• QoE-Aware Resource Allocation For Crowdsourced Live Streaming: A Machine Learning Approach 

      Haouari, Fatima (2019 , Master Thesis)
      In the last decade, empowered by the technological advancements of mobile devices and the revolution of wireless mobile network access, the world has witnessed an explosion in crowdsourced live streaming. Ensuring a ...
    • Quantifying Empathy in Virtual Reality 

      Bin Owais, Waleed (2021 , Master Thesis)
      We propose a multidimensional model in virtual reality (VR) based intervention to quantify empathy enhancement and promotion of prosocial behavior. A simulation in virtual reality is developed, which can be used as a form ...
    • Quantum key distribution with application to IOT security 

      Al-Mohammed, Hasan Abbas Jolan (2021 , Master Thesis)
      The Internet of Things (IoT) connects billions of machines that can interact with each other. IoT is one of the fastest-growing areas in the history of computing, and will continue in this direction in the 6G era. New ...
    • QUEUEING THEORY BASED KUBERNETES AUTOSCALER 

      KADOURA, KHALED NABIL (2018 , Professional Masters Project)
      The microservices architecture is emerging as a new architectural style for designing and developing applications by composing loosely coupled services that exchange standard messages using standard interfaces and protocols. ...
    • Rail Robot for Rail Track Inspection 

      AlNaimi, Noora Rashid (2020 , Master Thesis)
      Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, but also expensive. In addition, the accuracy of defect ...
    • Real-time Tweet Summarization Mobile Application 

      Salim, Nazar S. (2018 , Professional Masters Project)
      With the emergence of the massive volume of content through social media platforms, users are getting overwhelmed with information, though searching for the topic will give you filtered information that interests you. ...
    • Recognizing Stereotyped Behavior in Children with Autism 

      Faraj, Ranim Haisam (2020 , Professional Masters Project)
      This project works on helping in identifying and recognizing autistic children's stereotyped behaviors, which can help in diagnosing autism on children. The recognition accomplished by building a signal processing model ...
    • REINFORCEMENT LEARNING BASED APPROACHES FOR RESOURCE ALLOCATION IN SMART HEALTH SYSTEMS. 

      ABOELENEEN, AMR ESSAM (2022 , Master Thesis)
      With the emergence of smart health (s-health) applications and services, several requirements for quality have arisen to foresee and react instantaneously to emergency circumstances. Such conditions demand adaptive fast-acting ...
    • Safety Aware Vehicle Routing Algorithm, A Weighted Sum Approach 

      Nizam, Radwan (2017 , Master Thesis)
      Driving is an essential part of work life for many people. Although driving can be enjoyable and pleasant, it can also be stressful and dangerous. Many people around the world are killed or seriously injured while driving. ...
    • Segmentation of Tumor Regions in Microscopic Images of Breast Cancer Tissue 

      Abid, Dhoha (2016 , Master Thesis)
      Nowadays, advances in the domain of digital pathology gave the means to replace the old optical microscopes by the Whole Slide Imaging (WSI) scanners. These scanners enable pathologists viewing conventional tissue slides ...
    • SMART HARDWARE TROJAN DETECTION SYSTEM 

      ALKHAZENDAR, IYAD W. J. (06-2 , Master Thesis)
      The IoT has become an indispensable part of our lives at work and in our home applications. Due to the need for many IoT devices, IoT manufacturers are least concerned about security vulnerabilities during designing and ...
    • SparkIR: a Scalable Distributed Information Retrieval Engine over Spark 

      Al-Rasbi, Sara Yaqoob (2020 , Master Thesis)
      Search engines have to deal with a huge amount of data (e.g., billions of documents in the case of the Web) and find scalable and efficient ways to produce effective search results. In this thesis, we propose to use ...
    • Staticand Dynamic Facial Emotion Recognition Using Neural Network Models 

      Hussein, Ealaf Sayed Ahmed (2020 , Master Thesis)
      Emotion recognition is the process of identifying human emotions. It is made possible by processing various modalities including facial expressions, speech signals, biometricsignals,etc. Withtheadvancementsincomputingt ...
    • STOCK MARKET FORECASTING: AN APPLICATION OF LONG SHORT TERM MEMORY (LSTM) RECURRENT NEURAL NETWORK 

      YASSIN, HISHAM (2018 , Professional Masters Project)
      Predicting stock market prices is regarded as a challenging task of financial time series, due to its chaotic, non-linear, non-stationary and dynamic nature. In this project we address the problem of stock market forecasting ...
    • A Threat-Specific Risk Evaluation Tool For Cloud Environments 

      Hussein, Alaa Sayed Ahmed (2018 , Professional Masters Project)
      With the spread of using cloud computing; both as organizations and individual, it has become a target for attackers. The cloud environment has several weaknesses that pose threats to its users’ assets. To assess any type ...
    • Time-Aware Workload Charactrization And Prediction For Proactive Auto-Scaling Of Web Applications 

      Aboueata, Nada Mahmoud (2019 , Master Thesis)
      Proactive auto-scaling techniques aim to predict the future workload of web applications to provision the required resources, such as virtual machines (VMs), ahead of time. Nevertheless, deciding the optimal number of ...
    • Towards Accurate Loss Prediction In Kahramaa Water Stations 

      Al-Jaber, Eman Jassim (2018 , Master Thesis)
      Qatar General Electricity and Water Corporation (KAHRAMAA, KM) deployed and started operation of water Supervisory Control and Data Acquisition (SCADA) system in 2006. The aims of this SCADA system are to increase the ...
    • USING CONTEXT SPECIFIC GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO DATA COMPLETION: MUSICAL INSTRUMENTS CASE STUDY 

      MAAYAH, MARINA FAWZI FARAH (2023 , Master Thesis)
      Audio quality plays an essential role in several applications ranging from music to voice conversations. Sound information is subject to quality loss caused by reasons such as intermittent network connections, or storage ...
    • USING EMBEDDED MACHINE LEARNING IN THE PHYSICAL WORLD TO DETECT TOXICITY IN SPOKEN LANGUAGE 

      ABU NADA, AHLAM HUSNI (2023 , Master Thesis)
      Toxicity is a prevalent social behavior that involves the use of hate speech, offensive language, bullying, and abusive speech. While text-based approaches for toxicity detection are common, there is limited research on ...