With the ever-increasing complexity of cybersecurity threats and vulnerabilities, the need for efficient and effective vulnerability management solutions tends to be vital. This proposed cybersecurity chatbot seeks to ...

In text retrieval, full-text search refers to techniques for searching a single computer stored document or a collection in a database. In a full-text search, a search engine examines all the words in every stored document ...

The aim of this thesis is to provide a comprehensive review of the current state of the art in detecting bots active on the social media platform of Twitter through the use of machine learning algorithms. Bots can be ...

This master thesis explores the application of Deep Metric Learning (DML) in the context of audio data representations. DML is a technique that leverages deep neural networks to automatically learn hierarchical representations ...

This thesis explores the critical role of deep space communication systems and technologies in enabling successful space exploration and scientific discovery. In addition, this work contributes to the understanding of ...

The Sun’s surface is very dynamic, even on periods of weak solar activity, producing a variety of magnetic structures, amongst them structures that can cause plasma to exhibit vortex-like motions. These so-called solar ...

Job advert aggregators gather millions of adverts every single day, by scraping job boards and various other sources across the globe. Aggregators are getting visited by millions of active job seekers every day, that ...

Air pollution and air quality are major issues concerning a big part of Earth’s population. In order to address these issues, among others, a global agenda called “Sustainable Development Goals “was established. Under goal ...

During the last decades, in the area of machine learning and data mining, the development of ensemble methods has gained significant attention from the scientific community. Machine learning ensemble methods combine ...