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STRONG MARKET-MAKING USING DEEP REINFORCEMENT LEARNING: BITCOIN MARKET ANALYSIS
(Computer Science and Engineering, 2024 , Master Thesis)
This study evaluates the use of deep reinforcement learning (DRL) in market-making, specifically in the Bitcoin market. DRL has shown promise in providing robust market-making capabilities, including enhanced market liquidity ...
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 ...
DID I SEE IT BEFORE? RETRIEVING PREVIOUSLY CHECKED CLAIMS OVER TWITTER
(Computing, 2022 , Master Thesis)
With the proliferation of fake news in the last few years, especially during COVID-
19, combating the spread of misinformation has become a social and political urgent
need. Fact-checkers and journalists need to identify ...
IMPROVING INTERNET OF THINGS NETWORK STABILITY USING A HIERARCHICAL HYPERLEDGER FABRIC MODEL
(Computing, 2023 , Master Thesis)
Smart contracts in the blockchain have enabled the technology to find its way beyond the financial uses in which it originally operated. As such, it has quickly found its way into the Internet of Things (IoT) networks, ...
Ensuring Quality of Service in Blockchain-Based Healthcare System
(Computing, 2020 , Master Thesis)
Blockchain is a distributed secure ledger that eliminates the need for centralized authority to store data. It provides decentralized, secure and trustless framework that does not require a third party for transaction ...
Client-based confidential data sharing using untrusted clouds
(Computing, 2021 , Master Thesis)
Cloud storage has been used widely by organizations and individuals. However, using known cloud providers is not a solution that can fit the needs of many entities that need to store private and sensitive data. This is due ...
Diabetic Reinopathy Classification using Deep Learning
(Computing, 2020 , Master Thesis)
With diabetes growing at an alarming rate, changes in the retina of diabetic patients causes a condition called diabetic retinopathy which eventually leads to blindness. Early detection of diabetic retinopathy is the best ...