Browsing Vitenskapelige publikasjoner (TN-IDE) by Title
Now showing items 188-207 of 247
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Revenue Maximization of a Slice Broker in the Presence of Byzantine Faults
(Chapter, 2023)Multi-Access Edge Computing (MEC) and network slicing are vital for advancing the Fifth Generation (5G) of cellular systems. MEC provides context awareness and reduces the latency for communication. Network slicing allows ... -
Revenue-Model Learning for a Slice Broker in the Presence of Adversaries
(Chapter, 2023)Multi-Access Edge Computing (MEC) and network slicing two of the key enabling technologies of the Fifth Generation (5G) of cellular network. MEC helps to reduce latency, offload the cloud, and allow context-awareness. ... -
Revisiting Petri Net Modeling of the Cigarette Smokers' Problem: A GPenSIM Approach
(Conference object, 2013-11)Petri Nets is a family of modeling formalisms, with different interpretations and abstraction levels; the Petri nets family of modeling formalisms includes ordinary Petri Net, generalized Petri Net, and also all other ... -
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks
(Peer reviewed; Journal article, 2020-05)Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The objective of this study was to design ... -
Rhythm analysis during cardiopulmonary resuscitation: past, present, and future
(Journal article; Peer reviewed, 2014-01)Survival from out-of-hospital cardiac arrest depends largely on two factors: early cardiopulmonary resuscitation (CPR) and early defibrillation. CPRmust be interrupted for a reliable automated rhythmanalysis because chest ... -
Risk in the Age of Software Security
(Others, 2017)For general applications, it is way too costly to aim for 100 % secure software; for complex systems it may even be impossible. To achieve effective software security at reasonable cost, it is thus necessary to identify ... -
RiskTUN: An ICT-based Concept for a Risk-aware Decision Support System for Tunnel Safety
(Chapter, 2023)Safety in road tunnels are of utmost importance for the public notion of safety within the road system. In recent years, there has been significant progress in multiple areas of artificial intelligence, sensor fusion and ... -
Robust observer-based leader-following consensus for a class of nonlinear multi-agent systems: application to UAV formation control
(Peer reviewed; Journal article, 2021)This paper presents the design of a robust observer-based control for a class of nonlinear multi-agent systems. The leader-following consensus problem is solved in order for all the agents to follow the trajectory of a ... -
The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System
(Peer reviewed; Journal article, 2021-05)A smart city is an urban area that collects data using various electronic methods and sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to improve the quality of services by managing ... -
Saving Nine Without Stitching in Time: Integrity Check After-the-fact
(Chapter, 2021)Electrical substations transform voltage from high to low, or low to high for distribution and transmission, respectively, and are a critical part of our electricity infrastructure. The state of a substation is continuously ... -
Scanning the Medical Terrain : an aid to quicker adoption of guidelines
(Peer reviewed; Journal article, 2019)Guidelines exist in order to ensure efficient, effective and consistent provision of healthcare service. Unfortunately, existing guidelines are often not adopted in a timely manner, even to the point of being outdated at ... -
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
(Peer reviewed; Journal article, 2022)6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ... -
Security Hardening of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks
(Peer reviewed; Journal article, 2022-09-14)Next-generation communication networks, also known as NextG or 5G and beyond, are the future data transmission systems that aim to connect a large amount of Internet of Things (IoT) devices, systems, applications, and ... -
Security Incident Information Exchange for Cloud Service Provisioning Chains
(Journal article; Peer reviewed, 2018-12)Online services are increasingly becoming a composition of different cloud services, making incident-handling difficult, as Cloud Service Providers (CSPs) with end-user customers need information from other providers about ... -
Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020
(Chapter, 2020)This paper summarizes our participation in the SMART Task of the ISWC 2020 Challenge. A particular question we are interested in answering is how well neural methods, and specifically transformer models, such as BERT, ... -
Semi-supervised tissue segmentation of histological images
(Peer reviewed; Journal article, 2020-09)Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ... -
A service-oriented approach for developing adaptive distribution chain
(Journal article; Peer reviewed, 2007)This paper presents a service-oriented approach for development of adaptive distribution chain. The distribution chain presented in this paper achieves all the three objectives of an adaptive chain: Firstly, to achieve ... -
Shifting Hinf Linear Parameter Varying State-Feedback Controllers Subject to Time-Varying Input Saturations
(Peer reviewed; Journal article, 2021)This paper establishes a methodology based on linear matrix inequalities (LMIs) to design a shifting Hinf linear parameter varying (LPV) state-feedback controller for systems affected by time-varying input saturations. By ... -
Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis
(Peer reviewed; Journal article, 2020-04)Short-term load forecasting ensures the efficient operation of power systems besides affording continuous power supply for energy consumers. Smart meters that are capable of providing detailed information on buildings ... -
A Simplified Normalized Subband Adaptive Filter (NSAF) with NLMS-like complexity
(Chapter, 2022)The Normalized Subband Adaptive Filter (NSAF) is a popular algorithm exhibiting moderate computational complexity and enhanced convergence speed relative to the ubiquitous Normalized Least Mean Square (NLMS) algorithm. ...