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
Accurate monitoring of atmospheric ammonia (NH3) is important for air-quality assessment and sustainable agriculture, but available datasets differ in spatial resolution, temporal coverage, units, and physical meaning. This study presents a feature-based machine-learning framework with train–test leakage-controlled pre...
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
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.