Browsing Faculty Contributions by Author "Jabbar, Rateb"
Now showing items 1-8 of 8
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Blockchain for the Internet of Vehicles: How to Use Blockchain to Secure Vehicle-to-Everything (V2X) Communication and Payment?
Jabbar, Rateb; Fetais, Noora; Kharbeche, Mohamed; Krichen, Moez; Barkaoui, Kamel; Shinoy, Mohammed... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)As the Internet of Things (IoT) is evolving, one of its rapidly developing components is the transformation of standard Vehicle Ad-hoc Networks (VANETs) into the Internet of Vehicles (IoV). Due to the exceptional progress ... -
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 ... -
Evaluating the impact of the COVID-19 pandemic on the geospatial distribution of buildings' carbon footprints associated with electricity consumption
Esmat, Zaidan; Abulibdeh, Ammar; Jabbar, Rateb; Onat, Nuri Cihat; Kucukvar, Murat ( Elsevier , 2024 , Article)The carbon footprint (CF) linked to electricity consumption in buildings has become a significant environmental issue because of its significant role in greenhouse gas emissions. This study seeks to assess and examine the ... -
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 ... -
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, ...