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Nazmul Haque

7 papers hereh-index 6103 citations45 works total

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

author position
  • first author1
  • middle author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV2
  • stat.AP2

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedDEEGITS: Deep Learning based Framework for Measuring Heterogenous Traffic State in Challenging Traffic Scenarios

1 citations · 1 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Neuro-Memory Fuzzy Inference System for Mimicking Human-like Car Following Behavior

Nazmul Haque, Md Asif Raihan. Md. Hadiuzzaman

This study presents the Neuro-Memory Fuzzy Inference System (NeMeFIS), a hierarchical machine learning architecture that asymmetrically models acceleration and deceleration in car…

cs.LG2025

Modeling Chaotic Pedestrian Behavior Using Chaos Indicators and Supervised Learning

Md. Muhtashim Shahrier, Nazmul Haque, Md Asif Raihan +1

As cities around the world aim to improve walkability and safety, understanding the irregular and unpredictable nature of pedestrian behavior has become increasingly important. Thi…

cs.LG2025

How does the Performance of the Data-driven Traffic Flow Forecasting Models deteriorate with Increasing Forecasting Horizon? An Extensive Approach Considering Statistical, Machine Learning and Deep Learning Models

Amanta Sherfenaz, Nazmul Haque, Protiva Sadhukhan Prova +2

With rapid urbanization in recent decades, traffic congestion has intensified due to increased movement of people and goods. As planning shifts from demand-based to supply-oriented…

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