1 citations · 1 across the 3 of their papers we have counts for
3 papers
Trajectory-based real-time pedestrian crash prediction at intersections: A novel non-linear link function for block maxima led Bayesian GEV framework addressing heterogeneous traffic condition
Parvez Anowar, Nazmul Haque, Md Asif Raihan +1
This study develops a real-time framework for estimating pedestrian crash risk at signalized intersections under heterogeneous, non-lane-based traffic. Existing approaches often as…
DEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios
Muttahirul Islam, Nazmul Haque, Md. Hadiuzzaman
This paper presents DEEGITS (Deep Learning Based Heterogeneous Traffic State Measurement), a comprehensive framework that leverages state-of-the-art convolutional neural network (C…
BAUST Lipi: A BdSL Dataset with Deep Learning Based Bangla Sign Language Recognition
Md Hadiuzzaman, Mohammed Sowket Ali, Tamanna Sultana +3
People commonly communicate in English, Arabic, and Bengali spoken languages through various mediums. However, deaf and hard-of-hearing individuals primarily use body language and…