SINTEF Digital: Nye registreringer
Viser treff 461-480 av 2523
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First among smart regions in Norway. Evaluation of Nordland's innovation strategy for smart specialisation 2014-2020
(SINTEF Rapport;2021:00004, Research report, 2021)A successful innovation in industrial development policy. The report evaluates Nordland County Council's innovation strategy (2014-2020), the first regional strategy for industrial development in Norway following the EU ... -
Suicidal ideation in patients with mental illness and concurrent substance use: analyses of national census data in Norway
(Peer reviewed; Journal article, 2022)Background: Suicidal ideation may signal potential risk for future suicidal behaviors and death. We examined the prevalence of recent suicidal ideation in patients with mental illness and concurrent substance use and ... -
A Novel Scalable Decision Tree Implementation on SoC Based FPGAs
(Chapter, 2022)Machine learning algorithms are rapidly growing in predictive maintenance and condition monitoring systems for valuable assets. Decision tree classification (DTC) is one of popular methods in condition monitoring systems ... -
Machine Learning for Fatigue Detection using Fitbit Fitness Trackers
(Chapter, 2022)Fatigue can be a pre-cursor to many illnesses and injuries, and cause fatal work-related incidents. Fatigue detection has been traditionally performed in lab conditions with stationary medical-grade diagnostics equipment ... -
Risk factors and navigation accidents: A historical analysis comparing accident-free and accident-prone vessels using indicators from AIS data and vessel databases
(Peer reviewed; Journal article, 2022)This paper presents the results of an explorative analysis aiming to identify indicators and factors associated with navigation accidents (groundings and collisions). The analysis compares cargo vessels with at least one ... -
Nondisturbing extremum seeking control for multi-agent industrial systems
(Peer reviewed; Journal article, 2022)Industrial applications of extremum seeking control (ESC) can be a hit and miss affair. Although a gain in performance can be achieved, the dither applied to excite the system causes unwanted fluctuations in the performance ... -
A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems
(Peer reviewed; Journal article, 2022)Low complexity of a system model is essential for its use in real-time applications. However, sparse identification methods commonly have stringent requirements that exclude them from being applied in an industrial setting. ... -
Perceived Causes of Work-Related Sick Leave Among Hospital Nurses in Norway: A Prepandemic Study
(Peer reviewed; Journal article, 2022)Background: Although sick leave is a complex phenomenon, it is believed that there is potential for prevention at the workplace. However, little is known about this potential and what specific measures should be implemented. ... -
Exploring the Association between Welfare State and Mental Wellbeing in Europe: Does Age Matter?
(Peer reviewed; Journal article, 2022)Previous research reports show mixed results regarding the age gradient in population mental wellbeing, which may be linked to the role that welfare states play. In this study, we investigate whether an age gradient exists ... -
Progress in 3D Silicon Radiation Detectors
(Peer reviewed; Journal article, 2022)In the past few years, there has been an increasing interest toward 3D silicon radiation detectors. Owing to their unique architecture, 3D detectors provide a remarkable radiation hardness at relatively low bias voltage ... -
Participation and Inclusion of Children and Youth with Disabilities in Local Communities
(Peer reviewed; Journal article, 2022)This research aimed at strengthening the evidence base for interventions to promote the participation and inclusion of children and youth with disabilities in their communities. Four selected municipalities in four different ... -
Skognæringens verdiskaping i kystfylkene - Verdiskaping i kystskogbruket
(SINTEF Rapport;2021:00863, Research report, 2021)Rapporten viser utvikling i produksjonsverdier, verdiskaping og sysselsetting i ulike deler av skognæringene i kystfylkene i Norge i perioden 2008-2018. Gjennomgående har utviklingen vært mer positiv i kystfylkene enn ... -
Recurrent neural network with density-based clustering for group pattern detection in energy systems
(Peer reviewed; Journal article, 2022)This research explores a new direction in power system technology and develops a new framework for pattern group discovery from large power system data. The efficient combination between the recurrent neural network and ... -
Methods for calculating maximum levels in Norway using Cnossos-EU.
(SINTEF Rapport;2021:00990, Research report, 2021)Cnossos-EU is a new European calculation method for noise levels from road traffic, railway traffic, industry and aircraft sources. Its objective is to ensure more uniform noise level calculations across Europe. Cnossos ... -
Combining hybrid genetic search with ruin-and-recreate for solving the capacitated vehicle routing problem
(Peer reviewed; Journal article, 2022)The Capacitated Vehicle Routing Problem (CVRP) has been subject to intense research efforts for more than sixty years. Yet, significant algorithmic improvements are still being made. The most competitive heuristic solution ... -
Premisser for digitalisering og integrasjon IT-OT
(SINTEF Rapport;2021:00057, Research report, 2021)Formålet med denne rapporten er å gi næringen økt forståelse av pågående digitalisering, status og utfordringer, og hvordan denne utviklingen bør styres videre. Denne rapporten er en av seks SINTEF-rapporter fra prosjektet: ... -
Predicting the Biological Effects of Human Salivary Gland Tumour Cells for Scanned 4He-, 12C-, 16O-, and 20Ne-Ion Beams Using an SOI Microdosimeter
(Peer reviewed; Journal article, 2022)Experimental microdosimetry along with the microdosimetric kinetic (MK) model can be utilized to predict the biological effects of ions. To predict the relative biological effectiveness (RBE) of ions and the survival ... -
Smoking habits, awareness and support needs for cessation among people with multiple sclerosis in Australia: findings from an online survey
(Peer reviewed; Journal article, 2022)Objectives:To assess smoking habits, nicotine use, exposure to passive smoking, awareness of associated harms, and experiences with and preferences for smoking cessation support among people with multiple sclerosis ... -
Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism
(Peer reviewed; Journal article, 2022)In this paper, we present a novel paradigm for disease detection. We build an artificial intelligence based system where various biomedical data are retrieved from distributed and homogeneous sensors. We use different deep ... -
Vehicle detection using improved region convolution neural network for accident prevention in smart roads
(Peer reviewed; Journal article, 2022)This paper explores the vehicle detection problem and introduces an improved regional convolution neural network. The vehicle data (set of images) is first collected, from which the noise (set of outlier images) is removed ...