AURA: Recent submissions
Now showing items 21-40 of 11502
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A Current Spectrum-Based Algorithm for Fault Detection of Electrical Machines Using Low-Power Data Acquisition Devices
(Peer reviewed; Journal article, 2023)An algorithm to improve the resolution of the frequency spectrum by detecting the number of complete cycles, removing any fractional components of the signal, signal discontinuities, and interpolating the signal for fault ... -
An Efficient Optimized DenseNet Model for Aspect-Based Multi-Label Classification
(Peer reviewed; Journal article, 2023)Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered ... -
Extracellular enzyme activity in the coastal upwelling system off Peru: A mesocosm experiment
(Peer reviewed; Journal article, 2023)The Peruvian upwelling system is a highly productive ecosystem with a large oxygen minimum zone (OMZ) close to the surface. In this work, we carried out a mesocosm experiment off Callao, Peru, with the addition of water ... -
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
(Journal article, 2023)Background Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate important ... -
Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization
(Peer reviewed; Journal article, 2023)Object localization plays a crucial role in computational perception, enabling applications ranging from surveillance to autonomous navigation. This can be leveraged by fusing data from cameras and LiDARs (Light Detection ... -
Post-glacial colonization of the Fennoscandian coast by a plant parasitic insect with an unusual life history
(Peer reviewed; Journal article, 2023)Species that exhibit very peculiar ecological traits combined with limited dispersal ability pose a challenge to our understanding of ecological and evolutionary mechanisms. This is especially true when they have managed ... -
Hybrid General Regression NN Model for Efficient Operation of Centralized TEG System under Non-Uniform Thermal Gradients
(Peer reviewed; Journal article, 2023)The global energy demand, along with the proportionate share of renewable energy, is increasing rapidly. Renewables such as thermoelectric generators (TEG) systems have lower power ratings but a highly durable and ... -
Modeling nationalism, religiosity, and threat perception: During the COVID-19 pandemic
(Peer reviewed; Journal article, 2023)The rise of nationalism and populism in Europe has created significant political and policy challenges. Understanding and addressing these challenges will require attention to the psychological mechanisms and social dynamics ... -
Paramilitaries, parochialism, and peace: The moral foundations and personality traits of SlovenskíBranci
(Peer reviewed; Journal article, 2023)Paramilitary organizations have increasingly become a cause for concern among policy makers and the media in recent years, in part because the former are often seen as a potential threat to peace (or at least to the status ... -
Fra arbeidsfellesskap til et mangfoldig læringsfellesskap: En analyse av begrepet fellesskap i Generell del av læreplanen fra 1997 (L97) og Overordnet del i gjeldende læreplanverk (LK20)
(Peer reviewed; Journal article, 2023)The article presents an analysis of community in “Core curriculum” from 1997 (L97) and “Core curriculum – values and principles for primary and secondary education” from current curriculum (LK20). Requests to build an ... -
Moderating effect of cardiorespiratory fitness on sickness absence in occupational groups with different physical workloads
(Peer reviewed; Journal article, 2023)Sickness absence from work has a large adverse impact on both individuals and societies in Sweden and the costs for sickness absence were calculated to 64.6 billion Swedish kronor (approx. 5.6 billion in Euros) in 2020. ... -
The why, what and how of deep learning : critical analysis and additional concerns
(Journal article; Peer reviewed, 2023)The concept of deep learning has become a popular and well recognised term in contemporary educational literature and inter-national political documents. Deep learning typically induces posi-tive connotations and represents ... -
Laboratory-based study of viscoelastic, viscoplastic and fatigue damage of asphalt concrete
(Doctoral dissertations at University of Agder; no. 466, Doctoral thesis, 2024)Asphalt concrete is one of the most important road building materials worldwide. This material exhibits unique chemical, physical and mechanical properties. The most well-known mechanical properties are the viscoelastic, ... -
DepCap: A Smart Healthcare Framework for EEG Based Depression Detection Using Time-Frequency Response and Deep Neural Network
(Peer reviewed; Journal article, 2023)A novel wearable consumer electronics device for detecting Major Depressive Disorder (MDD) has been developed using deep learning techniques for smart healthcare. Accurate identification of MDD through individual interviews ... -
Collaborating for Competition? Unpacking Ambiguities and Paradoxes Across the Academic Profession
(Peer reviewed; Journal article, 2023)This paper unpacks the complexities, ambiguities and paradoxes associated with the concepts of competition and collaboration, using the academic profession in the Nordic countries as an empirical case. We relied on paradox ... -
Hardware Trojan Mitigation Technique in Network-on-Chip (NoC)
(Peer reviewed; Journal article, 2023)Due to globalization in the semiconductor industry, malevolent modifications made in the hardware circuitry, known as hardware Trojans (HTs), have rendered the security of the chip very critical. Over the years, many methods ... -
A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model
(Peer reviewed; Journal article, 2023)Financial data are a type of historical time series data that provide a large amount of information that is frequently employed in data analysis tasks. The question of how to forecast stock prices continues to be a topic ... -
Hans Nielsen Hauge – religiøse mål og politiske konsekvenser
(Peer reviewed; Journal article, 2023) -
I blodhager, dansehus og søvnsletter. Ellen Einans fiksjonsdannelse
(Peer reviewed; Journal article, 2023)Ellen Einan (1931–2013) is a Norwegian poet known for her frequent use of innovative language that forms fixed expressions, codes or references to both religious and mythical rituals and symbols. She builds her imagery on ... -
Blockchain-Based Decentralized Architecture for Software Version Control
(Peer reviewed; Journal article, 2023)Version control is an important component of configuration management, and most enterprise-level software uses different tools and technologies to manage the software version control such as CVS, Subversion, or Perforce. ...