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Towards intelligent and trustworthy task assignments for 5G-enabled industrial communication systems
(Peer reviewed; Journal article, 2023)With the unprecedented prevalence of IIoT and 5G technology, various applications supported by industrial communication systems have generated exponentially increased processing tasks, which makes task assignment inefficient ... -
Towards More Sustainable Sports: Analyzing the Travel Behavior of Adolescent Soccer Players in Southern Norway
(Peer reviewed; Journal article, 2022) -
Towards New Avenues for Regional Industries: A Study on Regional Industrial Restructuring
(Doctoral dissertations at University of Agder;no. 486, Doctoral thesis, 2024)The point of departure for this dissertation is the need for many regional industries to change to cope with grand societal challenges. Such industrial restructuring includes changes within existing industries as well as ... -
Towards Resilient Organisations and Societies? Reflections on the Multifaceted Nature of Resilience
(Chapter, 2022)As the chapters in this volume have shown, resilience is a multifaceted and malleable concept that can be fruitfully applied to a wide range of phenomena at all levels of society. At the same time, there is a distinct ... -
Towards Responsible AI for Financial Transactions
(Chapter; Peer reviewed, 2020)The application of AI in finance is increasingly dependent on the principles of responsible AI. These principles-explainability, fairness, privacy, accountability, transparency and soundness form the basis for trust in ... -
Towards Routinely Using Virtual Reality in Higher Education
(Chapter; Peer reviewed, 2022)Virtual reality promises to be a tool that can improve higher education. Immersive virtual environments offer the chance to enrich courses with experiential learning experiences. The technological possibilities evolve ... -
Towards safe reinforcement-learning in industrial grid-warehousing
(Peer reviewed; Journal article, 2020) -
Towards the definitive evaluation framework for cross-platform app development approaches
(Journal article; Peer reviewed, 2019) -
Towards Thompson Sampling for Complex Bayesian Reasoning
(Doctoral Dissertation at the University of Agder; no. 275, Doctoral thesis, 2020)Thompson Sampling (TS) is a state-of-art algorithm for bandit problems set in a Bayesian framework. Both the theoretical foundation and the empirical efficiency of TS is wellexplored for plain bandit problems. However, the ... -
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles
(Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)Providing full autonomy to Unmanned Surface Vehicles (USV) is a challenging goal to achieve. Autonomous docking is a subtask that is particularly difficult. The vessel has to distinguish between obstacles and the dock, and ... -
Tracking of Quantized Signals Based on Online Kernel Regression
(Peer reviewed; Journal article, 2021)Kernel-based approaches have achieved noticeable success as non-parametric regression methods under the framework of stochastic optimization. However, most of the kernel-based methods in the literature are not suitable to ... -
Tracking the impacts of climate change on human health via indicators: lessons from the Lancet Countdown
(Peer reviewed; Journal article, 2022)Background In the past decades, climate change has been impacting human lives and health via extreme weather and climate events and alterations in labour capacity, food security, and the prevalence and geographical ... -
Trade, financial openness and dual banking economies: Evidence from GCC Region
(Journal article; Peer reviewed, 2021) -
A Trainable Approach to Zero-delay Smoothing Spline Interpolation
(Peer reviewed; Journal article, 2023)The task of reconstructing smooth signals from streamed data in the form of signal samples arises in various applications. This work addresses such a task subject to a zerodelay response; that is, the smooth signal must ... -
The Training Characteristics of World-Class Distance Runners: An Integration of Scientifc Literature and Results-Proven Practice
(Peer reviewed; Journal article, 2022)In this review we integrate the scientifc literature and results-proven practice and outline a novel framework for understanding the training and development of elite long-distance performance. Herein, we describe how ... -
Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys
(Peer reviewed; Journal article, 2022) -
Traits and risk factors of post-disaster infectious disease outbreaks: a systematic review
(Peer reviewed; Journal article, 2021) -
The trajectory of psychedelic, spiritual, and psychotic experiences: implications for cognitive scientific perspectives on religion
(Peer reviewed; Journal article, 2024)Fruitful comparison of psychedelic, spiritual, and psychotic experiences requires a degree of phenomenological nuance. Some shared features of these phenomena, such as encounters and communications with supernatural entities, ... -
A Trajectory-Driven 3D Channel Model for Human Activity Recognition
(Peer reviewed; Journal article, 2021)