Comparison data 1 for <i>Neolamprologus multifasciatus</i>. حسب Nicolai Kraus (19949667)

الموضوعات:

Comparison data 7 for <i>Neolamprologus multifasciatus</i>. حسب Nicolai Kraus (19949667)

الموضوعات:

Comparison data 3 for <i>Neolamprologus multifasciatus</i>. حسب Nicolai Kraus (19949667)

الموضوعات:

Comparison data 2 for <i>Lamprologus ocellatus</i>. حسب Nicolai Kraus (19949667)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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. …"

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)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

الموضوعات: