• Applications of LLMs for Generating Cyber Security Exercise Scenarios 

  Yamin, Muhammad Mudassar; Hashmi, Ehtesham; Ullah, Mohib; Katt, Basel (Peer reviewed; Journal article, 2024)

  This study proposes a novel approach leveraging Large Language Models (LLMs) to generate dynamic and complex adaptable cybersecurity exercise scenarios. Motivated by Turing’s seminal exploration into machine cognition, ...

• Co-designing the integration of voice-based conversational AI and web augmentation to amplify web inclusivity 

  Pucci, Emanuele; Piro, Ludovica; Possaghi, Isabella; Mulfari, Davide; Matera, Maristella (Peer reviewed; Journal article, 2024)

  The Web has become an essential resource but is not yet accessible to everyone. Assistive technologies and innovative, intelligent frameworks, for example, those using conversational AI, help overcome some exclusions. ...

• Metadata augmented deep neural networks for wild animal classification 

  Tøn, Aslak; Ahmed, Ammar; Imran, Ali Shariq; Ullah, Mohib; Azad, R. Muhammad Atif (Peer reviewed; Journal article, 2024)

  Camera trap imagery has become an invaluable asset in contemporary wildlife surveillance, enabling researchers to observe and investigate the behaviors of wild animals. While existing methods rely solely on image data for ...

• Information based explanation methods for deep learning agents—with applications on large open-source chess models 

  Hammersborg, Patrik; Strumke, Inga (Peer reviewed; Journal article, 2024)

  With large chess-playing neural network models like AlphaZero contesting the state of the art within the world of computerised chess, two challenges present themselves: the question of how to explain the domain knowledge ...

• Teaching urban sensing skills - experiences from a summer school 

  Håtveit, Åse; Mora, Simone; Venverloo, Titus; Duarte, Fábio; Divitini, Monica (Peer reviewed; Journal article, 2024)

• AI-Assisted Agile Project Management - On the feasibility of adopting Generative AI for backlog refinement - An exploratory case study 

  Oftebro, Kasper Lien (Master thesis, 2025)

  Effektiv håndtering av backloger er avgjørende for å sikre at utviklingsteam holder seg i tråd med skiftende krav og forventninger fra interessenter. Men etter hvert som produktbacklogger vokser i omfang og kompleksitet, ...

• An Evaluation of Scalable Data Partitioning Algorithms 

  Lindstad, Marit (Master thesis, 2025)

  Mange datasystemer vokser i både etterspørsel og størrelse og medfører økt behov for effektive partisjoneringsmetoder som sikrer skalerbarhet, feiltoleranse og lastbalanse. Oppgaven evaluerer "consistent hashing"-metoder ...

• Patents and Public Health: State Responsibility to Opt for a Balanced Approach 

  Butt, Saima; Shaukat, Kamran; Alam, Talha Mahboob; Jan, Tony (Peer reviewed; Journal article, 2024)

  The topic of public health is indispensable to talk about. It is essential to discuss new inventions, new and improved treatments, and their efficiencies with different combinations, but one thing that is important to ...

• A Novel Method for the Enhancement of Sunflower Growth from Animal Bones and Chicken Feathers 

  Laila, Ume; ul Huda, Mishkat; Shakoor, Isha; Nazir, Aisha; Shafiq, Muhammad; e Bareen, Firdaus; Shaukat, Kamran; Alam, Talha Mahboob (Peer reviewed; Journal article, 2024)

  The present study aimed at converting meat industry waste, particularly waste bones and chicken feathers, into biochar to recycle valuable nutrients present in it, which ultimately become part of the municipal waste. The ...

• Advancing Emotional Health Assessments: A Hybrid Deep Learning Approach Using Physiological Signals for Robust Emotion Recognition 

  Awan, Amna Waheed; Taj, Imran; Khalid, Shehzad; Usman, Syed Muhammad; Imran, Ali Shariq; Akram, Muhammad Usman (Peer reviewed; Journal article, 2024)

  Emotional health significantly impacts physical and psychological well-being, with emotional imbalances and cognitive disorders leading to various health issues. Timely diagnosis of mental illnesses is crucial for preventing ...

• Sustainability in IT education A game-based approach 

  Gangstø, Benedicte Helen; Divitini, Monica (Journal article; Peer reviewed, 2024)

  nformation Technology (IT) has a critical role in supporting sustainable development. However, there are also various ways in which IT contributes negatively to it. Despite the ever-growing need for IT professionals qualified ...

• A hybrid approach of vision transformers and CNNs for detection of ulcerative colitis 

  Shah, Syed Abdullah; Taj, Imran; Usman, Syed Muhammad; Hassan Shah, Syed Nehal; Imran, Ali Shariq; Khalid, Shehzad (Peer reviewed; Journal article, 2024)

• Concurrent compression and meaningful encryption of images using chaotic compressive sensing 

  Ashwini, K.; Sutha, S.; S, Sountharrajan; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2024)

• Spectral Reflectance Estimation from Camera Response Using Local Optimal Dataset and Neural Networks 

  Tominaga, Shoji; Sakai, Hideaki (Peer reviewed; Journal article, 2024)

  In this study, a novel method is proposed to estimate surface-spectral reflectance from camera responses that combine model-based and training-based approaches. An imaging system is modeled using the spectral sensitivity ...

• Assessment of Pepper Robot’s Speech Recognition System through the Lens of Machine Learning 

  Pande, Akshara; Mishra, Deepti (Peer reviewed; Journal article, 2024)

  Speech comprehension can be challenging due to multiple factors, causing inconvenience for both the speaker and the listener. In such situations, using a humanoid robot, Pepper, can be beneficial as it can display the ...

• Towards minimizing efforts for Morphing Attacks—Deep embeddings for morphing pair selection and improved Morphing Attack Detection 

  Kessler, Roman; Raja, Kiran; Tapia, Juan; Busch, Christoph (Peer reviewed; Journal article, 2024)

  Face Morphing Attacks pose a threat to the security of identity documents, especially with respect to a subsequent access control process, because they allow both involved individuals to use the same document. Several ...

• Key elements, processes and research gaps in city learning as an innovation ecosystem: A scoping review 

  Banerjee, Pradipta; Petersen, Sobah Abbas (Journal article; Peer reviewed, 2024)

  Learning in cities with the support of Information and Communication Technologies has been a point of interest for researchers. The main objective of this study is to understand city learning, or learning in cities, where ...

• ProTect: a hybrid deep learning model for proactive detection of cyberbullying on social media 

  Nitya Harshitha, Harshitha; Prabu, M.; Suganya, E.; Sountharrajan, S.; Bavirisetti, Durga Prasad; Gadde, Navya; Uppu, Lakshmi Sahithi (Peer reviewed; Journal article, 2024)

• The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review 

  Bibri, Simon Elias; Huang, Jeffrey; Jagatheesaperumal, Senthil Kumar; Krogstie, John (Journal article; Peer reviewed, 2024)

  The dynamic landscape of sustainable smart cities is witnessing a significant transformation due to the integration of emerging computational technologies and innovative models. These advancements are reshaping data-driven ...

• STAR-3D: A Holistic Approach for Human Activity Recognition in the Classroom Environment 

  Sharma, Vijeta; Gupta, Manjari; Kumar, Ajai; Mishra, Deepti (Peer reviewed; Journal article, 2024)

  The video camera is essential for reliable activity monitoring, and a robust analysis helps in efficient interpretation. The systematic assessment of classroom activity through videos can help understand engagement levels ...

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