Institutt for datateknologi og informatikk
Recent Submissions
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A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images
(Peer reviewed; Journal article, 2021)In computer vision, traditional machine learning (TML) and deep learning (DL) methods have significantly contributed to the advancements of medical image analysis (MIA) by enhancing prediction accuracy, leading to appropriate ... -
Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm
(Peer reviewed; Journal article, 2021)Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more convenient, efficient, and even ... -
Towards a business analytics capability for the circular economy
(Peer reviewed; Journal article, 2021)Digital technologies are growing in importance for accelerating firms’ circular economy transition. However, so far, the focus has primarily been on the technical aspects of implementing these technologies with limited ... -
Epigenetic mapping of the somatotropic axis in Nile tilapia reveals differential DNA hydroxymethylation marks associated with growth
(Peer reviewed; Journal article, 2021)In vertebrates, the somatotropic axis comprising the pituitary gland, liver and muscle plays a major role in myogenesis. Its output in terms of muscle growth is highly affected by nutritional and environmental cues, and ... -
A Novel Model for Data-Driven Smart Sustainable Cities of the Future: A Strategic Planning Process of Transformative Change towards Sustainability
(Doctoral theses at NTNU;2021:171, Doctoral thesis, 2021)Sustainable cities have been the leading global paradigm of urbanism and the most preferred response to the challenges of sustainable development. Significant advances have been achieved in knowledge and a multitude of ... -
Identification and characterization of long noncoding RNAs involved in the cell cycle
(Doctoral theses at NTNU;2021:234, Doctoral thesis, 2021)Lange ikke-kodende RNA involvert i cellesyklus For å produsere nye celler må kroppens celler dele seg til to identiske kopier i en prosess som kalles cellesyklus. Dette er en nøye kontrollert prosess for å sikre at ... -
Game-based learning design and evaluation: Towards better understanding and improvement
(Doctoral theses at NTNU;2021:214, Doctoral thesis, 2021)In recent years, Game-based learning (GBL) has proliferated rapidly and is widely used in various fields to improve learning. Educational games can actively engage learners and meet individual learning situations, making ... -
Unsupervised Clustering of Structured and Unstructured Text Collections
(Doctoral theses at NTNU;2021:179, Doctoral thesis, 2021)This thesis explores the application of unsupervised clustering for domain adaptation of machine translation systems. As in many artificial intelligence areas, creating a system that generalizes to any domain is a hard ... -
Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks
(Peer reviewed; Journal article, 2021)5G heterogeneous networks have become a promising platform to connect a growing number of Internet-of-Things (IoT) devices and accommodate a wide variety of vertical services. IoT has not been limited to traditional sensing ... -
Developing health technology innovators: A collaborative learning approach
(Peer reviewed; Journal article, 2019)In this paper we present a new initiative to promote collaborative learning through industry partnered, interdisciplinary, student and user centred projects. This was achieved through the development of rehabilitation ... -
Understanding coding activities for teens: a focus on school teachers' perspectives
(Chapter, 2020)Over the last few years, researchers, teachers, parents, volunteers, and even IT companies have joined efforts to develop coding activities for children in K-12 education. These efforts include technological tools and ... -
Exploring Decomposition for Solving Pattern Mining Problems
(Peer reviewed; Journal article, 2021)This article introduces a highly efficient pattern mining technique called Clustering-based Pattern Mining (CBPM). This technique discovers relevant patterns by studying the correlation between transactions in the transaction ... -
Investigating the data science skill gap: An empirical analysis
(Peer reviewed; Journal article, 2019)With big data analytics constantly growing in importance for contemporary organizations so does the need for skilled professionals. Perhaps the most critical item noted in the age of data is the lack of people with the ... -
Diversifying Top-k Point-of-Interest Queries via Collective Social Reach
(Chapter, 2020)By "checking into'' various points-of-interest (POIs), users create a rich source of location-based social network data that can be used in expressive spatio-social queries. This paper studies the use of popularity as a ... -
On the Appearance of Translucent Objects: Perception and Assessment by Human Observers
(Doctoral theses at NTNU;2021:201, Doctoral thesis, 2021)Appearance characterizes visual features of objects and materials. It is a multiplex psychovisual phenomenon that is usually broken into several appearance attributes for simplification of its measurement and communication, ... -
Three perceptual dimensions for specular and diffuse reflection
(Peer reviewed; Journal article, 2020)Previous research investigated the perceptual dimensionality of achromatic reflection of opaque surfaces, by using either simple analytic models of reflection or measured reflection properties of a limited sample of ... -
Designing movement-based interactive technology supporting balance training in older adults
(Doctoral theses at NTNU;2021:170, Doctoral thesis, 2021)With an increasing global population of older adults, falls are a critical problem resulting in numerous injuries, loss of independence, and fatalities. In this regard, balance training and rehabilitation play a major role ... -
Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive
(Peer reviewed; Journal article, 2021)t has been more than a year since the coronavirus (COVID-19) engulfed the whole world, disturbing the daily routine, bringing down the economies, and killing two million people across the globe at the time of writing. The ... -
Image Quality Assessment without Reference by Combining Deep Learning-Based Features and Viewing Distance
(Peer reviewed; Journal article, 2021)An abundance of objective image quality metrics have been introduced in the literature. One important essential aspect that perceived image quality is dependent on is the viewing distance from the observer to the image. ... -
Examining the Adoption of Emergency Remote Teaching and Virtual Learning During and After COVID-19 Pandemic
(Peer reviewed; Journal article, 2021)Purpose The Coronavirus 2019 (COVID-19) pandemic has already had a significant disruptive impact on the society, posing challenges to the provision of education across the world. Due to this crises governments over the ...
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