تصفح Student Thesis & Dissertations حسب الموضوع "Machine Learning"
السجلات المعروضة 1 -- 7 من 7
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APPLYING VARIOUS MACHINE LEARNING METHODOLOGIES INTO THE FINANCIAL MARKET
(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 ... -
Assessment and Prediction of Body Fat Composition Using A Variety of Machine Learning Algorithms
(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 ... -
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 ... -
HARNESSING MACHINE LEARNING IN CLINICAL DECISION SUPPORT: THEORY AND PRACTICE
(2021 , Dissertation)Decision making is a central activity in all clinical professions. Clinical decisions bear wellbeing and economic risks and consequences for patients, families, employers, and national economies. Thus, clinicians should ... -
Integrated Machine Learning Approaches for Comprehensive Bearing Health Monitoring and Fault Classification Using Multi-Sensory Data
(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 ... -
Machine Learning Prediction of Cancer from The Publicly Available Dataset
(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 ... -
Quality Control and Regulatory Framework for Implementing Machine Learning in Clinical Diagnosis: The DNA Methylation Classifier in Pediatric Brain Tumors
(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 ...