The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"

The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"

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)

Autocorrelation functions <i>C</i>(<i>r</i>, <i>t</i>) as functions of the rescaled distance <i>r</i>/<i>R</i>(<i>t</i>) for several time points, where <i>R</i>(<i>t</i>) is determ... حسب Marc Durand (556746)

Comparison of the performance of both models against 13 other models on the independent test dataset. حسب Aastha Vatsyayan (9981916)

Varietal predicted parameters under both water conditions per groups of varieties. حسب Maud Delattre (19106551)

Evolution of the rescaled hydraulic diameter () and complexity () in both simulations and seal tomograms as a function of simulation timestep and relative age (). حسب Jonathan E Kings (20818367)

Continuous Probability Distributions generated by the PIPE Algorithm حسب LUIS G.B. PINHO (14073372)

"…The PIPE algorithm can generate several candidate functions to fit the empirical distribution of data. …"

ABIDE dataset subject demographics. حسب Alexandria M. Jensen (6494957)

"…By incorporating notions of similarity between network community structures into a kernel distance function, the high-dimensional feature space of brain networks, defined on input pairs, can be generalized to non-linear spaces, allowing for a wider class of distance-based algorithms. …"

Showing the Quantum Mechanics-based Density Functional Theory optimisation of 3-1-BCMIYPPA where different energy levels are shown in different colours. حسب Mohammed Ali Alshehri (11707406)

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

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)

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

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

"…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …"

Proposed algorithm. حسب Keenjhar Ayoob (22339616)

Schematics for gmxapi operations. 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)

Flowchart of the study design, where we can see the camera acquisition, the expert observing the subjects, and the process till the final system outcome classification. حسب Jindřich Adolf (17334216)

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

The pseudocode for the NAFPSO algorithm. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"