Computing: Recent submissions
Now showing items 81-100 of 112
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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. ... -
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 ... -
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. ... -
A Nutrition Game-Based Technology Solution To Incite Children To Take Daily Breakfast From Healthy Food
(2018 , Professional Masters Project)Many children in Qatar are going daily to school without taking their breakfast. They buy, however, unhealthy food from their schools, nearby shops or restaurants, which results in many health problems, like obesity and ... -
Bagged Randomized Conceptual Machine Learning Method
(2018 , Master Thesis)Formal concept analysis (FCA) is a scientific approach aiming to investigate, analyze and represent the conceptual knowledge deduced from the data in conceptual structures (lattice). Recently many researchers are counting ... -
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 ... -
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 ... -
Deep Learning Based Approach For Prediction Of Cloud Resource Needs
(2018 , Professional Masters Project)Cloud computing allows scaling applications to serve dynamic and time-varying workloads and to avoid application performance degradation, while keeping low provisioning costs. But, resource demand of applications need to ... -
EFFICIENT SKYLINE SYSTEM DEVELOPMENT FOR NORMAL AND HIDDEN DATABASES: APPLICATION FOR GOOGLE FLIGHTS
(2018 , Professional Masters Project)Deep web databases provide strict search interface and limited web access with top-k results based on a pre-defined ranking function. However, top-k results may not be suitable for multi-criteria decision making because ... -
EVALUATION OF 2D AND 3D TECHNIQUES FOR SENTIMENT VISUALIZATION
(2018 , Master Thesis)With the rise of user generated content on the Internet, sentiment visualization is being highly researched and practiced. Advances in information visualization, such as the use of three-dimensional visualizations need to ... -
An Ontology based Text-to-Picture Multimedia m-Learning System
(2018 , Dissertation)Multimedia Text-to-Picture is the process of building mental representation from words associated with images. From the research aspect, multimedia instructional message items are illustrations of material using words and ... -
Automated Segmentation of Cerebral Aneurysm Using a Novel Statistical Multiresolution Approach
(2018 , Master Thesis)Cerebral Aneurysm (CA) is a vascular disease that threatens the lives of many adults. It a ects almost 1:5 - 5% of the general population. Sub- Arachnoid Hemorrhage (SAH), resulted by a ruptured CA, has high rates ... -
Latent Semantic Indexing (LSI) Based Distributed System and Search On Encrypted Data
(2018 , Master Thesis)Latent semantic indexing (LSI) was initially introduced to overcome the issues of synonymy and polysemy of the traditional vector space model (VSM). LSI, however, has challenges of its own, mainly scalability. Despite being ... -
ON RELEVANCE FILTERING FOR REAL-TIME TWEET SUMMARIZATION
(2018 , Master Thesis)Real-time tweet summarization systems (RTS) require mechanisms for capturing relevant tweets, identifying novel tweets, and capturing timely tweets. In this thesis, we tackle the RTS problem with a main focus on the relevance ... -
A conceptual heuristic for solving the maximum clique problem
(2017 , Master Thesis)The maximum clique problem (MCP) is the problem of finding the clique with maximum cardinality in a graph. It has been intensively studied for years by computer scientists and mathematicians. It has many practical applications ... -
Detecting market manipulation in stock market data
(2017 , Master Thesis)Anomaly Detection is an extensively researched problem that has diverse applications in many domains. Anomaly detection is the process of finding data points or patterns that do not conform to expected behavior within a ... -
Conceptual data sampling for image segmentation- an application for breast cancer images
(2017 , Master Thesis)At the present time data analytics have become a buzzword for the in- formation technology sector. In an attempt to analyze data; one may follow various paths. Be it deploying sophisticated technologies to process big ... -
Features Ranking Techniques for Single Nucleotide Polymorphism Data
(2017 , Master Thesis)Identifying biomarkers like single nucleotide polymorphisms (SNPs) is an important topic in biomedical applications. Such SNPs can be associated with an individual’s metabolism of drugs, which make these SNPs targets for ... -
Deanonymizing tor hidden service users through bitcoin transactions analysis
(2017 , Master Thesis)With the rapid increase of threats on the Internet, people are continuously seeking privacy and anonymity. Services such as Bitcoin and Tor were introduced to provide anonymity for online transactions and Web browsing. Due ... -
Accurate Classification of Partial Discharge Phenomena in Power Transformers in the Presence of Noise
(2017 , Master Thesis)The objective of this research is to accurately classify different types of Partial Discharge (PD) phenomenon that occurs in transformers in the presence of noise. A PD is an electrical discharge or spark that bridges a ...
