Results of DBHC clustering.

<div><p>Perimeter Intrusion Detection Systems (PIDS) are crucial for protecting any physical locations by detecting and responding to intrusions around its perimeter. Despite the availability of several PIDS, challenges remain in detection accuracy and precise activity classification. To...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shahneela Pitafi (20454775) (author)
مؤلفون آخرون:	Toni Anwar (19999011) (author), I Dewa Made Widia (20454778) (author), Zubair Sharif (17767086) (author), Boonsit Yimwadsana (614577) (author)
منشور في:	2024
الموضوعات:	Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified produce similar results precise activity classification manhattan distance formula human activity recognition comparative techniques failed art techniques found based spatial clustering traditional dbscan algorithm proposed model achieved proposed model subsequent clustering model utilizes varying densities trained inceptionv3 societal security silhouette score research enhances research contributes physical locations minimal points intrusions around handling high future researchers feature extraction existing density epsilon values enhanced dbscan dimensionality reduction dimensional data determined using detection accuracy analysis reveals
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Results of DBHC clustering.

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