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السجلات المعروضة 1 -- 10 من 16
Optimal Resource Allocation Using Deep Learning-Based Adaptive Compression For Mhealth Applications
(Computing, 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 ...
QUEUEING THEORY BASED KUBERNETES AUTOSCALER
(Computing, 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. ...
Deep Learning Based Approach For Prediction Of Cloud Resource Needs
(Computing, 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 ...
Bagged Randomized Conceptual Machine Learning Method
(Computing, 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
(Computing, 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 ...
Equipment Criticality Classification Using Analytical Hierarchy Method
(Engineering Management, 2018 , Master Thesis)
The overall aim of this project is to use the analytical hierarchy process as new method in the equipment criticality process. The equipment criticality in the industrial sector is very essential part in the prioritizing ...
A Nutrition Game-Based Technology Solution To Incite Children To Take Daily Breakfast From Healthy Food
(Computing, 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 ...
STOCK MARKET FORECASTING: AN APPLICATION OF LONG SHORT TERM MEMORY (LSTM) RECURRENT NEURAL NETWORK
(Computing, 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 ...
An Ontology based Text-to-Picture Multimedia m-Learning System
(Computer Science, 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
(Computing, 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 ...