• Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks 

  Catak, Ferhat Özgur; Kuzlu, Murat; Tang, Haolin; Evren, Catak; Zhao, Yanxiao (Peer reviewed; Journal article, 2022-09-14)

  Next-generation communication networks, also known as NextG or 5G and beyond, are the future data transmission systems that aim to connect a large amount of Internet of Things (IoT) devices, systems, applications, and ...

• Fact Checking using Knowledge Bases 

  Khurshid Adil; Ramesh Apoorva (Master thesis, 2022)

  In today’s society, the spread of incorrect information is becoming an increasingly serious issue. Verifying information using unstructured data, such as a text corpus, can be difficult for all claims since they lack ...

• Fact-Checking using Knowledge bases 

  Ramesh, Apoorva; Khurshid, Adil (Master thesis, 2022)

  In today's society, the spread of incorrect information is becoming an increasingly serious issue. Verifying information using unstructured data, such as a text corpus, can be difficult for all claims since they lack ...

• Visual construction of OTTR Templates 

  Hassen Mohammed Ousman (Bachelor thesis, 2022)

  Abstract This thesis describes a Reasonable ontology template and the way of visualization. And also explains current Reasonable ontology template(OTTR) management and suggests a preferable and easy solution.In today’s ...

• Using various Natural Language Processing Techniques to Automate Information Retrieval 

  Tesfay, Tsegazab (Master thesis, 2022)

  The existence of Natural Language Processing(NLP) provides numerous benefits, including the understanding and analysis of unstructured data, as well as the efficient and precise automation of real-time processes. Despite ...

• QuickFeed Security: Redesigned Authentication and Authorization Architecture. 

  Yaseneva Vera (Master thesis, 2022)

  QuickFeed (former Autograder) is a software project developed at the University of Stavanger. The application performs automated grading of coding assignments and provides nearly instant feedback to the students in programming ...

• Fairness and Interpretability in Machine Learning Models 

  Weinbach, Bjørn Christian (Master thesis, 2022)

  Machine Learning has become more and more prominent in our daily lives as the Information Age and Fourth industrial revolution progresses. Many of these machine learning systems are evaluated in terms of how accurately ...

• Privacy-Preserving Machine Learning for Health Institutes 

  Wibawa, Febrianti (Master thesis, 2022)

  Medical data is, due to its nature, often susceptible to data privacy and security concerns. The identity of a person can be derived from medical data. Federated learning, one type of machine learning technique, is popularly ...

• Proving Redundancy In Decentralized Storage Networks 

  Bohua Jia (Master thesis, 2022)

  Proof of Storage (PoS) is a scheme that proves the data is stored honestly. PoS is the general term for a collection of related proofs. Such as proof of retrievability and proof of data possession. In recent years, various ...

• Smart Building Data Collection and Ventilation System Energy Prediction 

  Jakobsen, Aleksander Bogunovic; Kinstad, Unni Johanna Blilie (Master thesis, 2022)

  Data has the potential to transform our environments for the better if utilized to its full potential. A highly interesting use case of data is in relation to Smart Buildings, where IoT technology presents new possibilities. ...

• Reinforcement Learning 

  Karooni, Ali (Master thesis, 2022)

  Electricity prices have risen significantly year on year and reducing energy use in homes can save money, improve energy security and reduce pollution from non-renewable energy sources. Whether to lower the monthly ...

• Using TextGAN to generate news improve the fake news discriminator based on generated news 

  Sheikholeslami, Seyed Mehdi (Master thesis, 2022)

  In recent years, GAN has been a fascinating topic. GAN is unsupervised monitoring used in similar fields to produce images and text. In this Thesis, GAN models generate and correct textual data. Also, it is utilized to ...

• Improving Prostate Cancer Diagnostic Pathway With A Multi-Parametric Generative Self-Supervised Approach 

  Andersen, Christoffer Gabrielsen (Master thesis, 2022)

  Prostate Cancer (PCa) is a disease characterized by uncontrolled growth of cells within the prostate gland located in the male reproductive system. In 2020 1.4 million new cases and 375 thousand deaths worldwide from PCa ...

• Real time click detection for Cardiopulmonary Resuscitation (CPR) Training with MiniAnne 

  Prava Thapa (Master thesis, 2022)

• Improving Prostate Cancer Diagnostic Pathway with Transformers and a Generative Self-Supervised Approach 

  Thomassen, Øystein Sunde (Master thesis, 2022)

  Prostate cancer is the second most occurring cancer and the sixth leading cause of cancer among men worldwide. The number of cases are expected to increase due to population growth and increase in expected lifetime. The ...

• Interactive Graph-Based Visualisation and Veracity Prediction of Scientific COVID-19 Claims 

  Skavhaug, Mathias (Master thesis, 2022)

  Claims presented as facts and other misinformation have become a bigger problem in recent times, especially during the COVID-19 pandemic, which gave rise to a large amount of misinformation, deemed the "infodemic". Therefore, ...

• ARDENT - An Augmented Reality Framework for Education 

  Jørgensen, Ove Kristian; Sørensen, Marius (Master thesis, 2022)

  Virtual Reality (VR) in education and medicine has been a widely researched area. Increase in motivation and learning gain is demonstrated to be directly related to introduction of VR applications. However, the necessity ...

• Knowledge Representation and Reasoning for Adaptive Learning 

  Zahra Hosseinzadeh (Master thesis, 2022)

  There are a variety of problems in the way that adaptive learning (personalized learning platform) is presented information at the moment, Sql language is a field of knowledge that includes several topics and involves a ...

• Context Modeling for User Simulation for Conversational Information Access 

  Afzali, Jafar; Drzewiecki, Aleksander Mark (Master thesis, 2022)

  Conversational Information Access systems are systems that help satisfy the information needs of their users via multi-turn conversations. These systems are different from traditional information access systems as they can ...

• Applications of machine learning in petroleum system characterization using mud gas data 

  Ourir, Akram (Master thesis, 2022)

  Mud gas data are continuous measurements of the different compounds of the gas released from the formation while drilling. While these data are cheap and extensive, as they are always recorded for safety reasons, they are ...

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