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

F1 function and convergence curve graph. حسب Jiangli Yu (4601986)

Flowchart of system algorithm. حسب Syed Zahurul Islam (9635163)

3D SNMR kernel function of the Tx1–Tx4 transmit coils, with 1.6 As pulse moment. حسب Hanbo Chen (722038)

The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9. حسب Quynh-Anh Nguyen (847240)

"…Parameters <i>N</i>_<i>in</i> and <i>C</i>_<i>th</i> are chosen to yield SEM similar to those observed in the spike count data [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>, (Fig.3A in Ref)] and to yield the least-squares error of the experimental buildups (dashed, extracted from [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>, (Fig.4 in Ref)] and the computer-simulated neurometric functions (solid) for <i>DF</i> = 1, 3, 6, 9. …"

Core genes were selected through PPI analysis based on three algorithms. حسب Dong-Hee Han (140305)

"…<p>Among 46 DEGs whose expression significantly changed in A549 and BEAS-2B cell lines, the core genes were selected using three algorithms: MCC, MNC, and DEGREE. <b>(A)</b> The top 10 genes were prioritized using MCC analysis, which identifies the largest clique within the PPI network and selects the central proteins within the clique. …"

Experimental results of basic unimodal benchmark functions (<i>f</i>1−<i>f</i>7). حسب Jiahao Fan (11236401)

الموضوعات:

Algorithm comparison experiment on the RSOD dataset. حسب Pingping Yan (462509)

الموضوعات:

Summary of results of naïve Bayes algorithms. حسب Christopher E. Niemczak (8586861)

الموضوعات:

Experimental results of basic multi-modal benchmark functions (<i>f</i>8−<i>f</i>13). حسب Jiahao Fan (11236401)

الموضوعات:

Experimental results of CEC 2013 composition benchmark functions (<i>f</i>44−<i>f</i>51). حسب Jiahao Fan (11236401)

الموضوعات:

Effect of <i>|Δd</i>_<i>n</i><i>|</i> perturbation on 3D modeling. حسب Giacomo Janson (8138517)

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

الموضوعات:

A six-particle GPSA solving a one-dimensional MMO function with three global optima. حسب Yoshikazu Yamanaka (10325863)

Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

"…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"

Convergence process on CEC 2013 multi-modal benchmark functions (<i>f</i>29−<i>f</i>36). حسب Jiahao Fan (11236401)

الموضوعات:

Experimental results of CEC 2013 basic multimodal benchmark functions (<i>f</i>37−<i>f</i>43). حسب Jiahao Fan (11236401)

الموضوعات:

Experimental results of CEC 2013 basic multimodal benchmark functions (<i>f</i>29−<i>f</i>36). حسب Jiahao Fan (11236401)

الموضوعات:

Convergence process on CEC 2013 multi-modal benchmark functions (<i>f</i>37−<i>f</i>43). حسب Jiahao Fan (11236401)

الموضوعات:

3D SNMR kernel function of the Tx1–Tx4 transmit coils, with 6.5 As pulse moment. حسب Hanbo Chen (722038)