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Author

M. Paslavskyi

2 papers indexed here

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Open access Aug 2026

Enhanced Crowd Counting Using Patch-Level Annotation with YOLO Deep Learning

A new crowd counting framework is proposed based on patch-level annotation and YOLO (You Only Look Once) deep learning architecture to improve detection performance and real-time processing capability and surpasses state-of-the-art approaches in accuracy, robustness, and computational efficiency.

Saw Mya Nandar, Hlaing Htake Khaung Tin, Bhopendra Singh et al. · 0 citations
Open access Aug 2026

Hyper-Distributed Edge Cloud Architecture with 10 Tbps Gateways and Multi-Regional Nodes

Syria’s digital reconstruction offers a unique opportunity to deploy a next-generation distributed computing infrastructure that leverages three strategic international gateways (IGWs): a submarine cable from Cyprus to Tartus (10 Tbps), a terrestrial link from Jordan to Damascus (10 Tbps), and a terrestrial link from T...

Jouma Ali Al-Mohamad, M. Paslavskyi, Julio Suárez Albanchez et al. · 0 citations

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