Browsing Computing by Publication Date
Now showing items 1-20 of 103
-
MOBILE APP FOR HIDDEN DATA ANALYTICS OF ONLINE MARKETPLACE SYSTEMS
(2016 , Master Thesis)In this project, an extensive analysis and evaluation of the existing e-marketplaces is performed. The aim of this analysis is to improve the experience of end-users through an Android application that is capable of ... -
PERFORMANCE EVALUATION OF CROSS-LAYER DESIGN WITH DISTRIBUTED AND SEQUENTIAL MAPPING SCHEME FOR VIDEO APPLICATION OVER IEEE 802.11E
(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 ... -
Building a Test Collection for Significant-Event Detection in Arabic Tweets
(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 ... -
A COMPREHENSIVE FRAMEWORK FOR DESIGN AND EVALUATION OF M-LEARNING APPLICATIONS
(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 ... -
Segmentation of Tumor Regions in Microscopic Images of Breast Cancer Tissue
(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 ... -
MINIMIZING NUMBER OF SENSORS IN WIRELESS SENSOR NETWORKS FOR STRUCTURE HEALTH MONITORING SYSTEMS
(2016 , Master Thesis)Nowadays, wireless sensor networks (WSNs) are considered an essential candidate to apply structural health monitoring (SHM). An important problem in this area is sensor placement optimization. In many research works, ... -
Conceptual Based Hidden Data Analytics and Reduction Method for System Interface Enhancement Through Handheld devices
(2016 , Master Thesis)With the increasing demand placed on online systems by users, many organizations and companies are seeking to enhance their online interfaces to facilitate the search process on their hidden databases. Usually, users issue ... -
EXPLORING CONFIDENTIALITY AND PRIVACY OF IMAGE IN CLOUD 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, ... -
Modeling Family Behaviors in Crowd Simulation
(2017 , Master Thesis)Modeling human behavior for a general situation is difficult, if not impossible. Crowd simulation represents one of the approaches most commonly used to model such behavior. It is mainly concerned with modeling the different ... -
ICT INDUSTRY INTEGRATED CURRICULA: TOWARDS AN ONTOLOGY BASED COMPETENCY MODEL
(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 ... -
Modeling and Simulation of Bio-pathways using Hybrid Functional Petri Nets
(2017 , Master Thesis)The study of biological systems is growing rapidly, and can be considered as an intrinsic task in biological research and a prerequisite for diagnosing diseases and drug development. The integration of biological studies ... -
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 ... -
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 ... -
Safety Aware Vehicle Routing Algorithm, A Weighted Sum Approach
(2017 , Master Thesis)Driving is an essential part of work life for many people. Although driving can be enjoyable and pleasant, it can also be stressful and dangerous. Many people around the world are killed or seriously injured while driving. ... -
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 ...
