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Data spaces and the (trans)formations of data innovation and governance
(Doctoral dissertations at University of Agder; no. 455, Doctoral thesis, 2024)In this thesis, I theorize data innovation and governance as simultaneous processes and account for the distinctive nature of data. Utilizing the concept of space, I show how data innovation and governance in multi-actor ... -
Data-driven & Theory-driven Science : Artificial Realities and Applications to Savings Groups
(Doctoral Dissertations at the University of Agder; no. 310, Doctoral thesis, 2021)The scientific process is neither unique nor nomic. Two processes of scientific inquiry are theory-driven and data-driven science. This dissertation analyzes savings groups using theory-driven and data-driven methods. ... -
Data-driven green energy extraction: Machine learning-based MPPT control with efficient fault detection method for the hybrid PV-TEG system
(Peer reviewed; Journal article, 2023)The hybrid photovoltaic-thermoelectric generation system (PVTEG) gives two-fold benefits; firstly, it efficiently utilizes the available solar energy as it converts both solar irradiance and solar thermal energy into ... -
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)