Blar i Department of Electrical and Computer Engineering (TN-IDE) på tittel
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Evaluating Computer Vision Methods for Detection and Pose Estimation of Textureless Objects
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)Robotics, AI and automation; search for these words and two things become apparent. An era of automation is upon us, but even so there are still some simple tasks that grinds it to a halt, e.g. picking and placing objects. ... -
Evaluating Fairness in Information Retrieval Systems: A Study on the Performance of the FAIR Metric
(Master thesis, 2023)In the digital era, the use of information retrieval (IR) technologies has surged, enabling users to access vast amounts of data quickly. However, concerns have arisen regarding bias and unfairness in these systems, leading ... -
Evaluating performance of a Bluetooth-based classroom tool
(Journal article; Peer reviewed, 2009)This paper focuses on the performance evaluation of a Bluetooth wireless technology based classroom tool. The classroom tool is to help lecturers automate their assignment tests. First, a testing prototype of the tool ... -
Evaluation of low-cost software-defined LTE/5G frameworks: cloudification
(Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)There has been a tremendous rise in mobile communication units over the past decade. Where cellphones once dominated the user market for fast wireless communication solutions, we now see an abundance of devices and appliances ... -
Evaluation Study of Inertial Positioning in Road Tunnels for Cooperative ITS Applications
(Peer reviewed; Journal article, 2023)Global Navigation Satellite Systems (GNSS) are unreliable positioning sources in road tunnels, as the satellite signals are unable to reach deep inside the tunnels. As innovative technologies emerge within the transportation ... -
Event processing applied to streams of TV channel zaps and sensor middleware with virtualization
(PhD thesis UiS;192, Doctoral thesis, 2013-04-23)The last decade has seen an exponential increase in mobile computing devices, as well as an increasing adoption of sensor technology in process industry, homes and public spaces. The increasing amount of information made ... -
Event-triggered and self-triggered control of a 3 DOF hover system
(Master thesis, 2023)Many modern control systems are implemented on devices that are resource constrained in the form of computational power, energy consumption or bandwidth. Control systems are conventionally implemented through periodic ... -
Event-triggered fault-tolerant leader-following control for homogeneous multi-agent systems
(Peer reviewed; Journal article, 2022)In this paper, the design of an event-triggered fault-tolerant control for leader-following consensus in multi-agent systems subject to actuator faults is presented. The problem under consideration is to reduce the control ... -
Event-triggered leader-following formation control for multi-agent systems under communication faults: Application to a fleet of unmanned aerial vehicles
(Journal article, 2021-10)The main contribution of this paper is the design of an event-triggered formation control for leader-following consensus in second-order multi-agent systems (MASs) under communication faults. All the agents must follow the ... -
Evolving Deep Neural Networks for Continuous Learning: Addressing Challenges and Adapting to Changing Data Conditions without Catastrophic Forgetting
(Master thesis, 2023)Continuous learning plays a crucial role in advancing the field of machine learning by addressing the challenges posed by evolving data and complex learning tasks. This thesis presents a novel approach to address the ... -
Experiences using video technologies in teaching programming
(Peer reviewed; Journal article, 2017)This paper deals with experiences of the author and other staff at UiS in using recorded lectures and other video technologies in teaching. Fewer students show up for the lectures than they used to before recording and ... -
Experimental comparison of migration strategies for MEC-assisted 5G-V2X applications
(Peer reviewed; Journal article, 2022)The introduction of 5G technology enables new V2X services requiring reliable and extremely low latency communications. To satisfy these requirements computing elements need to be located at the edge of the network, according ... -
Experimental Evaluation of Handover Strategies in 5G-MEC Scenario by using AdvantEDGE
(Chapter, 2022)The 5G-MEC architecture increases the heterogene-ity and dynamicity of the available resources, presenting unique and competing challenges to researchers, network designers, and application developers. Recent studies ... -
Explainable artificial intelligence for human-machine interaction in brain tumor localization
(Peer reviewed; Journal article, 2021)Primary malignancies in adult brains are globally fatal. Computer vision, especially recent developments in artificial intelligence (AI), have created opportunities to automatically characterize and diagnose tumor lesions ... -
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples
(Peer reviewed; Journal article, 2022)Deep neural network (DNN) architectures are considered to be robust to random perturbations. Nevertheless, it was shown that they could be severely vulnerable to slight but carefully crafted perturbations of the input, ... -
Exploring ethical implications of personal relationships in dyadic business exchanges
(Journal article; Peer reviewed, 2007)This paper explores the ethical implications of the existence of personal relationships in business exchanges. Firstly, this paper introduces personal relationship in business exchanges. Secondly, three normative theories ... -
Exploring Generative Adversarial Networks to Improve Prostate Segmentation on MRI
(Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-06-28)Prostate cancer is the second most occurring cancer and the sixth leading cause of cancer death among men worldwide. The number of cases is expected to increase dramatically due to population growth and increased expected ... -
Exploring the need for a CERT for the Norwegian Construction Sector
(Chapter, 2023)This paper presents an empirical study on the need for sector-specific CERT capacity in the Norwegian construction sector. Findings from the interviews demonstrate a need for developing competence in ICT security in this ... -
Exploring the Potential use of Convolutional Neural Networks for Clinically Significant Prostate Cancer Detection through the lens of age
(Bachelor thesis, 2023)Prostate Cancer (PCa) represents a significant public health challenge in developed nations, with over 5,000 men being diagnosed with the disease annually in Norway alone, rendering it the most frequently occurring cancer ... -
Extended approach to sum of absolute differences method for improved identification of periods in biomedical time series
(Peer reviewed; Journal article, 2020-10)Time series are a common data type in biomedical applications. Examples include heart rate, power output, and ECG. One of the typical analysis methods is to determine longest period a subject spent over a given heart rate ...