To address the challenges of false detection, insufficient feature representation, and limited real-time performance in image-based traffic police command gesture detection under different lighting conditions, this paper proposes a detection model named FDMB-YOLOv11 based on the YOLOv11n architecture. Firstly, the dete...
Xiaoyu Zhang, Baohua Guo, Sigama Anthony et al.· PLoS ONE· 0 citations
This work presents a deep-learning based approach for emergency vehicle detection and classification for various driving conditions. Conventional vision-based methods often struggle with poor lighting, motion blur, and occlusions caused by surrounding vehicles, leading to inaccurate detections that may eventually slo...
Petros Loukas, D. Bassir, A. Amanatiadis· International Journal of Adv...· 0 citations
A feature-based machine-learning framework with train–test leakage-controlled preprocessing to evaluate relative NH3 classification consistency across three datasets over China, finding that CAMS GEI provided the broadest spatial–temporal coverage, while MEIC showed comparatively stable classifier behavior.
A. Moshayedi, Babar Hussain Shah, Amir Sohail Khan et al.· Automation· 0 citations
How ML assisted strategies enhance analytical performance, including limit of detection, selectivity, dynamic range, stability, and response time, in electrochemical, optical, surface plasmon resonance, surface-enhanced Raman spectroscopy, fluorescence, piezoelectric, and field-effect transistor-based biosensors is exa...
D. Bassir, M. Awais, A. Moshayedi· MATEC Web of Conferences· 0 citations
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