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Data Architecture and Design of in-vivo Neurosurgical Hyperspectral Image Database
(Master thesis, 2022)In recent years, the use of hyperspectral imaging (HSI) for microneurosurgical applications has been introduced. One of the most significant challenge that researchers and neurosurgeons face when developing or applying ... -
Data curation as anticipatory generification in data infrastructure
(Peer reviewed; Journal article, 2023)Data curation is crucial for data reusability. New possibilities for digital data sharing are an urgent concern for data curators, who must keep historical datasets and present data collections always ready to meet unknown ... -
Data Curation as Governance Practice
(Peer reviewed; Journal article, 2020)Data governance is concerned with leveraging the potential value of data in data infrastructures. In IS research, data governance has developed as a management perspective, implying a narrow view of who makes decisions ... -
Data driven case base construction for prediction of success of marine operations
(Journal article; Peer reviewed, 2017)It is a common situation to have lots of recorded data that you want to use for improving a process in your organization or make use of this data to provide new services or products. Starting with one primary data set we ... -
Data Driven Protein Structure Prediction: Development of a SAXS ab initio modeling in a probabilistic inference framework
(Master thesis, 2008)Protein structure prediction is one of the most interesting and researched targets in computational biology. The problem in itself is easily posed: to model the three-dimensional structure of a protein, given its genetic ... -
Data Efficient Deep Reinforcement Learning through Model-Based Intrinsic Motivation
(Master thesis, 2017)In the last few years we have experienced great advances in the field of reinforcement learning (RL), much thanks to deep learning. By introducing deep neural networks in RL it is possible to have agents learn complex ... -
Data Governance i Praksis: Et Casestudie av IT Outsourcing
(Master thesis, 2020)Formålet med denne oppgaven er å kunne se på hvordan data governance utspiller seg i praksis i en IT outsourcing. Ved å opparbeide seg en dypere forståelse for hva som skjer i en outsourcing fra outsourcing-selskapet sitt ... -
Data Hiding by White Modulation in Color Direct Binary Search Halftones
(Journal article; Peer reviewed, 2017)In this article, the authors propose a method for hiding a visual watermark in color printed images with arbitrary, natural content. The embedded watermark is imperceptible under normal illumination, but it is revealed ... -
Data Infrastructures in the Public Sector: A Critical Research Agenda Rooted in Scandinavian IS Research
(Chapter, 2019)Extant Information Systems research emphasizes the strategic benefits of digitalization and value cocreation for business. Less is known, however, about the dynamics of how value is co-created in the digitalization of the ... -
Data preparation and sharing practices: A case of environmental monitoring in Norway
(Master thesis, 2022)Miljødata blir brukt til å informere, begrunne, og evaluere miljøpolitikk. Dermed er det avgjørende at denne dataen både er av høy kvalitet, og at den er presis i sin gjenspeiling av den virkelige verden. Hvordan forskere ... -
Data Protection Fortification: A Data-centric Threat Modeling Method for Development Teams to Assess the Risk of Data Tampering and Support Secure Handling of External Data Sources
(Master thesis, 2022)Datasystemer avhenger av data for å kunne bidra til en bedre situasjonsforståelse, som tillater overvåking av ulike faktorer innen miljø, energi og i industrielle produksjonsmiljøer. Slike datasystemer avhenger ofte av ... -
Data Protection Fortification: A Data-centric Threat Modeling Method for Development Teams to Assess the Risk of Data Tampering and Support Secure Handling of External Data Sources
(Master thesis, 2022)Datasystemer avhenger av data for å kunne bidra til en bedre situasjonsforståelse, som tillater overvåking av ulike faktorer innen miljø, energi og i industrielle produksjonsmiljøer. Slike datasystemer avhenger ofte av ... -
Data Sharing Frames: How Scientists Understand the Work of Sharing Scientific Data
(Chapter, 2023)The curation of data is fundamental to their wider dissemination and use. This paper investigates the frames of workers who perform data curation in scientific contexts. We view data curation as a sense-making practice, ... -
The Data Value Quest: A Holistic Semantic Approach at Bosch
(Journal article; Peer reviewed, 2022)Modern industry witnesses a fast growth in volume and complexity of heterogeneous manufacturing (big) data [1, 2] thanks to the technological advances of Industry 4.0 [1, 3], including development in perception, communication, ... -
Data-centric knowing: A case study of oil exploration in the North Sea
(Doctoral theses at NTNU;2018:344, Doctoral thesis, 2018)This thesis investigates the practice of using large amounts of sensory generated, uncertain data for making prospects of oil and gas reservoirs in the North Sea. The research is based on a 36-month case study of the ... -
A Data-Driven Approach for Determining Weights in Global Similarity Functions
(Peer reviewed; Journal article, 2019)This paper presents a method to discover initial global similarity weights while developing a case-based reasoning (CBR) system. The approach is based on multiple feature relevance scoring methods and the relevance of ... -
Data-driven decision-making and the current state of loyalty programs within retail in Norway
(Master thesis, 2022)Denne oppgaven vil undersøke dagens bruk av lojalitetsprogrammer i Norge, innen handel. Ettersom verden har endret seg til å bli opptatt av data, har også handelssektoren endret seg til å fokusere på data. Fra den tidlige ... -
Data-Driven Machine Learning Approach for Human Action Recognition Using Skeleton and Optical Flow
(Chapter, 2021)Human action recognition is a very challenging problem due to numerous variations in each body part. In this paper, we propose a method for extracting optical flow information from skeleton data to address the problem of ... -
Data-driven Security Game - STIX and Stones
(Master thesis, 2018)In this day and age, the field of information security is becoming more and more important. Developers need to know how to defend against new threats to their system. Unfortunately, the field of information security is not ...