Blar i Vitenskapelige publikasjoner (TN-IDE) på tittel
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Integrating big data and blockchain to manage energy smart grid - TOTEM framework
(Peer reviewed; Journal article, 2022)The demand for electricity is increasing exponentially day by day, especially with the arrival of electric vehicles. In the smart community neighborhood project, electricity should be produced at the household or community ... -
Intelligent Colored Token Petri Nets for Modeling, Control, and Validation of Dynamic Changes in Reconfigurable Manufacturing Systems
(Peer reviewed; Journal article, 2020)The invention of reconfigurable manufacturing systems (RMSs) has created a challenging problem: how to quickly and effectively modify an RMS to address dynamic changes in a manufacturing system, such as processing failures ... -
Interval Type 2 Fuzzy Adaptive Motion Drive Algorithm Design
(Peer reviewed; Journal article, 2023-07)Motion drive algorithms are a set of filters designed to simulate realistic motion and are an integral part of contemporary vehicle simulators. This paper presents the design of a novel intelligent interval type 2 fuzzy ... -
Introducing a New Toolbox for Theory of Connection
(Peer reviewed; Journal article, 2020)These days, graphs and graph theory is being used for modelling, simulation, and performance analysis of many physical systems, as physical systems are becoming more and more connected. However, ca. 75 years ago, Gabriel ... -
Invasive cancerous area detection in non-muscle invasive bladder cancer whole slide images
(Chapter, 2022)Bladder cancer patients’ stratification into risk groups relies on grade, stage and clinical factors. For non-muscle invasive bladder cancer, T1 tumours that invade the subepithelial tissue are high-risk lesions with a ... -
Investigation of the Effect of Fracturing Fluids on Shale Pore Structure by Nuclear Magnetic Resonance
(Peer reviewed; Journal article, 2023)Hydraulic fracturing technology significantly enhances the productivity of shale oil and gas reservoirs. Nonetheless, the infiltration of fracturing fluid into shale formations can detrimentally affect the microscopic pore ... -
Is Norway an information society?
(Conference object, 2010)Information Society can be loosely defined as a society integrated by complex communication networks that rapidly develop and exchange information. Information society is becoming an earthly phenomenon and the goal of every ... -
The Isolation Concept in the 5G Network Slicing
(Chapter, 2020)The fifth generation (5G) of cellular networks shall host a number of tenants and provide services tailored to meet a wide range of requirements in terms of performance, dependability and security. Network slicing will be ... -
Java Bluetooth wireless technology for evaluating student performance in classroom
(Journal article; Peer reviewed, 2005)This paper focuses on the use of Java Bluetooth wireless technology for evaluation of student performance in classroom. First, an introduction to Bluetooth wireless technology is given. Second, use of Java technology for ... -
Joint multi-objective MEH selection and traffic path computation in 5G-MEC systems
(Peer reviewed; Journal article, 2024)Multi-access Edge Computing (MEC) is an emerging technology that allows to reduce the service latency and traffic congestion and to enable cloud offloading and context awareness. MEC consists in deploying computing devices, ... -
Kernel recursive least squares dictionary learning algorithm
(Peer reviewed; Journal article, 2023)An online dictionary learning algorithm for kernel sparse representation is developed in the current paper. In this framework, the input signal nonlinearly mapped into the feature space is sparsely represented based on a ... -
Learning Parameterized ODEs From Data
(Peer reviewed; Journal article, 2023)In contemporary research, neural networks are being used to derive Ordinary Differential Equations (ODEs) from observations. However, parameterized ODEs pose a more significant challenge than non-parameterized ODEs since ... -
LMI-based design of state-feedback controllers for pole clustering of LPV systems in a union of DR-regions
(Peer reviewed; Journal article, 2021)This paper introduces an approach for the design of a state-feedback controller that achieves pole clustering in a union of DR-regions for linear parameter varying systems. The design conditions, obtained using a partial ... -
A Low-Cost Wireless Body Area Network for Human Activity Recognition in Healthy Life and Medical Applications
(Peer reviewed; Journal article, 2023)Moved by the necessity, also related to the ongoing COVID-19 pandemic, of the design of innovative solutions in the context of digital health, and digital medicine, Wireless Body Area Networks (WBANs) are more and more ... -
Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke
(Peer reviewed; Journal article, 2021-07)Objective: Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by ... -
Machine learning techniques for the detection of shockable rhythms in automated external defibrillators
(Journal article; Peer reviewed, 2016-07)Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for ... -
Making sense of nonsense : Integrated gradient-based input reduction to improve recall for check-worthy claim detection
(CEUR Workshop Proceedings;, Chapter, 2023)Analysing long text documents of political discourse to identify check-worthy claims (claim detection) is known to be an important task in automated fact-checking systems, as it saves the precious time of fact-checkers, ... -
Methods for preprocessing time and distance series data from personal monitoring devices
(Peer reviewed; Journal article, 2020-06)There is a need to develop more advanced tools to improve guidance on physical exercise to reduce risk of adverse events and improve benefits of exercise. Vast amounts of data are generated continuously by Personal Monitoring ... -
Metric based virtual simulation training for endovascular thrombectomy improves interventional neuroradiologists’ simulator performance
(Peer reviewed; Journal article, 2022)Objective Metric based virtual reality simulation training may enhance the capability of interventional neuroradiologists (INR) to perform endovascular thrombectomy. As pilot for a national simulation study we examined ...