TKD - Institutt for informasjonsteknologi: Recent submissions
Now showing items 41-60 of 955
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Exchange-only virial relation from the adiabatic connection
(Peer reviewed; Journal article, 2024)The exchange-only virial relation due to Levy and Perdew is revisited. Invoking the adiabatic connection, we introduce the exchange energy in terms of the right-derivative of the universal density functional w.r.t. the ... -
Social Web in IoT: Can Evolutionary Computation and Clustering Improve Ontology Matching for Social Web of Things?
(IEEE Transactions on Computational Social Systems;, Peer reviewed; Journal article, 2023)Many Internet of Things (IoT) applications can benefit from Social Web of Things (S-WoT) methods that enable knowledge discovery and help solving interoperability problems. The semantic modeling of S-WoT is the main emphasis ... -
Unsupervised State Representation Learning in Partially Observable Atari Games
(Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)State representation learning aims to capture latent factors of an environment. Although some researchers realize the connections between masked image modeling and contrastive representation learning, the effort is focused ... -
Solving the Lunar Lander Problem with Multiple Uncertainties using a Deep Q-Learning based Short-Term Memory Agent
(Chapter, 2024)Efficient space travel requires intelligent and robust control mechanisms during spacecraft landing scenarios. Developing a control mechanism for a rocket trajectory problem is inherently complex. This paper introduces ... -
CELLULAR, A Cell Autophagy Imaging Dataset
(Peer reviewed; Journal article, 2023)Cells in living organisms are dynamic compartments that continuously respond to changes in their environment to maintain physiological homeostasis. While basal autophagy exists in cells to aid in the regular turnover of ... -
Co-Creatives Spaces: The machine as a collaborator
(Chapter, 2023)People have always used new technology to experiment with new forms of music creation. However, the latest devel- opments in artificial intelligence (AI) suggest that machines are on the verge of becoming more than mere ... -
Mask-conditioned latent diffusion for generating gastrointestinal polyp images
(ICDAR: Intelligent Cross-Data Analysis and Retrieval;, Chapter; Peer reviewed; Conference object, 2023)In order to take advantage of artificial intelligence (AI) solutions in endoscopy diagnostics, we must overcome the issue of limited annotations. These limitations are caused by the high privacy concerns in the medical ... -
Situational Disabilities in Information Systems for Situational Awareness in Flood Situations in Nigeria
(IFIP Advances in Information and Communication Technology;, Chapter; Peer reviewed; Conference object; Journal article, 2023)Floods are one of the major natural disasters that contribute to the high disaster death rate in the global south, especially in Nigeria. This requires an effort of collaboration from all stakeholders in designing, building, ... -
Exploring AI Literacy Among Older Adults
(Peer reviewed; Journal article, 2023) -
TRANSQLATION: TRANsformer-based SQL RecommendATION
(IEEE International Conference on Big Data;, Chapter; Peer reviewed; Conference object, 2023)The exponential growth of data production emphasizes the importance of database management systems (DBMS) for managing vast amounts of data. However, the complexity of writing Structured Query Language (SQL) queries requires ... -
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring
(Peer reviewed; Journal article, 2023)Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathematical mappings via machine learning (ML). ... -
Semantic Cloud System for Scaling Data Science Solutions for Welding at Bosch
(Peer reviewed; Journal article, 2023)Background and Challenges. Industry 4.0 focuses on smart factories that rely on IoT tech- nology for automation. This produces massive amounts of production data, increasing the demand for data-driven solutions and cloud ... -
Datalog with External Machine Learning Functions for Automated Cloud Resource Configuration
(Peer reviewed; Journal article, 2023)Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges. In that context, distributed computing solutions such as cloud systems are ... -
COCO: an annotated Twitter dataset of COVID-19 conspiracy theories
(Peer reviewed; Journal article, 2023)The COVID-19 pandemic has been accompanied by a surge of misinformation on social media which covered a wide range of different topics and contained many competing narratives, including conspiracy theories. To study such ... -
A Taxonomy for Cloud Storage Cost
(Communications in Computer and Information Science (CCIS);, Chapter; Peer reviewed; Conference object; Journal article, 2024)The cost of using cloud storage services is complex and often an unclear structure, while it is one of the important factors for organisations adopting cloud storage. Furthermore, organisations take advantage of multi-cloud ... -
Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring
(Computer;, Peer reviewed; Journal article, 2023)Diagnosing, treatment, and follow-up care of patients is happening increasingly through telemedicine, especially in remote areas where direct interaction is hindered. Over the past three years, following the COVID-19 ... -
Enhancing investigative interview training using a child avatar system: a comparative study of interactive environments
(Peer reviewed; Journal article, 2023)The impact of investigative interviews by police and Child Protective Services (CPS) on abused children can be profound, making effective training vital. Quality in these interviews often falls short and current training ... -
Household Energy Consumption Prediction: A Deep Neuroevolution Approach
(Chapter, 2023)Accurate energy consumption prediction can provide insights to make better informed decisions on energy purchase and generation. It also can prevent overloading and make it possible to store energy more efficiently. In ... -
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
(Peer reviewed; Journal article, 2024)Polyps are well‑known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal ... -
ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER
(IEEE Annual International Computer Software and Applications Conference (COMPSAC);, Chapter; Peer reviewed; Conference object, 2023)Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks. NER aims to identify entities in a sentence and provide their types. However, the ...