Browsing TKD - Institutt for informasjonsteknologi by Title
Now showing items 436-455 of 955
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Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
(Peer reviewed; Journal article, 2022)Q-learning is one of the most well-known Reinforcement Learning algorithms. There have been tremendous efforts to develop this algorithm using neural networks. Bootstrapped Deep Q-Learning Network is amongst them. It ... -
Improving the robustness to input errors on touch-based self-service kiosks and transportation apps
(Lecture Notes in Computer Science;10896; Computers Helping People with Special Needs, Journal article; Peer reviewed, 2018-06-26)Text input is cumbersome on public self-service kiosks and apps. Applications often provide prefix-based text suggestions to speed up input, but the input must be correct. However, application specific lists are usually ... -
Improving the Usability of Interactive Systems by Incorporating Design Thinking into the Engineering Process: Raising Computer Science Students’ Awareness of Quality versus Quantity in Ideation
(Conference object, 2019-10-21)Traditional engineering methods are considered unsuitable for the development of usable and engaging interactive systems such as online experimentation and simulation software. For systems involving users, user-centric ... -
IncludeOS: A minimal, resource efficient unikernel for cloud services
(IEEE International Conference on Cloud Computing Technology and Science;2015, Journal article; Peer reviewed, 2015)The emergence of cloud computing as a ubiquitous platform for elastically scaling services has generated need and opportunity for new types of operating systems. A service that needs to be both elastic and resource efficient ... -
Increasing faculty’s competence in digital accessibility for inclusive education: a systematic literature review
(International Journal of Inclusive Education;, Peer reviewed; Journal article, 2021-06-08)The use of information and communications technology (ICT) in higher education institutions has increased in the past 20 years. While ICT has brought many benefits to students and faculty, research shows that it also creates ... -
An Incremental Approach for Swift OpenFlow Anomaly Detection
(2018 IEEE 43rd Conference on Local Computer Networks (LCN);, Conference object, 2018)Software Defined Networking (SDN) is designed for dynamic policy update where frequent changes are pushed to the forwarding devices. Different offline approaches for detecting misconfiguration anomalies in SDN by taking a ... -
Incremental Quantiles Estimators for Tracking Multiple Quantiles
(Journal article; Peer reviewed, 2017)In this paper, we investigate the problem of estimating multiple quantiles when samples are received online (data stream). We assume that we are dealing with a dynamical system, i.e. the distribution of the samples from ... -
Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling
(Symmetry;Volume 11, Issue 7, Journal article; Peer reviewed, 2019-07-16)In a human–machine cooperation system, assessing the mental workload (MW) of the human operator is quite crucial to maintaining safe operation conditions. Among various MW indicators, electroencephalography (EEG) signals ... -
Inertial Frame Dragging and Relative Rotation of ZAMOs in Axistationary Asymptotically Flat Spacetimes
(Universe;, Peer reviewed; Journal article, 2023)In axistationary, asymptotically flat spacetimes, zero angular momentum observers (ZAMOs) define an absolute standard of non-rotation locally, as can be verified by the absence of any Sagnac effect for these observers. ... -
Infinite horizon billiards: Transport at the border between Gauss and Lévy universality classes
(Physical Review E;Vol. 100, Iss. 4 — October 2019, Journal article; Peer reviewed, 2019-10-31)We consider transport in two billiard models, the infinite horizon Lorentz gas and the stadium channel, presentinganalyticalresultsforthespreadingpacketofparticles.Wefirstobtainthecumulativedistributionfunction of traveling ... -
The Influence of Filament Type and Number of Layers on Mechanical Resistance: Contributions for the Development of 3D Printed Prosthesis
(Open Access Science in Human Factors Engineering and Human Centered Computing;Vol. 34, Chapter; Peer reviewed, 2022)3D printing has revolutionized the product development process in several areas including the healthcare field. In the context of assistive technologies, one of the main contributions includes personalizing the design of ... -
Information and Communications Technology and Social Media Accessibility in China
(Chapter; Peer reviewed, 2017)The title of this chapter comes from the Chinese idiom “a peep at a leopard through a tube – see a spot or two” (管中窥豹,可见一斑), which means looking at an issue from a single perspective and conjuring up a bigger picture. The ... -
Initial analysis of the impact of the Ukrainian power grid synchronization with Continental Europe
(Energy Advances;, Peer reviewed; Journal article, 2022)When Russia invaded Ukraine on the 24th of February 2022, this led to many acts of solidarity with Ukraine, including support for its electricity system. Just 20 days after the invasion started, the Ukrainian and Moldovan ... -
Inquiry, Documentation and Evaluation of Activity-Wristbands for DIGI-EL, Digital Applications for handling early labour
(Bachelor thesis, 2022)In collaboration with Karlstad Universities’ DIGI-EL project, our group has evaluated activity-wristband Fitbit Charge 4. Assessments for accuracy, safety and privacy were performed. Additionally, as a part of the project, ... -
Instantaneous mental workload assessment using time–frequency analysis and semi-supervised learning
(Cognitive Neurodynamics;volume 14, issue 5, Peer reviewed; Journal article, 2020-05-12)The real-time assessment of mental workload (MWL) is critical for development of intelligent human–machine cooper- ative systems in various safety–critical applications. Although data-driven machine learning (ML) approach ... -
Instantaneous Mental Workload Recognition Using Wavelet-Packet Decomposition and Semi-Supervised Learning
(IEEE Symposium Series on Computational Intelligence (SSCI);2019 IEEE Symposium Series on Computational Intelligence (SSCI), Conference object, 2020-02-20)The real-time monitoring of human operator's mental workload (MWL) is crucial for development of adaptive/intelligent human-machine cooperative systems in various safety/mission-critical application fields. Although ... -
Integrating multiple data sources for learning analytics—review of literature
(Research and Practice in Technology Enhanced Learning;14, Article number: 11 (2019), Journal article; Peer reviewed, 2019-07-26)Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate ... -
Integrating multiple data sources for learning analytics—review of literature
(Research and Practice in Technology Enhanced Learning (RPTL);14, Article number: 11 (2019), Journal article; Peer reviewed, 2019-08-28)Learning analytics (LA) promises understanding and optimization of learning and learning environments. To enable richer insights regarding questions related to learning and education, LA solutions should be able to integrate ... -
Integrating universal design and accessibility into computer science curricula: A review of literature and practices in Europe
(Studies in Health Technology and Informatics;256, Journal article; Peer reviewed, 2018)The absence of accessibility in many ICT systems and products indicates insufficient accessibility competence among designers, developers and project managers. Higher education institutions play an important role in raising ... -
An intelligent collaborative image-sensing system for disease detection
(Peer reviewed; Journal article, 2023)In this paper we introduce a novel framework for disease detection. The framework is based on intelligent agents where each agent studies the interaction among the different medical data observations using reinforcement ...