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    Browsing by Author "Jabbar, Rateb"

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        Adopting formal verification and model-based testing techniques for validating a blockchain-based healthcare records sharing system 

        Jabbar, Rateb; Krichen, Moez; Fetais, Noora; Barkaoui, Kamel ( SciTePress , 2020 , Conference)
        The Electronic Health Records (EHR) sharing system is the modern tool for delivering efficient healthcare to patients. Its functions include tracking of therapies, monitoring of the treatment effectiveness, prediction of ...
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        Blockchain for the internet of vehicles: A decentralized IoT solution for vehicles communication using ethereum 

        Jabbar, Rateb; Kharbeche, Mohamed; Al-Khalifa, Khalifa; Krichen, Moez; Barkaoui, And Kamel ( MDPI AG , 2020 , Article)
        The concept of smart cities has become prominent in modern metropolises due to the emergence of embedded and connected smart devices, systems, and technologies. They have enabled the connection of every “thing” to the ...
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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 ...
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        Blockchain technology for healthcare: Enhancing shared electronic health record interoperability and integrity 

        Jabbar, Rateb; Fetais, Noora; Krichen, Moez; Barkaoui, Kamel ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
        The Electronic Health Records (EHR) sharing system is the state of art for delivering healthcare. The tools within the system can predict outcomes during the patient's lifetime, monitor how effective are treatments, track ...
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        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 , Article)
        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 ...
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        Driver Drowsiness Detection Model Using Convolutional Neural Networks Techniques for Android Application 

        Jabbar, Rateb; Shinoy, Mohammed; Kharbeche, Mohamed; Al-Khalifa, Khalifa; Krichen, Moez; Barkaoui, Kamel... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
        A sleepy driver is arguably much more dangerous on the road than the one who is speeding as he is a victim of microsleeps. Automotive researchers and manufacturers are trying to curb this problem with several technological ...
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        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 ...
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        A formal model-based testing framework for validating an IoT solution for blockchain-based vehicles communication 

        Jabbar, Rateb; Krichen, Moez; Kharbeche, Mohamed; Fetais, Noora; Barkaoui, Kamel ( SciTePress , 2020 , Conference)
        The emergence of embedded and connected smart technologies, systems, and devices has enabled the concept of smart cities by connecting every "thing" to the Internet and in particular in transportation through the Internet ...
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        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 ...
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        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 ...
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        A Model-Based and Resource-Aware Testing Framework for Parking System Payment using Blockchain 

        Jabbar, Rateb; Krichen, Moez; Shinoy, Mohammed; Kharbeche, Mohamed; Fetais, Noora; Barkaoui, Kamel... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)
        In most cities, the availability of parking is a major concern. The misuse of parking spots as drivers park for longer than permitted periods cause more delays, inconvenience to others, and even parking tickets. Moreover, ...
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        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 ...
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        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, ...
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        Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles 

        Onat, Nuri C.; Mandouri, Jafar; Kucukvar, Murat; Sen, Burak; Abbasi, Saddam A.; Alhajyaseen, Wael; Kutty, Adeeb A.; Jabbar, Rateb; Contestabile, Marcello; Hamouda, Abdel Magid... more authors ... less authors ( Springer Nature , 2023 , Article)
        Autonomous vehicles offer greater passenger convenience and improved fuel efficiency. However, they are likely to increase road transport activity and life cycle greenhouse emissions, due to several rebound effects. In ...
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        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 , Article Review)
        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, ...
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        Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety 

        Jabbar, Rateb; Shinoy, Mohammed; Kharbeche, Mohamed; Al-Khalifa, Khalifa; Krichen, Moez; Barkaoui, Kamel... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)
        Qatar expects more than a million visitors during the 2022 World Cup, which will pose significant challenges. The high number of people will likely cause a rise in road traffic congestion, vehicle crashes, injuries and ...

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