Blar i Publikasjoner fra CRIStin - NTNU på tittel
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Experimental verification of the elastic response in a numeric model of a composite propeller blade with bend twist deformation
(Journal article; Peer reviewed, 2021) -
Experimental verification of underwater positioning system in aquaculture
(Chapter; Peer reviewed, 2017)This paper presents a filter for positioning of an underwater vehicle in exposed aquaculture environments. The input to the filter is time of flight measurements from acoustic transponders mounted at near the sea surface. ... -
Experimenting a Digital Collaborative Platform for Supporting Social Innovation in Multiple Settings
(Chapter, 2018)Social Innovation is gaining popularity as an approach to address societal challenges. Governments, charities, NGOS and organizations are taking up the role of facilitating citizens participation into social innovation ... -
Experiments and CFD simulation of an air-conditioned tractor cabin for thermal comfort of tractor operators in Pakistan
(Journal article; Peer reviewed, 2023)Tractors are manufactured without air-conditioned cabins in Pakistan. This leads to thermal discomfort for tractor operators working under direct solar exposure. Therefore, this study aimed to design and install an ... -
Experiments and modelling of choked flow of CO2 in orifices and nozzles
(Peer reviewed; Journal article, 2022)In order to accelerate the deployment of capture and storage (CCS), engineers need experimentally validated models, among other things, to predict the mass flow rate in process equipment and flow restrictions like valves, ... -
Experiments and modelling of near-horizontal bubbly flow
(Peer reviewed; Journal article, 2023)This work aims to establish a fast and robust mechanistic model framework for predicting phase fraction profiles in bubbly flows. The main motivation is that the associated closure laws can in the future be used as a basis ... -
Experiments and simulations of empty and sand-filled aluminum alloy panels subjected to ballistic impact
(Journal article; Peer reviewed, 2017)In this study, we use a discrete particle method in combination with finite element analysis to describe the interaction between structures and granular media during ballistic impact. By applying a discrete particle method ... -
Experiments in interdisciplinarity: Responsible research and innovation and the public good
(Journal article; Peer reviewed, 2018)In Europe, responsible research and innovation (RRI) has emerged as a science policy measure that demands the early integration of a broad range of social actors and perspectives into research and development (R&D). More ... -
Experiments in the wind turbine far wake for the evaluation of an analytical wake model
(Journal article; Peer reviewed, 2017)Nowadays, not only the size of single wind turbines but also the size of wind farms is increasing. Understanding the interaction between the turbines and especially the wakes formed behind them are getting more important ... -
Experiverse: Exploring an experiment-based gamification application for motivating children to science learning in an informal setting
(Chapter, 2023)Science learning at schools often lacks relevance and connection to real life; therefore, children find it challenging to apply their knowledge and may gradually lose motivation and interest in science. Gamification ... -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
(Peer reviewed; Journal article, 2022)In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims to incorporate semi-supervised learning into reinforcement ... -
An expert system for systematic international market selection
(Peer reviewed; Journal article, 2022)We tested and examined the use of systematic international market selection (IMS) in the case of a library software/automation provider in a Nordic country. The purpose of our study was to investigate how the case company ... -
Expiratory airflow in late adolescence and early adulthood in individuals born very preterm or with very low birthweight compared with controls born at term or with normal birthweight: a meta-analysis of individual participant data.
(Journal article; Peer reviewed, 2019)Maximal expiratory airflow peaks early in the third decade of life, then gradually declines with age. The pattern of airflow through adulthood for individuals born very preterm (at <32 weeks’ gestation) or ... -
Explainable AI for Credit Assessment in Banks
(Peer reviewed; Journal article, 2022)Banks’ credit scoring models are required by financial authorities to be explainable. This paper proposes an explainable artificial intelligence (XAI) model for predicting credit default on a unique dataset of unsecured ... -
Explainable AI methods on a deep reinforcement learning agent for automatic docking
(Peer reviewed; Journal article, 2021)Artifical neural networks (ANNs) have made their way into marine robotics in the last years, where they are used in control and perception systems, to name a few examples. At the same time, the black-box nature of ANNs is ... -
Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research
(Peer reviewed; Journal article, 2023)The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns regarding explainability. Recent studies have discussed the emerging demand for explainable AI (XAI); however, a systematic review ... -
Explainable Visualization for Morphing Attack Detection
(Peer reviewed; Journal article, 2022)Detecting morphed face images has become critical for maintaining trust in automated facial biometric verification systems. It is well demonstrated that better biometric performance of the Face Recognition System (FRS) ... -
Explaining a deep reinforcement learning docking agent using linear model trees with user adapted visualization
(Peer reviewed; Journal article, 2021)Deep neural networks (DNNs) can be useful within the marine robotics field, but their utility value is restricted by their black-box nature. Explainable artificial intelligence methods attempt to understand how such ... -
Explaining CBR Systems Through Retrieval and Similarity Measure Visualizations: A Case Study
(Chapter, 2022)Explainability in AI is becoming increasingly important as we delegate more safety-critical tasks to intelligent decision support systems. Case-Based Reasoning (CBR) systems are one way to build such systems. Understanding ... -
Explaining decoupling in high income countries: A structural decomposition analysis of the change in energy footprint from 1970 to 2009
(Peer reviewed; Journal article, 2020)The decoupling of energy use from economic growth is an essential element in the transition to a sustainable future. However, little is known about the long-term drivers of decoupling, especially considering the possibility ...