4 citations · 4 across the 5 of their papers we have counts for
6 papers
LLM-QUBO: An End-to-End Framework for Automated QUBO Transformation from Natural Language Problem Descriptions
Huixiang Zhang, Mahzabeen Emu, Salimur Choudhury
Quantum annealing offers a promising paradigm for solving NP-hard combinatorial optimization problems, but its practical application is severely hindered by two challenges: the com…
Validating Optimal COVID-19 Vaccine Distribution Models
Mahzabeen Emu, Dhivya Chandrasekaran, Vijay Mago +1
With the approval of vaccines for the coronavirus disease by many countries worldwide, most developed nations have begun, and developing nations are gearing up for the vaccination…
Utilizing Deep Learning to Identify Drug Use on Twitter Data
Joseph Tassone, Peizhi Yan, Mackenzie Simpson +3
The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of collected Tw…
Algorithms for Optimizing Fleet Scheduling of Air Ambulances
Joseph Tassone, Salimur Choudhury
Proper scheduling of air assets can be the difference between life and death for a patient. While poor scheduling can be incredibly problematic during hospital transfers, it can be…
Algorithms for Optimizing Fleet Staging of Air Ambulances
Joseph Tassone, Geoffrey Pond, Salimur Choudhury
In a disaster situation, air ambulance rapid response will often be the determining factor in patient survival. Obstacles intensify this circumstance, with geographical remoteness…
A Comprehensive Survey on the Ambulance Routing and Location Problems
Joseph Tassone, Salimur Choudhury
In this research, an extensive literature review was performed on the recent developments of the ambulance routing problem (ARP) and ambulance location problem (ALP). Both are resp…