غير محددة في المصدر
2024 بحاجة إلى مراجعة
غير محددة في المصدر
2024 بحاجة إلى مراجعة
متاح
Essays on forecasting time series with machine learning techniques
This dissertation consists of three essays on forecasting time series with machine learning techniques, delving into different financial and economic domains.The first essay investigates the forecasting accuracy of the S&P 500 stock market index during the pan…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
متاح
Machine learning model for predictive maintenance on linear accelerators
Predicting machine failures is the next frontier in industrial machine maintenance.However, the ideal implementation of such a program will require the fitting of industrial machines with sensors that can constantly monitor a machine's vital parameters while f…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
متاح
Predictive maintenance for software systems using machine learning
غير محددة في المصدر
2024 بحاجة إلى مراجعة
متاح
Towards Practical Applications of Machine Learning in Healthcare with Federated Learning
Federated Learning (FL) has emerged as a significant tool in healthcare machine learning, enabling institutions to collaboratively train models while maintaining data privacy. This dissertation describes the implementation of a real-world healthcare FL project…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
GenVRAD: dataset generator for machine learning detection of vehicle-roadside attacks : a thesis in Computer Engineering
Autonomous vehicles are gaining popularity rapidly for transportation safety and efficiency. However, to achieve fully automated driving without human intervention, cars need to be aware of traffic and environmental dynamics. One key component of their awarene…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
Machine learning-based angle-of-arrival estimation of RF signals: a thesis in Electrical Engineering
This thesis presents a comprehensive study on angle of arrival (AoA) estimation techniques for spectrum sharing in next-generation (NextG) wireless communication systems. The investigation encompasses signal processing methods, including multiple signal classi…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
Machine learning for predictive resilience modeling: a thesis in Computer Engineering
Resilience engineering studies the ability of a system to survive and recover from disruptive events, which finds applications in several domains. Most studies emphasize resilience metrics to quantify system performance, whereas recent studies propose statisti…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
Machine Learning Algorithms for Computer-aided Diagnosis of Myocardial Infarction from 2D Echocardiography and COVID-19 from Chest X-rays
The importance of e-health has drastically increased as the world has engaged sharply in the digital world, which provoked computer-aided diagnosis (CAD) algorithms to become a necessity for accurate and automatic detection and differential diagnosis of variou…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
متاح
Performance comparison of traditional machine learning and deep learning methods in plant disease detection
Geleneksel makine öğrenmesi (GMÖ) ve derin öğrenme (DÖ), yapay zeka alanında iki önemli yaklaşımdır. GMÖ, tahmine dayalı modeller oluşturmak için destek vektör makineleri (DVM), k-en yakın komşular, karar ağaçları gibi çeşitli algoritmalar kullanır. Bu yaklaşı…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
Advancing heat stress detection in dairy cows through machine learning and computer vision
Heat stress detection in dairy cows has long been connected with production loss. However, the reduction in milk yield lags behind the exposure to heat stress events for about two days. Other stress responses, such as physiological and behavioural changes, are…
غير محددة في المصدر
2024 بحاجة إلى مراجعة
Comparative analysis of the efficacy of machine learning models in detecting cancer from medical imagery: a thesis in Computer Science
According to a study performed by John Hopkins Medicine in 2023, misdiagnoses make up approximately 11.1% of total diagnoses in the United States, which result in anything from minor to fatal error for the patient. One of the main contributors to this unfortun…
