading system in patients undergoing invasive mechanical ventilation (IMV), and develop a right ventricular function assessment model using VExUS grading and the Classification and Regression Tree (CART) algorithm.…"

Image 2_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regre... حسب Jun Gao (203098)

"…Objective<p>Investigate the correlation between right ventricular function ultrasound indicators and the Venous Excess Ultrasound (VExUS) grading system in patients undergoing invasive mechanical ventilation (IMV), and develop a right ventricular function assessment model using VExUS grading and the Classification and Regression Tree (CART) algorithm.…"

System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction حسب Yisheng Huang (152457)

"…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …"

Success maps of the four algorithms. حسب Ye Lin (613248)

Algorithm for generating virtual patients. حسب Adrianne L. Jenner (11133854)

"…<b>2)</b> The model evaluated is then simulated on this parameter set to obtain <i>y</i>(<i>t</i>, <i>p</i>). <b>3)</b> A simulated annealing algorithm is then used to determine a parameter set that optimises the objective function <i>J</i>(<i>p</i>) (<a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1009753#ppat.1009753.e059" target="_blank">Eq 17</a>). …"

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

Trajectory comparison for system 3: (A) starting point within collection range; (B) starting point outside collection range. حسب Jingnan Yan (20727331)

الموضوعات:

Trajectory comparison for system 2: (A) starting point within collection range; (B) starting point outside collection range. حسب Jingnan Yan (20727331)

الموضوعات:

Effectiveness of evolutionary GA search (mutations only) with (<i>μ</i>, <i>λ</i>) selection, <i>μ</i>/<i>λ</i> = 0.4, 4 domains, 6+4 defined positions out of 26, W = 220 at varyin... حسب Alexander V. Spirov (11302085)

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... حسب Ziyan Jin (21021976)