Comparison of assembly results of three algorithms. حسب Guohua Cao (697580)

Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions. حسب Yang Cao (53545)

"…<p>Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art CEA-ES algorithms using CEC2014 functions.…"

Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100. حسب Yang Cao (53545)

"…<p>Wilcoxon’s test results for EBJADE algorithms and other algorithms using CEC2014 functions for D = 30, 50 and 100.…"

Pseudo-code of DMDDPG algorithm. حسب Guohua Cao (697580)

"…The simulation results indicate that the proposed algorithm, which models the first three joints and the last three joints of the robotic arm as multi-agents, demonstrates not only enhanced adaptability but also faster and more stable convergence.…"

Dynamical comparison between Drosha and Dicer reveals functional motion similarities and dissimilarities حسب Rotem Aharoni (8108177)

"…Dynamical comparison is performed using global and local dynamic programming algorithms for aligning modes of motion. …"

Fitness function curve at weight factor 0.3. حسب Dhulfiqar Hakeem Dhayef (17729684)

"…Therefore, it has been widely solved using effective meta-heuristics. The paper introduces a novel meta-heuristic strategy that utilizes the Genetic Algorithm (GA) and the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) to identify the most favorable solution for both flexible CF and machine layout within each cell. …"

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

الموضوعات:

Principal component analysis applied to both datasets. حسب Anny K. G. Rodrigues (11689849)

الموضوعات:

Performance profile of the four algorithms based on the function value of iteration number. حسب Sulaiman M. Ibrahim (20614376)

Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx حسب Takatsugu Aihara (4433524)

"…Diffuse optical tomography (DOT), a method of neuroimaging using functional near-infrared spectroscopy (fNIRS) to reconstruct three-dimensional brain activity images, offers a non-invasive alternative, because fNIRS as well as fMRI measures changes in deoxygenated hemoglobin concentrations and, in addition, fNIRS is free of above disadvantages. …"

The optimal solution set of NYN by using different algorithms. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

The optimal solution set of HN by using different algorithms. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Flowchart of weighting using the AHP method. حسب Nada Ahmed Ezz-Eldien (17396553)

"…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …"

Flowchart of weighting using the entropy method. حسب Nada Ahmed Ezz-Eldien (17396553)

"…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …"

Curves of three activation functions. حسب Zhongzhong Guo (12133402)

الموضوعات:

Genetic algorithm process of this paper. حسب Jiajie Liu (4560088)

Empirical cumulative distribution function of RMSE for three sources. حسب Nauman Ahmed (8086868)

Time spent on image denoising using different algorithms. حسب Bingbing Li (461702)

الموضوعات:

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. حسب Hiroyuki Ichijo (13891153)

الموضوعات:

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب Sebastian Goldt (14522594)

"…Lines depict the result of the state evolution, while crosses denote the performance of the AMP algorithm on an instance of the problem. While AMP performs the same starting from both initialisations for <i>ρ</i> = 0.1 and <i>ρ</i> = 0.3, there is a gap in performance for <i>ρ</i> = 0.05, which might hint at the existence of a hard phase (see main text). …"