Blar i Vitenskapelige publikasjoner (TN-IDE) på tittel
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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 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 ... -
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 ... -
Extended Overview of the Living Labs for Information Retrieval Evaluation (LL4IR) CLEF Lab 2015
(Journal article, 2015)In this extended overview paper we discuss the first Living Labs for Information Retrieval Evaluation (LL4IR) lab which was held at CLEF 2015. The idea with living labs is to provide a benchmarking platform for researchers ... -
An Extensible Framework for Implementing and Validating Byzantine Fault-tolerant Protocols
(Chapter, 2023-06)HotStuff is a Byzantine fault-tolerant state machine replication protocol that incurs linear communication costs to achieve consensus. This linear scalability promoted the protocol to be adopted as the consensus mechanism ... -
Extracting Petri Modules From Large and Legacy Petri Net Models
(Peer reviewed; Journal article, 2020)Petri nets, even though very useful for modeling of discrete event systems, suffer from some weaknesses such as huge size, huge state space, and slow in simulation. Due to the huge state space, model checking a Petri net ... -
Factors Affecting the Course of Resuscitation From Cardiac Arrest With Pulseless Electrical Activity in Children and Adolescents
(Peer reviewed; Journal article, 2020)Background: Although in-hospital pediatric cardiac arrests and cardiopulmonary resuscitation occur >15,000/year in the US, few studies have assessed which factors affect the course of resuscitation in these patients. We ... -
Fault-Tolerant Control Based on Virtual Actuator and Sensor for Discrete-Time Descriptor Systems
(Peer reviewed; Journal article, 2020)This article proposes a fault-tolerant control (FTC) strategy based on virtual actuator and sensor for discrete-time descriptor systems subject to actuator and sensor faults. The fault-tolerant closed-loop system, which ... -
Field Telemetry Drilling Dataset Modeling with Multivariable Regression, Group Method Data Handling, Artificial Neural Network, and the Proposed Group-Method-Data-Handling-Featured Artificial Neural Network
(Peer reviewed; Journal article, 2024)This paper presents data-driven modeling and a results analysis. Group method data handling (GMDH), multivariable regression (MVR), artificial neuron network (ANN), and new proposed GMDH-featured ANN machine learning ... -
Finding Clusters in Petri Nets An approach based on GPenSIM
(Peer reviewed; Journal article, 2019)Graph theory provides some methods for finding clusters in networks. Clusters reflect the invisible grouping of the elements in a network. This paper presents a new method for finding clusters in networks. In this method, ... -
Fog Computing for Realizing Smart Neighborhoods in Smart Grids
(Peer reviewed; Journal article, 2020-09)Cloud Computing provides on-demand computing services like software, networking, storage, analytics, and intelligence over the Internet (“the cloud”). But it is facing challenges because of the explosion of the Internet ... -
Formal Verification of HotStuff
(Chapter, 2021)HotStuff is a recent algorithm for repeated distributed consensus used in permissioned blockchains. We present a simplified version of the HotStuff algorithm and verify its safety using both Ivy and the TLA Proof Systems ... -
Frå transistor til datamaskin
(Notater fra Universitetet i Stavanger;39, Report, 2018-04)Dette skrivet prøver å gi ei forståing av korleis datamaskinar er oppbygde og virkar. Ein ser også på korleis ein kan programmera mindre datamaskinar brukte til styring og overvaking av prosessar. Skrivet er laga for bruk ... -
From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track
(Chapter, 2023)This paper reports on an effort of reproducing the organizers’ baseline as well as the top performing participant submission at the 2021 edition of the TREC Conversational Assistance track. TREC systems are commonly regarded ... -
FRP pipeline performance in tensional and torsional S-lay installation loads
(Peer reviewed; Journal article, 2021)The loading conditions of a composite pipeline is the main factor for its dimensioning. During S-lay offshore installation of multilayered FRP pipelines, severe tensional and torsional loads take place in the above sea ... -
Gain-scheduled observer-based consensus for linear parameter varying multi-agent systems
(Peer reviewed; Journal article, 2022)This paper investigates the gain-scheduled observer-based consensus of linear parameter varying (LPV) multi-agent systems (MASs). The main contribution of the paper is that, differently from LPV observer-based consensus ... -
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems
(Journal article, 2023)A key distinguishing feature of conversational recommender systems over traditional recommender systems is theirability to elicit user preferences using natural language. Currently, the predominant approach to preference ... -
Geometrical modeling for material flow management
(Journal article; Peer reviewed, 2010)Theory of Connection is based on geometry, and has been used to solve many problems in engineering, economics, and in management. In this paper, firstly, the theory of connection is introduced. Secondly, a toolbox of ... -
GPensim: a new petri net simulator
(Chapter; Peer reviewed, 2010)