Browsing Publikasjoner fra CRIStin by Title
Now showing items 823-842 of 4572
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The dark side of phubbing in the workplace: Investigating the role of intrinsic motivation and the use of enterprise social media (ESM) in a cross-cultural setting
(Peer reviewed; Journal article, 2022) -
The Dark Side of Projectification: A Systematic Literature Review and Research Agenda on the Negative Aspects of Project Work and their consequences for individual project workers
(Peer reviewed; Journal article, 2022)Purpose Project work usually has a positive connotation and is considered innovative and modern. However, many project workers suffer from chronic stress, work overload and burnout. This study aims to integrate the ... -
The dark side of social media: Stalking, online self-disclosure and problematic sleep
(Peer reviewed; Journal article, 2021) -
DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features
(Peer reviewed; Journal article, 2023)One of the leading causes of mortality worldwide is cardiovascular disease (CVD). Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart’s health. This study presents a multi-class classifier ... -
Data driven approach for the management of wind and solar energy integrated electrical distribution network with high penetration of electric vehicles
(Peer reviewed; Journal article, 2023)With the increased penetration of fluctuating renewables and growing population of contemporary loads such as electric vehicles, the uncertainties in the generation and demand in the electric power grids are increasing. ... -
Data Driven Seal Wear Classifications using Acoustic Emissions and Artificial Neural Networks
(Peer reviewed; Journal article, 2022)The work presented in this paper is built on a series of experiments aiming to develop a data-driven and automated method for seal diagnostics using Acoustic Emission (AE) features. Seals in machineries operate in harsh ... -
Data governance spaces: The case of a national digital service for personal health data
(Peer reviewed; Journal article, 2023)This paper investigates data governance empirically by conducting a retrospective study of the ten-year evolution of a national digital service for personal health data in Norway. We show how data governance unfolds over ... -
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 visualization and transparency in the news
(Chapter, 2020)This chapter explores the role of data visualization in relation to transparency in the news, a field in which a decline in trust and a subsequent need to reassert credibility is an ongoing challenge. Being transparent ... -
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 Pump Scheduling for Cost Minimization in Water Networks
(Chapter, 2021)Pumps consume a significant amount of energy in a water distribution network (WDN). With the emergence of dynamic energy cost, the pump scheduling as per user demand is a computationally challenging task. Computing the ... -
A data-driven regression model for predicting thermal plant performance under load fluctuations
(Journal article, 2024)The global energy demand is still primarily reliant on fossil-fueled thermal power plants. With the growing share of renewables, these plants must frequently adjust their loads. Maintaining, or ideally increasing operational ... -
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 ... -
A Database of Post-2002 Dead Sea Scrolls-like Fragments
(Journal article; Peer reviewed, 2024)Since 2002, over 100 “new” Dead Sea Scrolls fragments have appeared on the antiquities market. They are commonly described as “post-2002 Dead Sea Scrolls-like fragments”. In this article, we present a comprehensive dataset ... -
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 ...