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Author

Young-Im Cho

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Open access Sep 2026

AH-YOLOFlow: Vision-Based Pedestrian Flow Analytics for Smart Urban Crosswalk Performance Monitoring

Proper management of pedestrian flow at urban crosswalks is crucial for alleviating congestion, reducing waiting times, and improving general traffic safety. This paper presents AH-YOLOFlow, a computer vision framework for pedestrian detection, multi-object tracking, and zone-based flow analytics at urban crosswalks. T...

Farkhod Akhmedov, D. Khasanov, Sarvar Yusupov et al. · 1 citation
#edge computing Open access Sep 2026

Fusion of MLP, XGBoost, and QAT-Optimized PointNet++ for Predicting Short-Term Dendrometer-Derived Stem Dynamics: An Edge-Oriented Computational Framework

A fusion-based artificial intelligence framework that integrates Quantization-Aware Training (QAT)-optimized PointNet++ models with machine-learning regression to predict a short-term dendrometer-derived stem-diameter response expressed in biomass-equivalent units is proposed.

Furkat Bolikulov, K. Zohirov, Gayrat Mannonov et al. · 0 citations

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