This project involves designing and evaluating a supervised machine-learning-based intrusion detection system (IDS) using the CIC-IDS2017 dataset.The project is structured around the cross-industry standard process for data mining (CRISP-DM) framework.The data…
A vital component in ensuring network security is an Intrusion Detection System (IDS), and classical Machine Learning (ML) models often struggle to keep pace with sophisticated cyber threats. Quantum Computing, a probabilistic computational class utilising the…
This thesis examines the cybersecurity and privacy implications of Explainable Artificial Intelligence (XAI) methods in selected Machine Learning (ML) models. The study focuses on whether post-hoc explainability methods can expose sensitive information from he…
Insurance fraud is a significant problem that causes financial losses for insurance companies and higher prices for honest customers. Machine learning has been widely used in insurance fraud detection systems. However, fraudulent claims often represent only a…
A previsão de séries temporais é uma tarefa crítica em muitos setores, particularmente no setor financeiro. Neste setor a previsão de cashflow é indispensável, uma vez que permite a uma empresa planear e gerir as entradas e saídas de dinheiro de uma forma efic…
Machine learning models have been extensively used for forecasting inflation in individual countries, yet the number of studies focusing on the euro area is comparatively lower. The objective of this thesis is to compare the out-of-sample forecast performance…
This dissertation investigates how modern machine learning (ML) methods, with a particular focus on multi-task learning (MTL) frameworks, can enhance forecasts in financial and macroeconomic contexts. Chapter 1 outlines the limitations of traditional econometr…
Magistrsko delo obravnava področje analize sentimenta z uporabo strojnega učenja in obdelave naravnega jezika. Namen dela je razviti model, ki bi bil sposoben analizirati sentiment besedil, pridobljenih s spletnih platform, zlasti z družbenega omrežja X (prej…
Predictive maintenance was recently introduced as a paradigm shift in the field of smart manufacturing, and it allows organizations to predict equipment failures and streamline maintenance planning based on the data-driven insights. The present work addresses…
Early diagnosis of Cardiovascular diseases (CVD) remains essential because these diseases represent the main global reason for mortality and disease incidents. Traditional ECG analysis methods struggle to identify minor and intricate abnormalities within exten…
This dissertation explores machine learning approaches for the automatic classification of neurological gait disorders and the detection of falls in older adults. Using EMG and wearable sensor data, the study evaluates multiple machine learning algorithms and…
This thesis explores the challenges presented by label noise in machine learning (ML) for health. Label noise is unavoidable in real-world data; it can arise from variability in measurement, human annotation errors, and aleatoric uncertainty in the ground trut…
أنا مساعد المستودع. اسألني عن الرسائل والأطاريح حسب الموضوع أو الجامعة أو الدولة أو السنة أو الدرجة، أو اطلب أعداداً وإحصاءات.
يجيب من قاعدة بيانات المستودع فقط، ولا يخترع سجلات أو أرقاماً. لا يُحفظ ما تكتبه على الخادم.
قد يخطئ المساعد أحياناً، فراجع المصادر المرفقة.
