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EXPLORING CONFIDENTIALITY AND PRIVACY OF IMAGE IN CLOUD COMPUTING
(Computing, 2017 , Master Thesis)
With the increasing popularity of cloud computing, clients are storing their data in cloud servers and are using “software as a service” for computing services. However, clients’ data may be sensitive, critical, and private, ...
Building a Test Collection for Significant-Event Detection in Arabic Tweets
(Computing, 2016 , Master Thesis)
With the increasing popularity of microblogging services like Twitter, researchers discov-
ered a rich medium for tackling real-life problems like event detection. However, event
detection in Twitter is often obstructed ...
Conceptual data sampling for image segmentation- an application for breast cancer images
(Engineering-Computer Science, 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 ...
Segmentation of Tumor Regions in Microscopic Images of Breast Cancer Tissue
(Computing, 2016 , Master Thesis)
Nowadays, advances in the domain of digital pathology gave the means to replace the old optical microscopes by the Whole Slide Imaging (WSI) scanners. These scanners enable pathologists viewing conventional tissue slides ...
A COMPREHENSIVE FRAMEWORK FOR DESIGN AND EVALUATION OF M-LEARNING APPLICATIONS
(Computing, 2016 , Master Thesis)
Human-computer interaction (HCI) communities and Mobile Learning Communities (MLCs) are well aware of the challenges that mobile devices impose when it comes to conducting proper usability and user experience evaluations ...
ICT INDUSTRY INTEGRATED CURRICULA: TOWARDS AN ONTOLOGY BASED COMPETENCY MODEL
(Computing, 2017 , Master Thesis)
As technology advances rapidly, the ever changing industry needs for skills and competencies keeps changing in efforts to seize the nearest competitive advantage. This creates a great burden on higher education institutions ...
Detecting market manipulation in stock market data
(Computing, 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 ...
A conceptual heuristic for solving the maximum clique problem
(Computing, 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 ...
PERFORMANCE EVALUATION OF CROSS-LAYER DESIGN WITH DISTRIBUTED AND SEQUENTIAL MAPPING SCHEME FOR VIDEO APPLICATION OVER IEEE 802.11E
(Computer Science, 2016 , Master Thesis)
The rapid development of wireless communication imposes several challenges to support QoS for real-time multimedia applications such as video stream applications. Researchers tackled these challenges from different points ...