Browsing by Author "Jabbar, Rateb"
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Applied Internet of Things IoT: Car monitoring system for Modeling of Road Safety and Traffic System in the State of Qatar
Jabbar, Rateb; Al-Khalifa, Khalifa; Kharbeche, Mohamed; Alhajyaseen, Wael; Jafari, Mohsen; Jiang, Shan... more authors ... less authors ( Hamad bin Khalifa University Press (HBKU Press) , 2018 , Conference Paper)One of the most interesting new approaches in the transportation research field is the Naturalistic Driver Behavior which is intended to provide insight into driver behavior during everyday trips by recording details about ... -
Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review
Jabbar, Rateb; Dhib, Eya; Said, Ahmed Ben; Krichen, Moez; Fetais, Noora; Zaidan, Esmat; Barkaoui, Kamel... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Other)The use of Blockchain technology has recently become widespread. It has emerged as an essential tool in various academic and industrial fields, such as healthcare, transportation, finance, cybersecurity, and supply chain ... -
Exploration of Carbonate Aggregates in Road Construction using Ultrasonic and Artificial Intelligence Approaches
Abdelhedi, Mohamed; Jabbar, Rateb; Abbes, Chedly ( Qatar University Press , 2023 , Conference Paper)The COVID-19 pandemic has significantly impacted the construction sector, which is highly sensitive to economic cycles. In order to boost value and efficiency in this sector, the use of innovative exploration technologies ... -
How sustainable is electric mobility? A comprehensive sustainability assessment approach for the case of Qatar
Nuri Cihat, Onat; Kucukvar, Murat; Aboushaqrah, Nour N.M.; Jabbar, Rateb ( Elsevier , 2019 , Article)Electric mobility is a trending topic around the world, and many countries are supporting electric vehicle technologies to reduce environmental impacts from transportation such as greenhouse gas emissions and air pollution ... -
The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar
Abulibdeh, Ammar; Zaidan, Esmat; Jabbar, Rateb ( Elsevier Ltd , 2022 , Article)The goal of this study is to use machine-learning (ML) techniques and empirical big data to examine the influence of the COVID-19 pandemic on electricity usage and electricity demand forecasting accuracy in buildings in ... -
Life cycle sustainability assessment of sport utility vehicles: The case for Qatar
Aboushaqrah, N.; Aboushaqrah, Nour N.M.; Onat, Nuri Cihat; Kucukvar, Murat; Jabbar, Rateb ( Springer Verlag , 2020 , Article)Electric vehicle technologies are attractive alternatives to traditional vehicles towards achieving sustainable transportation. The adoption of these technologies has a great potential in reducing road transportation ... -
Machine learning for prediction of the uniaxial compressive strength within carbonate rocks
Abdelhedi, Mohamed; Jabbar, Rateb; Said, Ahmed Ben; Fetais, Noora; Abbes, Chedly ( Springer Science and Business Media Deutschland GmbH , 2023 , Article)The Uniaxial Compressive Strength (UCS) is an essential parameter in various fields (e.g., civil engineering, geotechnical engineering, mechanical engineering, and material sciences). Indeed, the determination of UCS in ... -
Motivation, preference, socioeconomic, and building features: New paradigm of analyzing electricity consumption in residential buildings
Zaidan, Esmat; Abulibdeh, Ammar; Alban, Ahmad; Jabbar, Rateb ( Elsevier , 2022 , Article)In strategic energy planning, human-oriented factors are uncertain and lead to unpredictable challenges. Thus, decision-makers must contextualize the target society to address these uncertainties. More precisely, uncertainties ... -
Privacy-preserving federated learning cyber-threat detection for intelligent transport systems with blockchain-based security
Moulahi, Tarek; Jabbar, Rateb; Alabdulatif, Abdulatif; Abbas, Sidra; El Khediri, Salim; Zidi, Salah; Rizwan, Muhammad... more authors ... less authors ( John Wiley and Sons Inc , 2022 , Article)Artificial intelligence (AI) techniques implemented at a large scale in intelligent transport systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making independent decisions about cyber threats, ... -
Recent progress in generative adversarial networks applied to inversely designing inorganic materials: A brief review
Jabbar, Rahma; Jabbar, Rateb; Kamoun, Slaheddine ( Elsevier B.V. , 2022 , Other)Generative adversarial networks (GANs) are deep generative models (GMs) that have recently attracted attention owing to their impressive performance in generating completely novel images, text, music, and speech. Recently, ...