activity
20182022
most citedLearning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems

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

collaborators

5 papers

cs.AI2022★ 1 cited

Designing Decision Support Systems for Emergency Response: Challenges and Opportunities

Geoffrey Pettet, Hunter Baxter, Sayyed Mohsen Vazirizade +4

Designing effective emergency response management (ERM) systems to respond to incidents such as road accidents is a major problem faced by communities. In addition to responding to…

cs.LG2021

Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services

Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade +3

Emergency response is highly dependent on the time of incident reporting. Unfortunately, the traditional approach to receiving incident reports (e.g., calling 911 in the USA) has t…

cs.LG2021★ 3 cited

Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems

Sayyed Mohsen Vazirizade, Ayan Mukhopadhyay, Geoffrey Pettet +3

Principled decision making in emergency response management necessitates the use of statistical models that predict the spatial-temporal likelihood of incident occurrence. These st…

cs.AI2020

A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management

Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Vazirizade +7

In the last fifty years, researchers have developed statistical, data-driven, analytical, and algorithmic approaches for designing and improving emergency response management (ERM)…

eess.SP2018★ 1 cited

Structural Damage Detection Using Ensemble Empirical Mode Decomposition, Hilbert Transform and Artificial Neural Networks

Sayyed Mohsen Vazirizade, Ali Bakhshi, Omid Bahar

Civil structures are on the verge of changing which leads energy dissipation capacity to decline. Structural Health Monitoring (SHM) as a process in order to implement a damage det…