Title: Machine Learning for Credit Scoring Author: Elena Myazina Department / Institute: Department of Theoretical Computer Science and Mathematical Logic Supervisor of the master thesis: Mgr. Martin Pilát, Ph.D, Department of Theoretical Computer Science and…
Modern manufacturing is progressing towards Industry 4.0 and Robotics 4.0, which puts the industrial robots in the focus of contemporary manufacturing. These sophisticated robots keep on producing multi-sensor rich data, which depicts their internal kinematics…
Diagnosis of pneumonia from Chest X-Ray images holds a significant place in clinical practice due to its low cost and widespread availability. However, achieving high performance with deep learning-based methods generally requires a large amount of labeled dat…
Self-supervised learning (SSL) has shown promise for extracting useful representations from unlabelled tabular data, but recent work has found that SSL embeddings do not improve unsupervised anomaly detection. This thesis investigates whether these limitations…
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…
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 comprehensive evaluation benchmarks Large Language Models with traditional machine learning algorithms for automatic news classification is done on three standard news classification datasets: BBC News, 20 Newsgroups, and AG News. We implement traditional mo…
Breast cancer is one of the most prevalent cancers globally and remains a leading cause of death among women. While mammography helps detect existing abnormalities, it offers limited insight into the future risk of developing cancer. This highlights the need f…
Machine learning is no longer limited to low-risk tasks, but it is also being used in critical decision-making systems. Consequently, machine learning has a direct effect on individuals' lives in domains such as recidivism prediction (COMPAS) and loan approval…
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…
Connected and Autonomous Vehicle (CAV), a.k.a. driverless car, provides a solution to safety and efficiency in surface transportation. Yet, CAV technology introduces new security risks beyond the standard vehicle vulnerabilities. Machine Learning (ML) promises…
Computer science is a growing field and machine learning is a growing area withincomputer science. The development of various machine learning algorithms that have beencreated has been diverse. Using WEKA, the study used the mammography dataset to examinemachi…
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.
