Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Abdeltawab M. Hendawi"'
Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems
Autor:
George J. Pappas, Lynn Pepin, Fei Miao, Abdeltawab M. Hendawi, Mohamed E. Khalefa, Shuo Han, John A. Stankovic, Sihong He
Publikováno v:
ACM Transactions on Cyber-Physical Systems. 5:1-27
With the transformation to smarter cities and the development of technologies, a large amount of data is collected from sensors in real time. Services provided by ride-sharing systems such as taxis, mobility-on-demand autonomous vehicles, and bike sh
Publikováno v:
Future Generation Computer Systems. 111:714-722
Heart disease is one of the first causes of death worldwide. This paper presents a real-time system for predicting heart disease from medical data streams that describe a patient’s current health status. The main goal of the proposed system is to f
Autor:
Mohammed Abdalla, Mohamed Ali, John Krumm, Neveen ElGamal, Hoda M. O. Mokhtar, Abdeltawab M. Hendawi
Publikováno v:
IEEE Access, Vol 8, Pp 23881-23894 (2020)
Trajectory prediction techniques play a serious role in many location-based services such as mobile advertising, carpooling, taxi services, traffic management, and routing services. These techniques rely on the object’s motion history to predict th
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 767, p 767 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 11
ISPRS International Journal of Geo-Information
Volume 10
Issue 11
Taxicabs and rideshare cars nowadays are equipped with GPS devices that enable capturing a large volume of traces. These GPS traces represent the moving behavior of the car drivers. Indeed, the real-time discovery of fraud drivers earlier is a demand
Publikováno v:
SMARTCOMP
With the rapid development of the Internet of Things (IoT), there are billions of interacting devices and applications. With so many devices and applications, one of the most critical challenges is how to provide security. Traditional software-based
Publikováno v:
GECCO Companion
The capacitated vehicle routing problem (CVRP) is an NP-hard optimization problem with many applications. Genetic algorithms (GAs) are often used to solve CVRPs but require many parameters and operators to tune. Incorrect settings can result in poor
Autor:
Mohsin Y. Ahmed, Meiyi Ma, John A. Stankovic, Abdeltawab M. Hendawi, William Tärneberg, Sarah Masud Preum
Publikováno v:
ACM Transactions on Cyber-Physical Systems. 4:1-28
Cities are deploying tens of thousands of sensors and actuators and developing a large array of smart services. The smart services use sophisticated models and decision-making policies supported by Cyber Physical Systems and Internet of Things techno
Autor:
Shaker El-Sappagh, Jiayi Liu, Abdeltawab M. Hendawi, Mohamed Ali, Naveen Ramakrishnan, Jayant Gupta, Ankur Teredesai, Kyung Sup Kwak, Mohak Shah
Publikováno v:
The Journal of Supercomputing. 75:8207-8230
In the current era of the Internet of Things (IoT), massive number of sensors are used in our daily lives. Sensors are everywhere around us. They exist in our homes, work places, streets, cars, and even ourselves. Examples include home appliances, we
Autor:
John A. Stankovic, Shan Lin, Qian Wang, George J. Pappas, Shuo Han, Fei Miao, Abdeltawab M. Hendawi, Tian He, Desheng Zhang
Publikováno v:
IEEE Transactions on Control Systems Technology. 27:175-191
In modern taxi networks, large amounts of taxi occupancy status and location data are collected from networked in-vehicle sensors in real-time. They provide knowledge of system models on passenger demand and mobility patterns for efficient taxi dispa
Autor:
Fares Tabet, Mohamed Ali, Sikha Pentyala, Harsh Govind, Peiwei Cao, Ashley Song, Abdeltawab M. Hendawi, Birva H. Patel
Publikováno v:
MDM
Routing engines and navigation services are among the top applications that take advantage of the OpenStreetMap (OSM) collaborative project. With that said, it is key for the underlying road network data provided by the OSM public geographic datasets