Institutt for datateknologi og informatikk
Recent Submissions
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Using Data Augmentation on Small Datasets to Improve Object Detection Accuracy
(Master thesis, 2021)Denne oppgaven bruker tre små datasett og augmenterer dem til flere datasett ved bruk av rotasjon, utydeliggjøring, lys og farge, mosaikk og cutout. Disse augmenterte datasettene blir deretter testet om de er bedre for ... -
Sparse factorization of square matrices with application to neural attention modeling
(Peer reviewed; Journal article, 2022)Square matrices appear in many machine learning problems and models. Optimization over a large square matrix is expensive in memory and in time. Therefore an economic approximation is needed. Conventional approximation ... -
Compact city Planning and Development: Emerging Practices and Strategies for Achieving the Goals of Sustainability
(Peer reviewed; Journal article, 2020)The compact city is one of the leading paradigms of sustainable urbanism. Compact city planning and development has, over the last 30 years or so, been the preferred response to the challenges of sustainable development. ... -
Sustainability inclusion in informatics curriculum development
(Peer reviewed; Journal article, 2020)Background: Presently, sustainability is a crucial issue for human beings due to many disasters owing to climate change. Information Technology (IT) is now part of everyday life in society due to the proliferation of gadgets ... -
Hiding in plain sight: Directed surveillance as a bodily practice
(Peer reviewed; Journal article, 2020)In this article, we empirically explore directed surveillance as bodily practice—material bodies observing other material bodies. Such low-tech police surveillance practice (Haggerty 2012) relies on a police officer’s body ... -
Bloom’s Learning Outcomes’ Automatic Classification Using LSTM and Pretrained Word Embeddings
(Peer reviewed; Journal article, 2021)Bloom’s taxonomy is a popular model to classify educational learning objectives into different learning levels for three domains including cognitive, affective and psycho motor. Each domain is further detailed into different ... -
Liver Activation of Hepatocellular Nuclear Factor-4α by Small Activating RNA Rescues Dyslipidemia and Improves Metabolic Profile
(Peer reviewed; Journal article, 2020)Non-alcoholic fatty liver disease (NAFLD) culminates in insulin resistance and metabolic syndrome. Because there are no approved pharmacological treatment agents for non-alcoholic steatohepatitis (NASH) and NAFLD, different ... -
Environmentally Data-Driven Smart Sustainable Cities: Applied Innovative Solutions for Energy Efficiency, Pollution Reduction, and Urban Metabolism
(Peer reviewed; Journal article, 2020)The IoT and big data technologies have become essential to the functioning of both smart cities and sustainable cities, and thus, urban operational functioning and planning are becoming highly responsive to a form of ... -
Climate change opinions in online debate sites
(Peer reviewed; Journal article, 2020)Debate sites in social media provide a unified platform for citizens to discuss controversial questions and to put forward their ideas and arguments on the issues of common interest. Opinions of citizens may provide useful ... -
A digital decision support system (selfBACK) for improved self-management of low back pain: a pilot study with 6-week follow-up
(Peer reviewed; Journal article, 2020)Background Very few of the publicly available apps directed towards self-management of low back pain (LBP) have been rigorously tested and their theoretical underpinnings seldom described. The selfBACK app was developed ... -
A computationally efficient method for hybrid EEG-fNIRS BCI based on the Pearson correlation
(Peer reviewed; Journal article, 2020)A hybrid brain computer interface (BCI) system considered here is a combination of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). EEG-fNIRS signals are simultaneously recorded to achieve ... -
An Overview of the Linked Data AppStore
(Peer reviewed; Journal article, 2014)This demo/poster paper provides an overview of a Software-as-a-Service platform prototype for data integration on the Web – The Linked Data AppStore (LD-AppStore). It builds upon Linked Data technologies, targets data ... -
Distinguishing Intermediate and Novice Surgeons by Eye Movements
(Peer reviewed; Journal article, 2020)Surgical skill-level assessment is key to collecting the required feedback and adapting the educational programs accordingly. Currently, these assessments for the minimal invasive surgery programs are primarily based on ... -
A Methodological Framework for Futures Studies: Integrating Normative Backcasting and Descriptive Case Study for Strategic Data-Driven Smart Sustainable City Planning
(Peer reviewed; Journal article, 2020)Originally proposed as an alternative to traditional energy planning methodology in the 1970s, backcasting is increasingly applied in futures studies related to sustainability, as it is viewed as a natural step in ... -
Escaping Local Minima in Path Planning Using a Robust Bacterial Foraging Algorithm
(Peer reviewed; Journal article, 2020)The bacterial foraging optimization (BFO) algorithm successfully searches for an optimal path from start to finish in the presence of obstacles over a flat surface map. However, the algorithm suffers from getting stuck in ... -
Validation of a Developed Enterprise Architecture Framework for Digitalisation of Smart Cities: a Mixed‑Mode Approach
(Journal article; Peer reviewed, 2022)To support smart cities in aligning information technology (IT) and business strategies to achieve urban digitalization, this study aims to present an Enterprise Architecture Framework (EAF) to facilitate the digitalization ... -
Detecting Norwegian Abusive Language in Social Media with Transformer-based Models
(Master thesis, 2021)Fremveksten av sosiale medier og digitale plattformer har bidratt til at flere bruker ytringsfriheten sin enn tidligere. Dette har medført en økning i polariserte debatter på nett, som har en ekskluderende effekt på mange. ... -
Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure
(Peer reviewed; Journal article, 2021)In recent years, uncertain data clustering has become the subject of active research in many fields, for example, pattern recognition, and machine learning. Nowadays, researchers have committed themselves to substitute the ... -
Toward a Technical Debt Relationship with the Pivoting of Growth Phase Startups
(Chapter, 2021)Context: Pivot has been a common strategical tactic of startups by shifting course of actions to adapt to environmental changes to the companies. Among many factors influencing the decisions of pivot or preserve, technical ... -
Improving Exergame Technologies for Older Adults Using Machine Learning
(Doctoral theses at NTNU;2022:124, Doctoral thesis, 2022)Facilitating exercise for the aging population is an important focus area in the years to come. Exercise is one of the keys to healthy aging, and the most effective measure for preventing disease and loss of independence. ...
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