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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, ... -
Data-driven Transfer Learning Methods for Wireless Networks
(Doctoral dissertations at University of Agder; no. 475, Doctoral thesis, 2024)Radio maps provide information about spatial signal strength and network coverage in a designated geographical area. The estimation of accurate radio maps is necessary to improve the performance of many applications of ... -
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 ... -
Dataset of Integrated Measures of Religion (DIM-R). Harmonization of religiosity data from selected international multiwave surveys
(Peer reviewed; Journal article, 2024)This article presents the Dataset of Integrated Measures of Religion (DIM-R), explains how it was constructed, and outlines its potential for helping to address long-standing research questions in the social scientific ... -
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 ... -
DE-PASS Best Evidence Statement (BESt): modifiable determinants of physical activity and sedentary behaviour in children and adolescents aged 5-19 years-a protocol for systematic review and meta-analysis
(Peer reviewed; Journal article, 2022)Introduction Physical activity among children and adolescents remains insufficient, despite the substantial efforts made by researchers and policymakers. Identifying and furthering our understanding of potential modifiable ... -
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)