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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 ...
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 ...
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 ...
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 ...
Latent Semantic Indexing (LSI) Based Distributed System and Search On Encrypted Data
(Computing, 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
(Computer Science, 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 ...
Towards Accurate Loss Prediction In Kahramaa Water Stations
(Computing, 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 ...
EVALUATION OF 2D AND 3D TECHNIQUES FOR SENTIMENT VISUALIZATION
(Computing, 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 ...