Locating sensor nodes on construction projects. - Francois Caron; Saiedeh Navabzadeh Razavi; Jongchul Song; Philippe Vanheeghe; Emmanuel Duflos; Carlos H. Caldas; Carl T. Haas (Auton. Robots, 2007)

Real world implementation of belief function theory to detect dislocation of materials in construction. - Saiedeh Navabzadeh Razavi; Carl T. Haas; Philippe Vanheeghe; Emmanuel Duflos (FUSION, 2009)

Dislocation detection in field environments: A belief functions contribution. - Saiedeh Navabzadeh Razavi; Emmanuel Duflos; Carl T. Haas; Philippe Vanheeghe (Expert Syst. Appl., 2012)

Reliability-Based Hybrid Data Fusion Method for Adaptive Location Estimation in Construction. - Saiedeh N. Razavi; Carl T. Haas (J. Comput. Civ. Eng., 2012)

Multisensor data fusion: A review of the state-of-the-art. - Bahador Khaleghi; Alaa M. Khamis; Fakhreddine Karray; Saiedeh N. Razavi (Inf. Fusion, 2013)

Corrigendum to 'Multisensor data fusion: A review of the state-of-the-art' [Information Fusion 14 (1) (2013) 28-44]. - Bahador Khaleghi; Alaa M. Khamis; Fakhreddine Karray; Saiedeh N. Razavi (Inf. Fusion, 2013)

Battery characterization and state-of-charge prediction for different journey conditions with the help of the "journey mapping" concept. - Kavya Prabha Divakarla; Shamsuddeen Nalakath; Martin Drennan; Ryan M. Ahmed; Ali Emadi; Saiedeh N. Razavi (IECON, 2015)

Using a Deep Reinforcement Learning Agent for Traffic Signal Control. - Wade Genders; Saiedeh N. Razavi (CoRR, 2016)

Impact of Connected Vehicle on Work Zone Network Safety through Dynamic Route Guidance. - Wade Genders; Saiedeh N. Razavi (J. Comput. Civ. Eng., 2016)

Low False Alarm Rate Model for Unsafe-Proximity Detection in Construction. - Jun Wang; Saiedeh N. Razavi (J. Comput. Civ. Eng., 2016)

Two 4D Models Effective in Reducing False Alarms for Struck-by-Equipment Hazard Prevention. - Jun Wang; Saiedeh N. Razavi (J. Comput. Civ. Eng., 2016)

Assessing the Potential Impacts of Connected Vehicles: Mobility, Environmental, and Safety Perspectives. - Arash Olia; Hossam Abdelgawad; Baher Abdulhai; Saiedeh N. Razavi (J. Intell. Transp. Syst., 2016)

Optimizing the number and locations of freeway roadside equipment units for travel time estimation in a connected vehicle environment. - Arash Olia; Hossam Abdelgawad; Baher Abdulhai; Saiedeh N. Razavi (J. Intell. Transp. Syst., 2017)

Evaluating reinforcement learning state representations for adaptive traffic signal control. - Wade Genders; Saiedeh N. Razavi (ANT/SEIT, 2018)

Fault-Tolerant Variable Speed Limit Control for Freeway Work Zone. - Shuming Du; Saiedeh N. Razavi (EG-ICE, 2018)

Spatiotemporal Network-Based Model for Dynamic Risk Analysis on Struck-by-Equipment Hazard. - Jun Wang; Saiedeh N. Razavi (J. Comput. Civ. Eng., 2018)

Traffic capacity implications of automated vehicles mixed with regular vehicles. - Arash Olia; Saiedeh N. Razavi; Baher Abdulhai; Hossam Abdelgawad (J. Intell. Transp. Syst., 2018)

An Open-Source Framework for Adaptive Traffic Signal Control. - Wade Genders; Saiedeh Navabzadeh Razavi (CoRR, 2019)

Variable Speed Limit for Freeway Work Zone with Capacity Drop Using Discrete-Time Sliding Mode Control. - Shuming Du; Saiedeh N. Razavi (J. Comput. Civ. Eng., 2019)

Asynchronous n-step Q-learning adaptive traffic signal control. - Wade Genders; Saiedeh N. Razavi (J. Intell. Transp. Syst., 2019)

Fault-tolerant control of variable speed limits for freeway work zone using likelihood estimation. - Shuming Du; Saiedeh N. Razavi (Adv. Eng. Informatics, 2020)

Policy Analysis of Adaptive Traffic Signal Control Using Reinforcement Learning. - Wade Genders; Saiedeh N. Razavi (J. Comput. Civ. Eng., 2020)

Deep Learning-Driven Edge Video Analytics: A Survey. - Renjie Xu; Saiedeh N. Razavi; Rong Zheng 001 (CoRR, 2022)

Fault-Tolerant Control of Variable Speed Limits for Freeway Work Zone With Recurrent Sensor Faults. - Shuming Du; Saiedeh N. Razavi (IEEE Trans. Intell. Transp. Syst., 2022)

Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques. - Renjie Xu; Saiedeh N. Razavi; Rong Zheng 001 (IEEE Commun. Surv. Tutorials, 2023)

Cycle Maximum Queue Length Estimation: An Integrated Deep Learning and Adaptive Neuro-Fuzzy Inference System Framework. - Yuhang Gu; Saiedeh N. Razavi; Saeid Habibi (IEEE Access, 2024)