Samer Rihawi

• Master of Technology
• Lecturer at Liwa College

This study was meant to assess the relationship between Student Interaction Recognizer Model and a Deep Learning Framework for real time student engagement monitoring in the United Arab Emirates (UAE).The researchers employed the experimental research design to conduct the research study. Thirteen students were chosen using convenient sampling t...

The healthcare and industry fields are being significantly impacted by the dynamic synergy of edge computing and artificial intelligence (AI) algorithms. The complex AI algorithms at the center of this revolution are designed for edge computing. This chapter's goal is to provide an understanding of these algorithms' capabilities in practical applic...

This research focuses on deaf students in the United Arab Emirates. The proposed classroom assessment using sign language communicator (CASC) for special needs students (SN) in the United Arab Emirates is based on artificial intelligence (AI) tools. This research provides essential services for teaching evaluations, learning outcome assessments, an...

This research focuses on the learning challenges that both students and teachers face during the learning process. It addresses the different techniques and methods used for face recognition. The proposed VTA model uses the convolutional neural networks to recognize the identities of the student. It gathers the facial expressions and body poses of...

Deaf dumb students face problems when attending mainstream colleges unless they receive proper help and support. In this paper, an Internet of Things (IoT)-based framework for speech translating into UAE sign language is described. The purposed Sign Language System (SLS) is based on Raspberry Pi (RPi) energized with a power bank, it picks up the sp...