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A resource competition-based truthful mechanism for IoV edge computing resource allocation with a lowest revenue limit
(Peer reviewed; Journal article, 2024)Resource allocation in Internet of Vehicles (IoV) edge computing is currently a research hotspot. Existing studies focus on social welfare or revenue maximization. However, there is little research on lowest revenue ... -
Exploring Affinity-Based Reinforcement Learning for Designing Artificial Virtuous Agents in Stochastic Environments
(Chapter; Peer reviewed, 2024)Artificial virtuous agents are artificial intelligence agents capable of virtuous behavior. Virtues are defined as an excellence in moral character, for example, compassion, honesty, etc. Developing virtues in AI comes ... -
Importance of environmental signals for cardiac morphological development in Atlantic salmon
(Journal article; Peer reviewed, 2024)The hearts of salmonids display remarkable plasticity, adapting to various environmental factors that influence cardiac function and demand. For instance, in response to cold temperature, the salmonid heart undergoes growth ... -
Experiences from Teaching Circular Economy Concepts to Engineering Students
(Chapter; Peer reviewed, 2022)For several years, a mandatory bachelor-level course at the University of Agder (UIA) has been educating engineering students on a range of topics and ideas related to system thinking, ethics, and sustainability including ... -
Event-Triggered Adaptive Control for a Class of Nonlinear Systems with Unknown Time-Varying Parameters
(Peer reviewed; Chapter, 2020)In this paper, we investigate the event-triggered output tracking problem for a class of nonlinear systems with unknown time-varying parameters. To reduce the communication burden, an event-triggered adaptive control method ... -
Modeling of Offshore Crane and Marine Craft in Wave Motion
(Peer reviewed; Journal article, 2020)Safe handling of heavy payloads in an offshore environment requires careful planning and depends on the interaction between a crane and a vessel. This paper investigates the coupled dynamics between a multipurpose crane ... -
Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology
(Peer reviewed; Journal article, 2024)Lifestyle diseases significantly contribute to the global health burden, with lifestyle factors playing a crucial role in the development of depression. The COVID-19 pandemic has intensified many determinants of depression. ... -
An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection
(Peer reviewed; Journal article, 2024)Falls are a major risk factor for older adults, increasing morbidity and healthcare costs. Video-based fall-detection systems offer crucial real-time monitoring and assistance. Yet, their deployment faces challenges such ... -
Sex-specific vertical movements of spawning atlantic cod in coastal habitats inferred from acoustic telemetry
(Peer reviewed; Journal article, 2024)Fish spawning location and behaviour can be challenging to detect, especially in deep water. Here we utilise two large acoustic telemetry datasets from western and mid Norway to study the vertical movement dimension of ... -
A Rule-Based Framework for Interpretable Natural Language Processing
(Doctoral dissertations at University of Agder; no. 500, Doctoral thesis, 2024)In recent years, neural network models have demonstrated remarkable results in natural language processing (NLP) tasks. These models have replaced complex hand-engineered methods for extracting and representing sentence ... -
Reference Design Model for a Smart e-Coach Recommendation System for Lifestyle Support Based on ICT Technologies
(Chapter; Peer reviewed, 2020)As acknowledged by the World Health Organization (WHO), the demographic development shows that by 2030, 8 out of the 10 foremost causes of death will be connected to risk conditions of lifestyle diseases, regardless of ... -
Spin pumping in noncollinear antiferromagnets
(Peer reviewed; Journal article, 2021)The ac spin pumping of noncollinear antiferromagnets is theoretically investigated. Starting from an effective action description of the spin system, we derive the Onsager coefficients connecting the spin pumping and ... -
Identification of Nonlinear Causality in Multivariate Systems by Designing Interpretable Machine Learning Models
(Doctoral dissertations at University of Agder; no. 499, Doctoral thesis, 2024)The study focusing on inference and data analysis within networks has become increasingly important. This is due to the growing number of interconnected systems and the vast amounts of data they produce. Many of these ... -
The Art of Bootstrapping
(Chapter, 2020)Language workbenches are used to define languages using appropriate meta-languages. Meta-languages are also just languages and can, therefore, be defined using themselves. The process is called bootstrapping and is often ... -
Formative Feedback in Mathematics Teacher Education: An Activity and Affordance Theory Perspective
(Chapter; Peer reviewed, 2022)The increasingly high number of students’ enrolment has necessitated the recent attention on the use of computer-based assessment systems for feedback delivery to students for mathematical learning, such as Numbas. However, ... -
A geometric street scattering channel model for car-to-car communication systems
(Chapter, 2011)This paper presents a geometric street scattering channel model for car-to-car (C2C) communication systems under line-of-sight (LOS) and non-LOS (NLOS) propagation conditions. Starting from the geometric model, we develop ... -
Extended fractional-order Jeffreys model of viscoelastic hydraulic cylinder
(Peer reviewed; Journal article, 2021)Novel modeling approach for viscoelastic hydraulic cylinders with negligible inertial forces is proposed based on the extended fractional-order Jeffreys model. Analysis and physical reasoning for the parameter constraints ... -
Temperature Coefficients of Solar Cell Parameters at Maximum Power Point
(Chapter; Peer reviewed, 2020)Analytical expressions for the temperature coefficients of the maximum power point voltage and current are presented. The temperature coefficients are calculated assuming the bandgap to be a linear function of the temperature ... -
Design of parallel compensator and stabilizing controller to mitigate non-minimum phase behaviour of the Czochralski process
(Peer reviewed; Journal article, 2020)This paper addresses the design of a parallel compensator and a stabilizing controller for the simplified crystal growth dynamics of the Czochralski (CZ) process, i.e., the process for the production of monocrystalline ... -
Towards Model-Based Reinforcement Learning for Industry-Near Environments
(Peer reviewed; Journal article, 2019)Deep reinforcement learning has over the past few years shown great potential in learning near-optimal control in complex simulated environments with little visible information. Rainbow (Q-Learning) and PPO (Policy ...