Sherif Rashad

20 papers A* 1C 3Journal 3Unranked 13
YearRankTypeTitle / Venue / Authors
2024 — conf
An Innovative System for Real-Time Translation from American Sign Language (ASL) to Spoken English using a Large Language Model (LLM).
UEMCON
Larry Emerson Johnson, Sherif Rashad
2024 — conf
Continuous Authentication of Smartphones using a Convolutional Neural Network Model.
UEMCON
John Reichenbach, Sherif Rashad
2023 — conf
Machine Learning Based Pedestrian Detection and Tracking for Autonomous Vehicles.
CCWC
Tyler Ward, Sherif Rashad, Heba Elgazzar
2022 J jnl
LeapASL: A platform for design and implementation of real time algorithms for translation of American Sign Language using personal supervised machine learning models.
Softw. Impacts
Jon Jenkins, Sherif Rashad
2021 — conf
An Innovative Method for Automatic American Sign Language Interpretation using Machine Learning and Leap Motion Controller.
UEMCON
Jon Jenkins, Sherif Rashad
2020 — conf
Continuous Authentication of Smartphone Users using Machine Learning.
UEMCON
Suhana Ambol, Sherif Rashad
2020 — conf
Design of Machine Learning Algorithms for Behavioral Prediction of Objects for Self-Driving Cars.
UEMCON
Yevgeniy Byeloborodov, Sherif Rashad
2019 — conf
A Wearable Mobile Exergaming System for Activity Recognition and Relaxation Awareness.
SysCon
Jenario Johnson, Eric Williams, Michael Swindon, Kendon Ricketts, Behzad Mottahed, Sherif Rashad, Ryan Integlia
2019 — conf
Comparing ANN, SVM, and HMM based Machine Learning Methods for American Sign Language Recognition using Wearable Motion Sensors.
CCWC
Rabeet Fatmi, Sherif Rashad, Ryan Integlia
2019 — conf
Efficient Feature Selection for Intrusion Detection Systems.
UEMCON
S. Sareh Ahmadi, Sherif Rashad, Heba Elgazzar
2019 — conf
Machine Learning Models for Activity Recognition and Authentication of Smartphone Users.
UEMCON
S. Sareh Ahmadi, Sherif Rashad, Heba Elgazzar
2017 J jnl
American Sign Language Recognition using Hidden Markov Models and Wearable Motion Sensors.
Trans. Mach. Learn. Data Min.
Rabeet Fatmi, Sherif Rashad, Ryan Integlia, Gabriel Hutchison
2011 — conf
SmartMobiMine: Smart mobile data mining techniques to support 4G mobile networks.
CCNC
Sherif Rashad, Joshua Bradley
2008 — conf
A predictive handoff scheme for multi-hop heterogeneous wireless networks.
COMSWARE
Abraham George, Sherif Rashad, Anup Kumar, Mehmed M. Kantardzic
2008 — conf
Location Management in 4G Wireless Heterogeneous Networks using Mobile Data Mining Techniques.
TeNe
Sherif Rashad
2007 C conf
MSP-CACRR: Multidimensional Sequential Patterns Based Call Admission Control and Resource Reservation for Next-Generation Wireless Cellular Networks.
CIDM
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2007 C conf
PAC-WHN: Predictive Admission Control for Wireless Heterogeneous Networks.
ISCC
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2006 J jnl
User mobility oriented predictive call admission control and resource reservation for next-generation mobile networks.
J. Parallel Distributed Comput.
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2004 A* conf
A Data Mining Approach for Call Admission Control and Resource Reservation in Wireless Mobile Networks.
ICDM
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar
2004 C conf
Mobile data mining for radio resource management in wireless mobile networks.
ICMLA
Sherif Rashad, Mehmed M. Kantardzic, Anup Kumar