Critical values of membership functions learned from the study cohort by the algorithm. حسب Yufeng Zhang (195768)

Proposed algorithm. حسب Keenjhar Ayoob (22339616)

The decomposition diagram of the large kernel convolution, where the blue grid represents the convolution kernel and the green grid represents the center point. حسب Xunqian Xu (21261899)

Schematics for gmxapi operations. حسب M. Eric Irrgang (4487278)

gmxapi usage examples. حسب M. Eric Irrgang (4487278)

Comparison of runtime of our DGPSA and existing one-stage methods, where **** indicates significantly difference between the runtime of our DGPSA and that of the compered method wi... حسب Yoshikazu Yamanaka (10325863)

Mapping indices: WheresWalker SNP index, Het^wt, and homozygosity values for zebrafish and maize datasets. حسب McKenna Feltes (11242085)

Parselmouth for bioacoustics: automated acoustic analysis in Python حسب Yannick Jadoul (11498813)

"…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …"

Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX حسب Mohammad Dashtkoohi (15417886)

libEnsemble: New capabilities for coordinating dynamic ensembles of calculations حسب John-Luke Navarro (9024008)

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)

PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

"…<p dir="ltr">The first algorithm for segmentation and localization (see PathOlOgics_script_1; segment & localize using a pen) relied on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing source images/patches. …"

Simulation results for average reward rate function using the UCB algorithm , where <i>A</i> = 100, <i>ℓ</i> = 20, <i>μ</i> = [0.75, …(×50), 0.5, …(×50)], and <i>T</i> = 1000, and . حسب Justin Zobel (241587)

"…<p>Simulation results for average reward rate function using the UCB algorithm , where <i>A</i> = 100, <i>ℓ</i> = 20, <i>μ</i> = [0.75, …(×50), 0.5, …(×50)], and <i>T</i> = 1000, and .…"

FPS values of different methods on the three datasets, where red represents the COCO dataset, yellow represents the MPII dataset, and green represents the HP dataset. حسب Xunqian Xu (21261899)

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …"

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). حسب Moshe Rubanov (7289156)

"…<b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …"

Algorithm parameter setting. حسب Tianrui Zhang (2294542)

"…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…"

Algorithm parameter setting. حسب Tianrui Zhang (2294542)

"…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…"

Benchmark functions. حسب Peiwen Zhang (1863202)

Membership function of each target. حسب Tianrui Zhang (2294542)

"…Experimental results show that the PSCACO algorithm proposed in this paper is compared with MOPSO, CACO and NSGA-II algorithms, and the convergence effect of the algorithm is concluded to be more effective to verify the effectiveness and feasibility of chaotic particle ant colony algorithm for solving multi-objective functions, which proposes a new feasible solution for the supply chain management.…"