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السجلات المعروضة 79 -- 98 من 100
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QoE-Aware Resource Allocation For Crowdsourced Live Streaming: A Machine Learning Approach
(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
(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
(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
(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
(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
(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
(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.
(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 ... -
RETRIEVAL OF AUTHORITIES AND THEIR EVIDENCE FOR RUMOR VERIFICATION IN ARABIC SOCIAL MEDIA
(2024 , Dissertation)Social media platforms have become a medium for rapidly spreading rumors along with emerging events. Those rumors may have a lasting effect on users' opinion even after it is debunked, and may continue to influence them ... -
Safety Aware Vehicle Routing Algorithm, A Weighted Sum Approach
(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
(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
(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
(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
(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
(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 ... -
STRONG MARKET-MAKING USING DEEP REINFORCEMENT LEARNING: BITCOIN MARKET ANALYSIS
(2024 , Master Thesis)This study evaluates the use of deep reinforcement learning (DRL) in market-making, specifically in the Bitcoin market. DRL has shown promise in providing robust market-making capabilities, including enhanced market liquidity ... -
A Threat-Specific Risk Evaluation Tool For Cloud Environments
(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
(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 A SAFER METAVERSE: ANOMALY DETECTION IN AVATAR ACTIONS USING HUMAN ACTION TRANSFER LEARNING
(2024 , Master Thesis)The Metaverse has captured global attention as a potential frontier for the internet's future. Avatar actions within this immersive digital realm mirror real-world behaviors, introducing safety concerns like cyberbullying ... -
Towards Accurate Loss Prediction In Kahramaa Water Stations
(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 ...