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Articles 1 - 8 of 8
Full-Text Articles in Computer Engineering
Network Management, Optimization And Security With Machine Learning Applications In Wireless Networks, Mariam Nabil
Network Management, Optimization And Security With Machine Learning Applications In Wireless Networks, Mariam Nabil
Theses and Dissertations
Wireless communication networks are emerging fast with a lot of challenges and ambitions. Requirements that are expected to be delivered by modern wireless networks are complex, multi-dimensional, and sometimes contradicting. In this thesis, we investigate several types of emerging wireless networks and tackle some challenges of these various networks. We focus on three main challenges. Those are Resource Optimization, Network Management, and Cyber Security. We present multiple views of these three aspects and propose solutions to probable scenarios. The first challenge (Resource Optimization) is studied in Wireless Powered Communication Networks (WPCNs). WPCNs are considered a very promising approach towards sustainable, …
An Adaptive Hybrid Genetic-Annealing Approach For Solving The Map Problem On Belief Networks, Manar Hosny
An Adaptive Hybrid Genetic-Annealing Approach For Solving The Map Problem On Belief Networks, Manar Hosny
Archived Theses and Dissertations
No abstract provided.
Energy Optimization By Scratchpad Memory Banking For Embedded Systems, Noha Abuaesh
Energy Optimization By Scratchpad Memory Banking For Embedded Systems, Noha Abuaesh
Archived Theses and Dissertations
No abstract provided.
Pervasive Open Spaces: An Intelligent And Scalable Pervasive Environment For Providing Contextual Resource Sharing, Amgad Magdy Madkour
Pervasive Open Spaces: An Intelligent And Scalable Pervasive Environment For Providing Contextual Resource Sharing, Amgad Magdy Madkour
Archived Theses and Dissertations
No abstract provided.
Texture Classification Using Transform Analysis, Mary Fouad Habib
Texture Classification Using Transform Analysis, Mary Fouad Habib
Archived Theses and Dissertations
No abstract provided.
Off-Chain Transaction Routing In Payment Channel Networks: A Machine Learning Approach, Heba Kadry
Off-Chain Transaction Routing In Payment Channel Networks: A Machine Learning Approach, Heba Kadry
Theses and Dissertations
Blockchain is a foundational technology that has the potential to create new prospects for our economic and social systems. However, the scalability problem limits the capability to deliver a target throughput and latency, compared to the traditional financial systems, with increasing workload. Layer-two is a collective term for solutions designed to help solve the scalability by handling transactions off the main chain, also known as layer one. These solutions have the capability to achieve high throughput, fast settlement, and cost efficiency without sacrificing network security. For example, bidirectional payment channels are utilized to allow the execution of fast transactions between …
Stock Markets Performance During A Pandemic: How Contagious Is Covid-19?, Yara Abushahba
Stock Markets Performance During A Pandemic: How Contagious Is Covid-19?, Yara Abushahba
Theses and Dissertations
Background and Motivation: The coronavirus (“COVID-19”) pandemic, the subsequent policies and lockdowns have unarguably led to an unprecedented fluid circumstance worldwide. The panic and fluctuations in the stock markets were unparalleled. It is inarguable that real-time availability of news and social media platforms like Twitter played a vital role in driving the investors’ sentiment during such global shock.
Purpose:The purpose of this thesis is to study how the investor sentiment in relation to COVID-19 pandemic influenced stock markets globally and how stock markets globally are integrated and contagious. We analyze COVID-19 sentiment through the Twitter posts and investigate its …
Enhanced Interest Aware Peoplerank For Opportunistic Mobile Social Networks, Yosra Saad Shahin
Enhanced Interest Aware Peoplerank For Opportunistic Mobile Social Networks, Yosra Saad Shahin
Theses and Dissertations
Network infrastructures are being continuously challenged by increased demand, resource-hungry applications, and at times of crisis when people need to work from homes such as the current Covid-19 epidemic situation, where most of the countries applied partial or complete lockdown and most of the people worked from home. Opportunistic Mobile Social Networks (OMSN) prove to be a great candidate to support existing network infrastructures. However, OMSNs have copious challenges comprising frequent disconnections and long delays. we aim to enhance the performance of OMSNs including delivery ratio and delay. We build upon an interest-aware social forwarding algorithm, namely Interest Aware PeopleRank …