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    Browsing by Author "Kharbeche, Mohamed"

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        A free-slack-based genetic algorithm for the robotic cell problem with controllable processing times 

        Al-Salem, Mohammed; Haouari, Mohamed; Kharbeche, Mohamed; Khallouli, Wael ( Springer New York LLC , 2016 , Book chapter)
        We present a novel genetic algorithm for the Robotic Cell Problem with controllable processing times. This challenging problem arises in an automated production cell that consists of m consecutive machines as well as a ...
      • A General Framework for Building Resilient Global Supply Chains 

        Al-Khatib, Maryam; Kharbeche, Mohamed; Haouari, Mohamed ( IEEE , 2023 , Conference)
        With the rapid globalization and expansion of supply chains, the risk of disruptions has increased, leading to severe financial losses and operational shutdowns. The pursuit of global integration and efficiency has further ...
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        An assessment of Qatari school students' perspective towards using sustainable modes of transport to school 

        Muley, Deepti; Kharbeche, Mohamed; Al-Khalifa, Khalifa N. ( Elsevier , 2023 , Article)
        Being a car dependent country traditionally, private cars are widely used for various trip purposes in State of Qatar including school trips. This paper assesses the factors affecting sustainable mode choices, walking or ...
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        An assignment-based lower bound for a class of two-machine flow shop problems 

        Haouari, Mohamed; Kharbeche, Mohamed (2013 , Article)
        We present an assignment-based lower bound that is valid for a wide class of two-machine flow shop problems with a regular additive performance criterion. We provide empirical evidence that this new bound consistently ...
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        An optimization-based heuristic for the machine reassignment problem 

        Mrad, Mehdi; Gharbi, Anis; Haouari, Mohamed; Kharbeche , Mohamed ( Springer New York LLC , 2016 , Article)
        We address the machine reassignment problem proposed in the context of the ROADEF/EURO challenge 2012 in partnership with Google. The problem consists in reassigning a set of processes to a set of multiple-resource machines ...
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        Analysis of Vehicle Breakdown Conditions of Motorcycle Food Delivery Riders with Demographics and Work Characteristics 

        Shabna, Sayed Mohammed; Nirjhor, Nafisa; Abdulaziz, Najlaa; Tonny, Maimouna Akther; Kharbeche, Mohamed ( Elsevier , 2025 , Conference)
        Motorcycle food delivery riders (MFDRs) in Qatar often maximize their income by completing more rides and disregarding regular maintenance of vehicles. This could result in motorcycle breakdowns that could affect the safety ...
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        ANN-Based traffic volume prediction models in response to COVID-19 imposed measures 

        Ghanim, Mohammad Shareef; Muley, Deepti; Kharbeche, Mohamed ( Elsevier , 2022 , Article)
        Many countries around the globe have imposed several response measures to suppress the rapid spread of the COVID-19 pandemic since the beginning of 2020. These measures have impacted routine daily activities, along with ...
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        Anticipating the impacts of mega events on host-country agri-food supply chains: a synthesis based on a simulation of the World Cup 2022 in Qatar 

        Ben Rabah, Chaima; Chen, Mengfei; Kharbeche, Mohamed; Haouari, Mohamed; Guo, Weihong ( Elsevier , 2025 , Conference)
        Agri-food supply chains are likely to be disrupted during mega events. In order to prevent food waste and financial losses, it is crucial to respond and recover quickly from these disruptions. In fact, hosting such events ...
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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)
        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 ...
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        Are Professional Drivers more Aggressive than General Drivers? A Case Study from Doha, Qatar 

        Dias, Charitha; Kharbeche, Mohamed; Muley, Deepti; Kashem, Abdurahman; Abul Fahed, Mohammed; Iral, Sam Verniel; Abdelfattahb, Nooreldeen... more authors ... less authors ( Elsevier B.V. , 2022 , Conference)
        Previous studies have revealed that aggressive and reckless driving can largely affect the occurrence and severity of road crashes. There could be intentional aggressive and unsafe acts, which could significantly affect ...
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        Assessing Preferences and Feasibility of Multi-Seat Child Restraint Systems (CRS) for Multi-Child Households in Qatar 

        AlAwad, Mohamed Ahmed; Kharbeche, Mohamed; Tarlochan, Faris ( Elsevier , 2025 , Conference)
        Child Restraint Systems (CRSs) are essential for child passenger safety, yet global adoption rates remain critically low, with usage often falling below 20% in many regions due to socioeconomic and cultural barriers. Larger ...
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        Assessment of School Bus Assistant’s Safety Perspective in the State of Qatar 

        Salam, Salwa; Muley, Deepti; Kharbeche, Mohamed ( Elsevier B.V. , 2022 , Conference)
        School Bus Assistants (SBA) are appointed to bridge the communication gap between students and drivers, and to ensure the safety of students on the school buses. The purpose of this study is to assess the safety procedures ...
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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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        Building resilience in the infant formula milk supply chain 

        Al-Khatib, Maryam; Haji, Mona; Haouari, Mohamed; Kharbeche, Mohamed ( Elsevier , 2024 , Article)
        In recent years, Infant Formula Milk (IFM), a vital source of nutrition for infants lacking breast milk in their first two years, has been plagued by diverse and severe global supply chain disruptions. These challenges ...
      • Corrigendum to “Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis” [Transport. Res. F: Psychol. Behav., 108 (2025) 107–135/3052] 

        Muley, Deepti; Ahmad, Tayyab; Kharbeche, Mohamed ( Elsevier , 2025 , Article)
        The authors regret <Open Access funding is provided by the Qatar National Library.> We intend to add this sentence to the acknowledgement section. The acknowledgement should be: This study was made possible by a UREP ...
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        COVID 19 PANDEMIC: IMPACTS AND FUTURE IMPLICATIONS ON PERSONAL TRAVEL BEHAVIOR IN THE STATE OF QATAR 

        Alhajyaseen, Wael; Hussain, Qinaat; Kharbeche, Mohamed; Dias, Charitha ( Qatar University Press , 2020 , Poster)
        In December 2019, a novel and contagious coronavirus also known as Covid-19 outbroke in Wuhan, China. In response to the virus, many countries implemented strict travel restrictions and lockdowns to hold back the spread ...
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        Data-Driven Optimization for Dynamic Shortest Path Problem Considering Traffic Safety 

        Jiang, Shan; Zhang, Yilun; Liu, Ran; Jafari, Mohsen; Kharbeche, Mohamed ( IEEE , 2022 , Article)
        Traffic congestion is an inescapable problem that frustrates drivers in megacities. Although there is hardly a way to eliminate the congestion, it is possible to mitigate the impact through predictive methods. This paper ...
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        Does Pedestrian Penalty Affect Pedestrian Behavior? A Case of State of Qatar 

        Deepti, Muley; Kharbeche, Mohamed; Ghonim, Omar; Madkoor, Ahmed; Mohamed, Yousef ( Elsevier , 2021 , Article)
        Crashes involving pedestrians are a major concern for authorities in many developed and developing countries. To refrain pedestrians from illegal or unsafe road behavior, authorities introduced three pedestrian penalties ...
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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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