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. …"

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

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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)

MSIPOA algorithm flow chart. حسب Chuang Zhang (2199421)

"…A levy flight strategy further improves the algorithm’s ability to jump out of local minima. In this paper, 12 benchmark test functions and 8 other newer swarm intelligence algorithms are compared in terms of convergence speed and convergence accuracy to evaluate the performance of the MSIPOA algorithm. …"

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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Overview of the Cell2Spatial algorithm. حسب Huamei Li (8815955)

Taming Negative Ion Resonances Using Nonlocal Exchange-Correlation Functionals حسب Abhisek Ghosal (762577)

"…The use of low-scaling algorithms simplifies the computation of the RPA potential, thereby providing a practical solution for resonance-state characterization within the density functional framework. …"

Python cv coding screenshots of all developed fingerprints on distinct surfaces. حسب Nisha Yadav (366131)

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Genetic algorithm meta-parameters. حسب Larasmoyo Nugroho (18078260)

"…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …"

The entity relationship of DDPG algorithm. حسب Larasmoyo Nugroho (18078260)

"…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …"

Main parameters of braking system. حسب Honglei Pang (22693724)

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EMB and SBW system structure. حسب Honglei Pang (22693724)

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Raw data. حسب Honglei Pang (22693724)

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Code program. حسب Honglei Pang (22693724)

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The HIL simulation data flowchart. حسب Honglei Pang (22693724)

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Steering system model. حسب Honglei Pang (22693724)

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Hyperparameter Configurations in PPO Training. حسب Honglei Pang (22693724)

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Main parameters of steering system. حسب Honglei Pang (22693724)

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Co-simulation architecture. حسب Honglei Pang (22693724)

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