Sifatul Mostafi

According to our database, Sifatul Mostafi authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Quantitative Analysis of Deep Learning-Based Object Detection Models.

Khalid Elgazzar, Sifatul Mostafi, Reed Dennis, Youssef Osman

IEEE Access, 2024

ASENet: A Deep Learning Approach to Predict Traffic Speed Compliance During Automated Speed Enforcement.

Sifatul Mostafi, Khalid Elgazzar, Frank Feng, Khalil Barakzai, Dillon Koolhaas

Proceedings of the IEEE International Conference on Smart Mobility, 2024

Assessing the Effectiveness of Automated Speed Enforcement in Durham Region, Ontario, Canada.

Sifatul Mostafi, Khalid Elgazzar, Frank Feng, Khalil Barakzai, Dillon Koolhaas

Proceedings of the IEEE International Conference on Smart Mobility, 2024

Interconnected Traffic Forecasting Using Time Distributed Encoder-Decoder Multivariate Multi-Step LSTM.

Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

A Novel Predictive Modelling Approach Towards a Spatiotemporal Traffic Safety Index.

Sifatul Mostafi, Asma Fariha, Mohamed El-Darieby, Khalid Elgazzar, Akramul Azim

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior.

Taghreed Alghamdi, Sifatul Mostafi, Ghadeer Abdelkader, Khalid Elgazzar

Future Internet, 2022

RegTraffic: A Regression based Traffic Simulator for Spatiotemporal Traffic Modeling, Simulation and Visualization.

Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar

Proceedings of the International Joint Conference on Neural Networks, 2022

Real-Time Jaywalking Detection and Notification System using Deep Learning and Multi-Object Tracking.

Sifatul Mostafi, Weimin Zhao, Sittichai Sukreep, Khalid Elgazzar, Akramul Azim

Proceedings of the IEEE Global Communications Conference, 2022

2021

A Bayesian Linear Regression Approach to Predict Traffic Congestion.

Sifatul Mostafi, Taghreed Alghamdi, Khalid Elgazzar

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Improving Spatiotemporal Traffic Prediction in Adversary Weather Conditions Using Hierarchical Bayesian State Space Modeling.

Taghreed Alghamdi, Khalid Elgazzar, Sifatul Mostafi, James Ng

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

An Open Source Tool to Extract Traffic Data from Google Maps: Limitations and Challenges.

Sifatul Mostafi, Khalid Elgazzar

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

2019

An Algorithm for Mapping a Traffic Domain Into a Complex Network: A Social Internet of Things Approach.

Sifatul Mostafi, Farzana Khan, Amitabha Chakrabarty, Doug Young Suh, Md. Jalil Piran

IEEE Access, 2019