Connectivity characteristics (distance, orientation, and region) of the stable low-|Δθ|, stable high-|Δθ|, and shifting-|Δθ| networks. حسب Melisa Menceloglu (7610213)

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Differences in Immune Signatures Between High and Low-Risk Groups. حسب Jie Chu (293795)

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Average fitness and standard deviation of each algorithm across the seven engineering design problems. <i>Ave</i> indicates average fitness, <i>Std</i> indicates standard deviation... حسب Junhao Wei (6816803)

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datasheet1_Design of Genetic Programming Control Algorithm for Low-Temperature PEM Fuel Cell.zip حسب Abdel Gafoor Haddad (9988499)

Inter-site temporal power correlations (top row), average powers (middle row), and inter-site-pair correlations between inter-site power correlation and average power (bottom row)... حسب Melisa Menceloglu (7610213)

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Show parameter <i>N</i>_<i>x</i> for different topologies. حسب Maryam Shadi (14237349)

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GSEA Analysis of Differentially Expressed Genes in High and Low-Risk Groups. حسب Jie Chu (293795)

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GSVA analysis of differentially expressed genes in high and low risk groups. حسب Jie Chu (293795)

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Algorithm parameter settings. حسب Tao Dong (15551)

"…The results revealed that the improved multi-objective differential evolution algorithm in Zitzler-Deb-Thiele 1 function test had generational distance of 0.0513, inverted generational distance of 0.3265, and hyper volume metric of 0.1301. …"

Effectiveness of RWOA and other SOTA algorithms. حسب Junhao Wei (6816803)

"…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …"

Comparison of step size 0.1 with the actual energy consumption step count. حسب Zhiqun Lin (1429501)

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Expression and functional analysis of MRGs. حسب Xuefen Lin (17785367)

GO/KEGG Enrichment Analysis of Differentially Expressed Genes in High and Low-Risk Groups. حسب Jie Chu (293795)

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Predictive functions. حسب Niccolo Pescetelli (7000043)

S1 Data - حسب Guangwei Liu (181992)

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Adaptive nonlinear gain function <i>g</i>(.) versus the sample differenced error Δ<i>e</i>_<i>k</i>. حسب Saleem Riaz (14445573)

Loss Function Comparison. حسب Hongwei Yue (574068)

Loss Function Comparison. حسب Hongwei Yue (574068)

Table_1_Optimizing functional near-infrared spectroscopy (fNIRS) channels for schizophrenic identification during a verbal fluency task using metaheuristic algorithms.XLSX حسب Dong Xia (54339)

"…Three features frequently used in the analysis of fNIRS signals, namely time average, functional connectivity, and wavelet, were extracted and optimized using various metaheuristic operators, i.e., genetic algorithm (GA), particle swarm optimization (PSO), and their parallel and serial hybrid algorithms. …"

Comparison curve of objective function (). حسب Wanjun Zhang (496858)