Institutt for IKT og realfag
Recent Submissions
-
Jovian Planets and Lunar Nodal Cycles in the Earth’s Climate Variability
(Peer reviewed; Journal article, 2022)This study utilizes time-series data devised to measure solar irradiation, sea surface temperatures, and temperatures in the lower atmosphere to gain a better understanding of how gravitational effects from the moon and ... -
An Experience Report on Transitioning to Blended Learning and Portfolio-assessment: a Cross-campus Course in Programming
(Peer reviewed; Journal article, 2022)The transition from traditional to digital teaching has led to several challenges for students and educators under the COVID-19 pandemic. Most universities are experiencing remote online delivery and assessment for the ... -
Empirical Study of Day-Ahead Electricity Spot-Price Forecasting: Insights into a Novel Loss Function for Training Neural Networks
(Peer reviewed; Journal article, 2022)Within deregulated economies, large electricity volumes are traded in daily spot markets, which are highly volatile. To develop profitable trading strategies, all stakeholders must be empowered with robust forecasting ... -
Learning the Morphological and Syntactic Grammars for Named Entity Recognition
(Journal article; Peer reviewed, 2022)In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structures, such as inflection, that will confuse the data-driven models when perceiving the word’s actual meaning. This work ... -
Implementation of Virtual Concurrent Engineering Tools in Engineering Education 4.0
(Peer reviewed; Journal article, 2022)Adoption of virtual collaboration tools enabling multi-site teaching and learning, as well as informal social interactions, is important for preparing for the digital transformation in engineering education accelerated by ... -
On the prediction of long-lived bugs: An analysis and comparative study using FLOSS projects
(Journal article; Peer reviewed, 2021)Context: Software evolution and maintenance activities in today’s Free/Libre Open Source Software (FLOSS) rely primarily on information extracted from bug reports registered in bug tracking systems. Many studies point out ... -
Principled Interpolation in Normalizing Flows
(Chapter, 2021)Generative models based on normalizing flows are very successful in modeling complex data distributions using simpler ones. However, straightforward linear interpolations show unexpected side effects, as interpolation paths ... -
Programming in Mathematics Education: An Intermediary between the Real-World and the Mathematical Model
(Peer reviewed; Journal article, 2021)In realistic mathematics education students expand their common sense through guided reinvention, aiming to prevent the dichotomy between what the students experience as real and the associated mathematical model. The ... -
Classification and determinants of passing difficulty in soccer: a multivariate approach
(Peer reviewed; Journal article, 2021)Introduction Usually, the players’ or teams’ efficiency to perform passes is measured in terms of accuracy. The degree of difficulty of this action has been overlooked in the literature. Objectives The present study ... -
A BFS-Tree of ranking references for unsupervised manifold learning
(Journal article, Peer reviewed, 2021)Contextual information, defined in terms of the proximity of feature vectors in a feature space, has been successfully used in the construction of search services. These search systems aim to exploit such information to ... -
Performance assessment of the built environment in healthcare facilities
(Peer reviewed; Journal article, 2021)Purpose – This study presents findings of post-occupancy evaluation (POE), through a performance assessment, on a polyclinic, as a health-care facility, in Saudi Arabia. Design/methodology/approach – Review of the literature ... -
How a project alliance influences project performance compared to traditional project practice – Findings from a case study in the Norwegian oil and gas industry
(Peer reviewed; Journal article, 2022)Practitioners and researchers have turned their attention toward collaborative arrangements and new Collaborative Project Delivery Models (CPDMs). In this paper we present findings from a study focusing on the impact of a ... -
Maturity of workplace relocation: a systematic literature review from 1990 to 2020
(Peer reviewed; Journal article, 2021)Purpose – This study aims to identify research gaps on workplace relocation, through investigating and critiquing the published literature, in the facilities management (FM) and real estate management (REM) domains, over ... -
Football player dominant region determined by a novel model based on instantaneous kinematics variables
(Journal article; Peer reviewed, 2021)Dominant regions are defned as regions of the pitch where a player can reach before any other and are commonly determined without considering the free-spaces in the pitch. We presented an approach to football players’ ... -
A Comparison of GA Crossover and Mutation Methods for the Traveling Salesman Problem
(Peer reviewed; Journal article, 2021)The traveling salesman problem is a very popular combinatorial optimization problem in fields such as computer science, operations research, mathematics and optimization theory. Given a list of cities and the distances ... -
An Optimized IoT-Based Waste Collection and Transportation Solution: A Case Study of a Norwegian Municipality
(Chapter, 2021)Smart and sustainable solid waste management systems (SWMS) are of major interest in the development of smart sustainable cities (SSC). Selective waste collection and transportation are known to be major expenditures of ... -
Litter Detection with Deep Learning: A Comparative Study
(Peer reviewed; Journal article, 2022)Pollution in the form of litter in the natural environment is one of the great challenges of our times. Automated litter detection can help assess waste occurrences in the environment. Different machine learning solutions ... -
Sport action mining: Dribbling recognition in soccer
(Journal article; Peer reviewed, 2021)Recent advances in Computer Vision and Machine Learning empowered the use of image and positional data in several high-level analyses in Sports Science, such as player action classifcation, recognition of complex human ... -
Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis
(Peer reviewed; Journal article, 2021)Iconography studies the visual content of artworks by considering the themes portrayedin them and their representation. Computer Vision has been used to identify iconographic subjectsin paintings and Convolutional Neural ... -
Multi-Agent Robot System to Monitor and Enforce Physical Distancing Constraints in Large Areas to Combat COVID-19 and Future Pandemics
(Peer reviewed; Journal article, 2021)Random outbreaks of infectious diseases in the past have left a persistent impact on societies. Currently, COVID-19 is spreading worldwide and consequently risking human lives. In this regard, maintaining physical distance ...
RSS 2.0