Browsing Øvrige samlinger by Title
Now showing items 20009-20028 of 40057
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Ionic liquid additives in water-based lubricants for bearing steel – effect of electrical conductivity and pH on surface chemistry, friction and wear
(Journal article; Peer reviewed, 2022) -
Ionic Liquids as Additives in Water‑Based Lubricants: From Surface Adsorption to Tribofilm Formation
(Peer reviewed; Journal article, 2020)Ionic liquids (ILs) are potential lubricant additives that can potentially perform simultaneously as friction modifiers and anti-wear agents. In addition, they possess good thermal stability, they are non-flammable, they ... -
Ionic liquids as boundary additives in water-based and PAO lubricants
(Peer reviewed; Journal article, 2021)Ionic liquids have been widely discussed as potential lubricants, however, their properties make them also very good potential candidates as lubricant additives (e.g., friction modifiers and anti-wear). In this work, the ... -
Ionomer content optimization in nickel-iron-based anodes with and without ceria for anion exchange membrane water electrolysis
(Journal article; Peer reviewed, 2021)Hydrogen production from anion exchange membrane water electrolysis (AEMWE) is an efficient cost-effective solution to renewable energy storage. Contrary to proton exchange membrane (PEM) electrolysis, AEMWE requires further ... -
IoT Capabilities in Regaining Travelers’ Confidence Through Touchless Travel: An Empirical Study for the Revival of the Airline Sector
(Peer reviewed; Journal article, 2023) -
IoT Digital Forensics Readiness in the Edge: A Roadmap for Acquiring Digital Evidences from Intelligent Smart Applications
(Chapter, 2020)Entering the era of the Internet of Things, the traditional Computer Forensics is no longer as trivial as decades ago with a rather limited pool of possible computer components. It has been demonstrated recently how the ... -
IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning
(Chapter, 2019)We describe IoT Sensor Gym, a framework to train the behavior of constrained IoT devices using deep reinforcement learning. We focus on the main architectural choices to align problems from the IoT domain with cutting-edge ... -
IoT Vulnerability Scanning: A State of the Art
(Chapter, 2020)Our modern life becomes more and more dependent on tech-nology and services provided through an increasing number of deployed devices «Things» which are connected over networks that can sometimes be accessed remotely via ... -
IoT-based Monitoring in Carbon Capture and Storage Systems
(Journal article, 2022)Carbon capture and storage (CCS) is critical for climate-change policies and strategies targeting global warming within the Paris Agreement. The overarching technological requirements are well described in the strategic ... -
IoTective: Automated Penetration Testing for Smart Home Environments
(Chapter, 2024) -
IoT‑based hydrological monitoring of water‑induced landslides: a case study in central Norway
(Peer reviewed; Journal article, 2022)Water-induced landslides pose a great risk to the society in Norway due to their high frequency and capacity to evolve in destructive debris flows. Hydrological monitoring is a widely employed method to understand the ... -
The Iowa Personality Disorder Screen: A validation study in a psychiatric population that receives long-term group psychotherapy for personality related problems
(Journal article; Peer reviewed, 2018)Personality disorder (PD) is common among psychiatric patients, and diagnosing such disorders is of great importance for the choice of treatment. Diagnosing PD is a demanding and time-consuming process. The utilities of ... -
IP-10 differentiates between active and latent tuberculosis irrespective of HIV status and declines during therapy
(Journal article; Peer reviewed, 2015)Objectives: Biomarkers for diagnosis and therapy efficacy in tuberculosis (TB) are requested. We have studied biomarkers that may differentiate between active and latent TB infection (LTBI), the influence of HIV infection ... -
IPD governance implications
(Chapter, 2019)Interest in project-management (PM) governance has grown steadily over the past decade. Turner (2006) introduced, over a decade ago, the role of governance (based on a definition of corporate governance) in the development ... -
Ipilimumab in a real-world population: A prospective Phase IV trial with long-term follow-up
(Peer reviewed; Journal article, 2021)Ipilimumab was the first treatment that improved survival in advanced melanoma. Efficacy and toxicity in a real-world setting may differ from clinical trials, due to more liberal eligibility criteria and less intensive ... -
iPROCESS innovation - Innovative and Flexible Food Processing Technology in Norway - 2020:00981 A
(Research report, 2020)To develop novel concepts and methods for flexible and sustainable food processing in Norway with the aim of coping with small volume series and high biological variation in existing raw materials, to enable increased raw ... -
IRIS Conference Health Check. Traditions, tensions, and reformations
(Peer reviewed; Journal article, 2020)Regional conferences support researchers to network in a cost-efficient way. Quite often, such conferences become tight communities where friends and colleagues meet and share ideas regularly, year after year. However, ... -
Iris Recognition in Visible Wavelength: Impact and automated Detection of Glasses
(Chapter, 2018)The prevalence of visual impairment around the world is rapidly increasing, causing large numbers of people to wear glasses. Glasses are generally considered an important noise source in iris recognition; under objective ... -
Irisin reduces orthodontic tooth movement in rats by promoting the osteogenic potential in the periodontal ligament
(Peer reviewed; Journal article, 2023)Objectives Positive effects of irisin on osteogenic differentiation of periodontal ligament (PDL) cells have been identified previously, this study aims to examine its effect on orthodontic tooth movement (OTM) in ... -
IRL-Net: Inpainted Region Localization Network via Spatial Attention
(Journal article; Peer reviewed, 2023)Identifying manipulated regions in images is a challenging task due to the existence of very accurate image inpainting techniques leaving almost unnoticeable traces in tampered regions. These image inpainting methods can ...