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السجلات المعروضة 1 -- 20 من 100
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HANDWRITING RECOGNITION IN ARABIC HISTORICAL MANUSCRIPTS
(06-2 , Dissertation)Document Analysis and Recognition significantly impact humanitarian studies by revealing information hidden in historical document collections worldwide. This research area merges the sciences of computer vision and machine ... -
ENERGY-EFFICIENT USER-EDGE ASSOCIATION AND RESOURCE ALLOCATION IN IOT-BASED HIERARCHICAL FEDERATED LEARNING
(06-2 , Master Thesis)The proliferation of data as part of the Internet of Things (IoT) systems needs to be efficiently utilized while respecting data privacy and scalability. Edge computing is an emerging paradigm that mandates efficient ... -
ENABLING EFFECTIVE ARABIC INFORMATION RETRIEVAL ON THE WEB AND SOCIAL MEDIA
(06-2 , Dissertation)Arabic is one of the most dominant languages on the Web and social media. The huge and ever-growing Arabic user generated content, further motivated by the ongoing political unrest in the region, created an immense need ... -
INTRUSION RESPONSE FOR CYBER-PHYSICAL SYSTEMS: A MODEL-FREE DEEP REINFORCEMENT LEARNING APPROACH
(06-2 , Master Thesis)Cyberattacks on Cyber-Physical Systems (CPSs) are on the rise due to CPS increased networked connectivity, which may cause costly environmental hazards as well as human and financial loss. Although the connectivity of CPSs ... -
DETECTION AND COLLECTION OF WASTE USING A PARTIALLY SUBMERGED AQUATIC ROBOT
(06-2 , Master Thesis)With the amount of waste being dispersed into oceans on the rise, mitigating this issue has become a global concern. In the past few decades, governments, scientists, organizations, and individuals have been attempting to ... -
SMART HARDWARE TROJAN DETECTION SYSTEM
(06-2 , Master Thesis)The IoT has become an indispensable part of our lives at work and in our home applications. Due to the need for many IoT devices, IoT manufacturers are least concerned about security vulnerabilities during designing and ... -
ADVANCED MACHINE LEARNING TECHNIQUES FOR ARRHYTHMIA CLASSIFICATION
(06-2 , Master Thesis)With the development of Internet-of-Things (IoT) applications, the concept of smart healthcare applications has gradually emerged to be the main factor in medicine. In fact, this raises the need to have a secure system ... -
INTERPRETABLE DEEP LEARNING MODELS FOR PREDICTION OF CLINICAL OUTCOMES FROM ELECTRONIC HEALTH RECORDS
(06-2 , Dissertation)The rapid adoption of electronic health records (EHRs) has generated tremendous amounts of valuable clinical data on complex diseases and health trajectories. Yet, achieving successful secondary use of this EHR data for ... -
AI FOR MELTDOWN DETECTION IN AUTISM USING WEARABLE SENSORS.
(06-2 , Master Thesis)Autism spectrum disorder is a neurodevelopmental disorder that is associated with many symptoms, such as impairments in social skills, communication, and abnormal behaviors. Children on the spectrum exhibit atypical, ... -
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, ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 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 ... -
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 ...
