Performance results of YOLO v10 versions on arson dataset. by Ali Abbas Abbod (22386097)

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Pairwise T-test results comparing the proposed GWO-BBOA with PSO, GWO, and BBOA. by Ali Abbas Abbod (22386097)

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Parameters selected. by Ali Abbas Abbod (22386097)

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Pedal Scent Marking and Sniffing Behaviors of Brown-Bears, (a) Pedal Marks in an Area. by Ali Abbas Abbod (22386097)

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Performance results of YOLOv10s using different optimization algorithms on the arson detection dataset. by Ali Abbas Abbod (22386097)

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Performance results of the YOLOv10s model on the Arson Detection Dataset. by Ali Abbas Abbod (22386097)

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Visualized results for a single arson scene, showing (A) the original image, (B) YOLO v10 bounding‑box, and (C) Grad‑CAM heatmap overlay. by Ali Abbas Abbod (22386097)

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Visual comparison of YOLOv10 arson detection results. by Ali Abbas Abbod (22386097)

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Description and recommended ranges of key YOLO hyperparameters. by Ali Abbas Abbod (22386097)

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Pseudocode of the proposed Hybrid GWO-BBOA algorithm. by Ali Abbas Abbod (22386097)

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Presents a comparison between our study, Abbod et al. and Singh et al. by Ali Abbas Abbod (22386097)

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A flowchart for methodology. by Ali Abbas Abbod (22386097)

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GWO Strategy [36]. by Ali Abbas Abbod (22386097)

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Architecture of YOLOv10 [24]. by Ali Abbas Abbod (22386097)

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The Flowchart of the Hybrid GWO-BBOA Optimization Process. by Ali Abbas Abbod (22386097)

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Evolution of training losses and evaluation metrics (precision, recall, mAP@0.5, mAP@0.5:0.95) over 100 epochs. by Ali Abbas Abbod (22386097)

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