AlexNet confusion matrix.

<div><p>Recognition of Human Actions (HAR) Portrays a crucial significance in various applications due to its ability for analyzing behaviour of humans within videos. This research investigates HAR in Red, Green, and Blue, or RGB videos using frameworks for deep learning. The model’s ens...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shazab Bashir (21175566) (author)
مؤلفون آخرون:	Arfan Jaffar (19105558) (author), Muhammad Rashid (2836613) (author), Sheeraz Akram (17251060) (author), Sohail Masood Bhatti (19105561) (author)
منشور في:	2025
الموضوعات:	Neuroscience Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified various applications due reliable final classification often using voting new gold standard ensembles method merges contesting hmdb51 dataset cohen &# 8217 xlink "> recognition model independently predicts model &# 8217 improve patient care ensemble method integrates research investigates har humans within videos diverse human actions astounding aggregate accuracy enhanced performance recognition recognizing human activities human actions ensemble model intelligent recognition improve accuracy advance human ensemble framework two models system aims powerful tool inceptionv3 google highly effective har tasks findings suggest every class enhance security deep learning crucial significance approach leverages analyzing behaviour 17 %.
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AlexNet confusion matrix.

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