Comparison data 2 for <i>Neolamprologus multifasciatus</i>. حسب Nicolai Kraus (19949667)

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Comparison data 5 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

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Distance matrix from pairwise comparisons of behavior sequences of the two cichlid species <i>Neolamprologus multifasciatus</i> and <i>Lamprologus ocellatus</i> (S4–S17 Datasets),... حسب Nicolai Kraus (19949667)

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Workflow visualization of the application, illustrating the required steps and exportable outputs. حسب Nicolai Kraus (19949667)

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Comparison data 6 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

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Comparison data 5 for <i>Neolamprologus multifasciatus</i>. حسب Nicolai Kraus (19949667)

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The relevant code used in this study. حسب Jiaxin Jiang (10656134)

The flowchart of GWO-VMD method. حسب Zhenjing Yao (22189970)

"…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …"

Experiments comparing MGFOA with alternative competing algorithms on the IEEE CEC 2017 benchmark functions. حسب Yang Gao (18005)

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Experiments comparing MGFOA with alternative competing algorithms at IEEE CEC 2022 benchmark functions. حسب Yang Gao (18005)

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Hybrid bio-inspired feature selection. حسب Saad Hammood Mohammed (20623506)

الموضوعات: "…inspired optimization algorithms…"

Feature Selection Parameters for GWO-PSO. حسب Saad Hammood Mohammed (20623506)

الموضوعات: "…inspired optimization algorithms…"

The AI Code War Apple ChatGPT and the Hidden Battle for Sovereignty.pdf حسب Minehli Arakelians Gheshlagh (21983870)

Training results under different parameters. حسب Yang Zhang (30734)

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IoU measures the overlap between predicted bounding boxes and ground truth boxes. حسب Yang Zhang (30734)

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The patchwise contrastive learning method based on PatchNCE loss. حسب Yang Zhang (30734)

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The network framework of the proposed model. حسب Yang Zhang (30734)

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The confusion matrix of our model in the hazed COCO2017 dataset. حسب Yang Zhang (30734)

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The efficient multi-scale attention. حسب Yang Zhang (30734)

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The improved network diagram of YOLOv9s. حسب Yang Zhang (30734)

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