Literature Studies performed by MSc students In the context of course  Literature study and Seminar

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1. Digital Twins in Networks, 2024 [pdf]

2. GPT-3.5 and RAG Based Query-Answer System, 2024 [pdf]

3. Visualizer for Interactive Sketching. 2024 [pdf]

4. Ethical Considerations in the Application of AI in Medical Research [pdf]

5. Modern Data Engineering, 2024 [pdf]

6. Cloud-Edge computing 2024 [pdf]

7. Enforcing software policies, 2023 [pdf]

8. Technical Challenges and Opportunities in Explainable Artificia Intelligence: A Survey, 2023 [pdf]

9. Personalized cancer vaccine design: A Literature Review, 2023 [pdf]

10. Uncover the Secrets of PKCE: Elevating OAuth2.0 for security of native clients, 2023 [pdf]

11. Social Network Analysis Applied to Research Collaboration, 2023 [pdf]

12. Performance Modeling of Spark: An overview, 2023 [pdf]

13. Literature Research: Function as a Service and Serverless Computing in the Cloud industry, 2022 [pdf]

14. A Review of AI-based Resource Allocation Approaches in Cloud Environments, 2022 [pdf]

15. The Semantic Web Status: A Literature Review, 2022 [pdf]

16. Event Stream Processing: A Literature Review [pdf]

17. Collaborative Machine Learning-Driven Internet of Medical Things - A Systematic Literature Review [pdf]

18. Privacy Attacks Against Generative Models, 2022 [pdf]

19. Survey on Privacy Protection in Federated Learning, 2022 [pdf]

20. Machine Learning in Production: A Literature Review, 2021 [pdf]  

21. Osmotic Computing Literature Studdy, 2021 [pdf]

22. Privacy Preserving Machine Learning-Based Methods for Synthetic Data Generation: A Survey and Review. 2020 [pdf]

23. Inference and Extraction Attacks on Machine Learning Models: A Review 2020 [pdf]

24. Neural_Networks for Neutrino Detection [pdf​]

25. MLOps and data versioning in machine learning project, 2020 [pdf]

26. Protocol for a Systematic Literature Review on Scaling up Machine Learning,2019 [pdf]

27. Scalable Machine Learning with Focus on Deep Learning, 2019 [pdf]

28. Technical Analysis of the Blockchain and the Cryptocurrency Market, 2018 [pdf]

29. Distributed file systems: a current overview and future outlook, 2018 [pdf]

30. Protocol for a Systematic literature review on distributed data management in Machine learning systems, 2018 [pdf]

31. Spark: Past, Present and Future, 2017 [pdf]

32. Virtual machine and Docker container: a different approach to Virtualization,2017 [pdf]

33. Battle of the big data,2016  [pdf]

34. Literature_studies_Course_Web_Service_and_Cloud_Systems_2022-2023 [pdf​]

35. Literature_studies_Course_Web_Service_and_Cloud_Systems_2021-2022 [pdf​]

36. Literature_studies_Course_Web_Service_and_Cloud_Systems_2020-2021 [pdf​]

37. Literature_Studies_Course_Web_Service_and_Cloud_Systems_2019-2020 [pdf]

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