most citedAn Intent-based Framework for Vehicular Edge Computing

12 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY20232 cited

Enabling Spatial Digital Twins: Technologies, Challenges, and Future Research Directions

Mohammed Eunus Ali, Muhammad Aamir Cheema, Tanzima Hashem +2

A Digital Twin (DT) is a virtual replica of a physical object or system, created to monitor, analyze, and optimize its behavior and characteristics. A Spatial Digital Twin (SDT) is…

cs.AI20235 cited

Tracking Progress in Multi-Agent Path Finding

Bojie Shen, Zhe Chen, Muhammad Aamir Cheema +2

Multi-Agent Path Finding (MAPF) is an important core problem for many new and emerging industrial applications. Many works appear on this topic each year, and a large number of sub…

cs.DB2023

Contact Tracing over Uncertain Indoor Positioning Data (Extended Version)

Tiantian Liu, Huan Li, Hua Lu +2

Pandemics often cause dramatic losses of human lives and impact our societies in many aspects such as public health, tourism, and economy. To contain the spread of an epidemic like…

cs.NI202312 cited

An Intent-based Framework for Vehicular Edge Computing

TianZhang He, Adel N. Toosi, Negin Akbari +2

The rapid development of emerging vehicular edge computing (VEC) brings new opportunities and challenges for dynamic resource management. The increasing number of edge data centers…

cs.CG20223 cited

Multi-Target Search in Euclidean Space with Ray Shooting (Full Version)

Ryan Hechenberger, Daniel Harabor, Muhammad Aamir Cheema +2

The Euclidean shortest path problem (ESPP) is a well studied problem with many practical applications. Recently a new efficient online approach to this problem, RayScan, has been d…