Blar i Publikasjoner fra CRIStin på tittel
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A Decision-support Algorithm for Self-management of Anticoagulation Therapy Used in a Smartphone Application
(Chapter; Peer reviewed, 2019) -
Decolonizing imperial epistemologies in African environmental historiography : chemical violence, postcoloniality and new narratives of the toxic epidemic in Africa
(Journal article; Peer reviewed, 2023)African history and environmental history have had negligible impact on each other. The field of environmental history has had limited traction in influencing the writing of African history and generating critical discourses ... -
Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks
(Peer reviewed; Journal article, 2023)Abnormal event detection is one of the most challenging tasks in computer vision. Many existing deep anomaly detection models are based on reconstruction errors, where the training phase is performed using only videos of ... -
A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing
(Peer reviewed; Journal article, 2019)Mobile edge computing (MEC) has shown tremendous potential as a means for computationally intensive mobile applications by partially or entirely offloading computations to a nearby server to minimize the energy consumption ... -
Deep Learning for Classifying Physical Activities from Accelerometer Data
(Peer reviewed; Journal article, 2021) -
Deep Learning for Medical Image Cryptography: A Comprehensive Review
(Peer reviewed; Journal article, 2023)Electronic health records (EHRs) security is a critical challenge in the implementation and administration of Internet of Medical Things (IoMT) systems within the healthcare sector’s heterogeneous environment. As digital ... -
A Deep Learning-Based Framework for Feature Extraction and Classification of Intrusion Detection in Networks
(Peer reviewed; Journal article, 2022)An intrusion detection system, often known as an IDS, is extremely important for preventing attacks on a network, violating network policies, and gaining unauthorized access to a network. The effectiveness of IDS is highly ... -
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
(Journal article; Peer reviewed, 2020) -
Deep Reinforcement Learning using Capsules in Advanced Game Environments
(Master thesis, 2018)Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games. This success is primarily due ... -
Deep Transfer Learning Based Radio Map Estimation for Indoor Wireless Communications
(Chapter; Peer reviewed, 2022)This paper investigates the problem of transfer learning in radio map estimation for indoor wireless communications, which can be exploited for different applications, such as channel modelling, resource allocation, network ... -
Defects and fault modes of field-aged photovoltaic modules in the Nordics
(Peer reviewed; Journal article, 2023)PV module durability and reliability influences its efficiency and return on investment. Hence, collection of ample and credible PV module reliability data in each climatic zone becomes increasingly essential. In this work, ... -
Defending the Nordic model: Understanding the moral universe of the Norwegian working class.
(Peer reviewed; Journal article, 2021)In recent years, much attention has been paid to the white working class’ concern with their declining position in the neoliberal era. The hypothesis that social and economic insecurity provoke anger and xenophobia are ... -
Defining and measuring the network flexibility of humanitarian supply chains: insights from the 2015 Nepal earthquake
(Peer reviewed; Journal article, 2017)The efficient and effective response to disasters critically depends on humanitarian supply chains (HSCs). HSCs need to be flexible to adapt to uncertainties in needs, infrastructure conditions, and behavior of other ... -
Definition and Analysis of Quasi-Stationary Intervals of Mobile Radio Channels
(Chapter; Peer reviewed, 2018) -
Definitions and measurement of health literacy in health and medicine research: A systematic review
(Peer reviewed; Journal article, 2022)Objectives The way health literacy is understood (conceptualised) should be closely linked to how it is measured (operationalised). This study aimed to gain insights into how health literacy is defined and measured in ... -
Delicate dining with a date and burger binging with buddies: impression management across social settings and consumers’ preferences for masculine or feminine foods
(Peer reviewed; Journal article, 2023)Consumers often use their food choices as an impression management strategy to signal desirable aspects about themselves to others, especially in public places like restaurants and cafeterias, where the presence of others ... -
Delta- and Daugavet points in Banach spaces
(Journal article; Peer reviewed, 2020) -
Delta-points and their implications for the geometry of Banach spaces
(Peer reviewed; Journal article, 2024) -
Democracy in schools: qualitative analysis of pupils’ experiences of democracy in the context of the Norwegian school
(Peer reviewed; Journal article, 2021)A limited number of empirical studies have explored pupils’ democratic practice and the direct experiences of school children using a qualitative approach. The aim of the present study has been to analyse pupils’ experiences ...