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السجلات المعروضة 1 -- 8 من 8
APPLYING VARIOUS MACHINE LEARNING METHODOLOGIES INTO THE FINANCIAL MARKET
(Electrical Engineering, 2022 , Master Thesis)
The modernization of the financial market, with the introduction of the internet, made it easier for the average, everyday people, around the world to invest in the plentiful trading assets in the market. This created a ...
Quality Control and Regulatory Framework for Implementing Machine Learning in Clinical Diagnosis: The DNA Methylation Classifier in Pediatric Brain Tumors
(Biomedical Sciences, 2024 , Master Thesis)
Background:
Accurately diagnosing CNS tumors is essential but difficult, with a notable risk of errors. To enhance diagnostic precision, the WHO now combines molecular data with traditional methods. While AI and ML ...
Assessment and Prediction of Body Fat Composition Using A Variety of Machine Learning Algorithms
(Applied Sciences, 2023 , Master Thesis)
Body composition is critical for health outcomes and has been researched in various populations and conditions like obesity, diabetes, and many more. Qatar Biobank collected anthropometric and biomedical data from individuals ...
Machine Learning Prediction of Cancer from The Publicly Available Dataset
(Biomedical Sciences, 2024 , Master Thesis)
Prostate cancer in the second most common cause of cancer in men around the world and in Qatar with a high incidence rate worldwide. This has resulted in an increased mortality rate, making prostate cancer a healthcare ...
Integrated Machine Learning Approaches for Comprehensive Bearing Health Monitoring and Fault Classification Using Multi-Sensory Data
(Mechanical Engineering, 2024 , Master Thesis)
Modern industries heavily rely on machines equipped with rolling-element (RE) bearings. However, these machines face substantial risks due to potential bearing faults, where even minor defects can lead to catastrophic ...
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 ...
AI-EMPOWERED UAVS FOR RAPID DISASTER RESPONSE AND MANAGEMENT
(Computer Science and Engineering, 2024 , Master Thesis)
Efficient disaster response and survivor detection are essential in minimizing casualties and mitigating the impact of disastrous events. This thesis presents an innovative approach to addressing these challenges through ...
Features Ranking Techniques for Single Nucleotide Polymorphism Data
(Engineering-Computer Science, 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 ...