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Md. Hadiuzzaman

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • stat.AP1
ORCID 0000-0002-5690-3351

identity via Semantic Scholar / OpenAlex

most citedDEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

stat.AP2025

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

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