Blar i Publikasjoner fra CRIStin på tittel
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Data-Driven Spectrum Cartography via Deep Completion Autoencoders
(Journal article; Peer reviewed, 2020)Spectrum maps, which provide RF spectrum metrics such as power spectral density for every location in a geographic area, find numerous applications in wireless communications such as interference control, spectrum management, ... -
Dataset from a mesocosm experiment on brownification in the Baltic Sea
(Peer reviewed; Journal article, 2022)Climate change is projected to cause brownification of some coastal seas due to increased runoff of terrestrially derived organic matter. We carried out a mesocosm experiment over 15 days to test the effect of this on the ... -
Daugavet- and delta-points in Banach spaces with unconditional bases
(Journal article; Peer reviewed, 2021) -
De yngste barnas nonverbale sosiale handlingsrepertoar – slik det utvikler seg og kommer til uttrykk i norske barnehager
(Doctoral dissertations at University of Agder;, Doctoral thesis, 2017)Dette prosjektet undersøker det sosiale på mikronivå slik det utspiller seg mellom barn under tre år i norske barnehager. Det beskriver og forsøker å forstå betydningen av barns nonverbale sosiale handlingsrepertoar, men ... -
Dealing with rural-urban economic welfare challenges in the Nordic countries – a theory-based overview
(Peer reviewed; Journal article, 2020) -
Dealing with rural-urban economic welfare challenges in the Nordic countries – a theory-based overview
(Peer reviewed; Journal article, 2020) -
Decentralization in Ukraine and bottom-up European integration
(Federalism and Internal Conflicts, Chapter; Peer reviewed, 2020) -
Decentralized subspace projection in large networks
(Chapter; Peer reviewed, 2018) -
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 ... -
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 ...