Sherif Rashad

According to our database, Sherif Rashad authored at least 18 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Machine Learning Based Pedestrian Detection and Tracking for Autonomous Vehicles.

Tyler Ward, Sherif Rashad, Heba Elgazzar

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022

LeapASL: A platform for design and implementation of real time algorithms for translation of American Sign Language using personal supervised machine learning models.

Jon Jenkins, Sherif Rashad

Softw. Impacts, 2022

2021

An Innovative Method for Automatic American Sign Language Interpretation using Machine Learning and Leap Motion Controller.

Jon Jenkins, Sherif Rashad

Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

2020

Design of Machine Learning Algorithms for Behavioral Prediction of Objects for Self-Driving Cars.

Yevgeniy Byeloborodov, Sherif Rashad

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

Continuous Authentication of Smartphone Users using Machine Learning.

Suhana Ambol, Sherif Rashad

Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

2019

Efficient Feature Selection for Intrusion Detection Systems.

S. Sareh Ahmadi, Sherif Rashad, Heba Elgazzar

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Machine Learning Models for Activity Recognition and Authentication of Smartphone Users.

S. Sareh Ahmadi, Sherif Rashad, Heba Elgazzar

Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

A Wearable Mobile Exergaming System for Activity Recognition and Relaxation Awareness.

Jenario Johnson, Eric Williams, Michael Swindon, Kendon Ricketts, Behzad Mottahed, Sherif Rashad, Ryan Integlia

Proceedings of the 2019 IEEE International Systems Conference, 2019

Comparing ANN, SVM, and HMM based Machine Learning Methods for American Sign Language Recognition using Wearable Motion Sensors.

Rabeet Fatmi, Sherif Rashad, Ryan Integlia

Proceedings of the IEEE 9th Annual Computing and Communication Workshop and Conference, 2019

2017

American Sign Language Recognition using Hidden Markov Models and Wearable Motion Sensors.

Rabeet Fatmi, Sherif Rashad, Ryan Integlia, Gabriel Hutchison

Trans. Mach. Learn. Data Min., 2017

2011

SmartMobiMine: Smart mobile data mining techniques to support 4G mobile networks.

Sherif Rashad, Joshua Bradley

Proceedings of the 2011 IEEE Consumer Communications and Networking Conference, 2011

2008

A predictive handoff scheme for multi-hop heterogeneous wireless networks.

Abraham George, Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic

Proceedings of the Third International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2008), 2008

Location Management in 4G Wireless Heterogeneous Networks using Mobile Data Mining Techniques.

Sherif Rashad

Proceedings of the Novel Algorithms and Techniques in Telecommunications and Networking, 2008

2007

PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks.

Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar

Proceedings of the 12th IEEE Symposium on Computers and Communications (ISCC 2007), 2007

MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks.

Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks.

Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar

J. Parallel Distributed Comput., 2006

2004

Mobile data mining for radio resource management in wireless mobile networks.

Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar

Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks.

Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar

Proceedings of the Advances in Data Mining, 2004