Computing: Recent submissions
Now showing items 61-80 of 100
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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 ... -
Differential Architecture Search in Deep Learning for DNA Splice Site Classification
(2019 , Master Thesis)The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the ... -
Neuropathy Classification of Corneal Nerve Images Using Artificial Intelligence
(2019 , Master Thesis)Nerve variations in the human cornea have been associated with alterations in the neuropathy state of a patient suffering from chronic diseases. For some diseases, such as diabetes, detection of neuropathy prior to ... -
Application of Machine Learning Techniques for The Prediction of Decompressive Hemicraniectomy Prognosis in Acute Ischemic Stroke
(2019 , Master Thesis)Stroke is one of the leading causes of death in the world with the number of people suffering from it increasing every year. Ischemic strokes, one of the two main types of stroke, occur when blood clots block brain ... -
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 ... -
IOTA Viability In Healthcare Industry
(2019 , Master Thesis)The Internet of Things is a novel paradigm which involves the increasing prevalence of objects and entities supported with identifiers and the ability to exchange the data over a network. However, with all these advantages ... -
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 ... -
Optimal Resource Allocation Using Deep Learning-Based Adaptive Compression For Mhealth Applications
(2018 , Master Thesis)In the last few years the number of patients with chronic diseases that require constant monitoring increases rapidly; which motivates the researchers to develop scalable remote health applications. Nevertheless, transmitting ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...
