Browsing Computing by Title
Now showing items 92-100 of 100
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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 ... -
USING CONTEXT SPECIFIC GENERATIVE ADVERSARIAL NETWORKS FOR AUDIO DATA COMPLETION: MUSICAL INSTRUMENTS CASE STUDY
(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
(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 ...