ProfessorsProfessors of Egypt-Japan University of Science and TechnologySara Ashry

Sara Ashry

Egypt-Japan University of Science and Technology

H-index: 4

Africa-Egypt

About Sara Ashry

Sara Ashry, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Egypt-Japan University of Science and Technology, specializes in the field of Computer Science Engineering, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

CHARM-deep: Continuous human activity recognition model based on deep neural network using IMU sensors of smartwatch

Improved IMU-based human activity recognition using hierarchical hmm dissimilarity

Sara Ashry Information

University	Egypt-Japan University of Science and Technology
Position	(E-JUST)
Citations(all)	133
Citations(since 2020)	130
Cited By	38
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Egypt-Japan University of Science and Technology
Google Scholar	View Google Scholar Profile

Sara Ashry Skills & Research Interests

Computer Science Engineering

Machine Learning

Top articles of Sara Ashry

Title	Journal	Author(s)	Publication Date
CHARM-deep: Continuous human activity recognition model based on deep neural network using IMU sensors of smartwatch	IEEE Sensors Journal	Sara Ashry Tetsuji Ogawa Walid Gomaa	2020/4/3
Improved IMU-based human activity recognition using hierarchical hmm dissimilarity	Proceedings of the 17th international conference on informatics in control, automation and robotics	Sara Ashry Walid Gomaa Mubarak G Abdu-Aguye Nahla El-borae	2020