Výsledky vyhledávání - "Hadeel A. Tabaza"

PERFORMANCE EVALUATION OF AN ADAPTABLE inVANETS-BASED INTERSECTION TRAFFIC CONTROL

Autor: Mourad Elhadef, Iman Saeed, Hadeel A. Tabaza

Publikováno v: Proceedings of the International Conferences ICT, Society, and Human Beings 2019; Connected Smart Cities 2019; and Web Based Communities and Social Media 2019.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f75411a53b0671fd2d27fa73bfe22391
https://doi.org/10.33965/csc2019_201908l029

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A Food Wastage Reduction Mobile Application

Autor: Hassan Hajjdiab, Wedad Ahmed, Ayesha Anzer, Hadeel A. Tabaza

Publikováno v: FiCloud Workshops

Wasting food is a common problem in our society. Food waste management is crucial since it can improve our environmental and economic sustainability. We have identified the use of mobile technology to reduce food waste management and built an android

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::af755bd096642db76b5b1424528b82e2
https://doi.org/10.1109/w-ficloud.2018.00030

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A Distributed Intelligent Vehicular Ad-hoc Networks-Based Traffic Control System

Autor: Saeed, Iman, Elhadef, Mourad, Hadeel A. Tabaza, Baras, Sarah

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef83f5748cbc6ff7417bf80cd45a654e

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VANETs-Based Intelligent Transportation Systems: An Overview

Autor: Hadeel A. Tabaza, Mourad Elhadef, Iman Saeed, Sarah Baras

Publikováno v: Advances in Computer Science and Ubiquitous Computing ISBN: 9789811076046
CSA/CUTE

The rapid development of technologies in Vehicular Ad-hoc Networks (VANETs) field led to the creation of different systems and enriched researches by different private, public sectors and researchers around the world. These achievements provide a str

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::36cc9347c42d0d04630c27f4b6cd3305
https://doi.org/10.1007/978-981-10-7605-3_44

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Predicting Academic Performance of Students in UAE Using Data Mining Techniques

Autor: Jauhar Ali, Ayesha Anzer, Hadeel A. Tabaza

Publikováno v: Scopus-Elsevier

In this paper, we implemented an approach to predict final exam scores from early course assessments of the students during the semester. We used a linear regression model to check which part of the evaluation of the course assessment affects final e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c242f290ef65df1ea2c284aac5c0319
http://www.scopus.com/inward/record.url?eid=2-s2.0-85053453941&partnerID=MN8TOARS

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