Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "Scientific Reports"
Viser treff 1-20 av 46
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A novel role for pigment genes in the stress response in rainbow trout (Oncorhynchus mykiss)
(Journal article; Peer reviewed, 2016)In many vertebrate species visible melanin-based pigmentation patterns correlate with high stress- and disease-resistance, but proximate mechanisms for this trait association remain enigmatic. Here we show that a missense ... -
Action Representation in the Mouse Parieto-Frontal Network
(Peer reviewed; Journal article, 2020)The posterior parietal cortex (PPC) and frontal motor areas comprise a cortical network supporting goal-directed behaviour, with functions including sensorimotor transformations and decision making. In primates, this network ... -
Arabidopsis myrosinases link the glucosinolate-myrosinase system and the cuticle.
(Journal article; Peer reviewed, 2016)Both physical barriers and reactive phytochemicals represent two important components of a plant’s defence system against environmental stress. However, these two defence systems have generally been studied independently. ... -
Assessing short-term risk of ischemic stroke in relation to all prescribed medications
(Peer reviewed; Journal article, 2021)We examined the short-term risk of stroke associated with drugs prescribed in Norway or Sweden in a comprehensive, hypothesis-free manner using comprehensive nation-wide data. We identified 27,680 and 92,561 cases with a ... -
Automated methodology for optimal selection of minimum electrode subsets for accurate EEG source estimation based on Genetic Algorithm optimization
(Peer reviewed; Journal article, 2022)High-density Electroencephalography (HD-EEG) has proven to be the EEG montage that estimates the neural activity inside the brain with highest accuracy. Multiple studies have reported the effect of electrode number on ... -
Automatic segmentation tool for 3D digital rocks by deep learning
(Peer reviewed; Journal article, 2021)Obtaining an accurate segmentation of images obtained by computed microtomography (micro-CT) techniques is a non-trivial process due to the wide range of noise types and artifacts present in these images. Current methodologies ... -
Causal connections between socioeconomic disparities and COVID-19 in the USA
(Peer reviewed; Journal article, 2022)With the increasing use of machine learning models in computational socioeconomics, the development of methods for explaining these models and understanding the causal connections is gradually gaining importance. In this ... -
Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match
(Peer reviewed; Journal article, 2021)This study investigated the efects of inspiratory muscle pre-activation (IMPA) on the interactions among the technical-tactical, physical, physiological, and psychophysiological parameters in a simulated judo match, based ... -
Correlation challenges for North Sea offshore wind power: a Norwegian case study
(Peer reviewed; Journal article, 2023)Offshore wind power projects are currently booming around the North Sea. However, there are inherent correlation challenges between wind farms in this area, which has implications for the optimal composition of locations ... -
Corresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players
(Peer reviewed; Journal article, 2020)Besides technical and tactical aspects, basketball matches involve high aerobic and anaerobic capacities, conferring the final performance of a team. Thus, the evaluation of physical and technical responses is an effective ... -
Detection of Parkinson’s disease from EEG signals using discrete wavelet transform, different entropy measures, and machine learning techniques
(Peer reviewed; Journal article, 2022)Early detection of Parkinson’s disease (PD) is very important in clinical diagnosis for preventing disease development. In this study, we present efficient discrete wavelet transform (DWT)-based methods for detecting PD ... -
Development of risk models of incident hypertension using machine learning on the HUNT study data
(Journal article; Peer reviewed, 2024)In this study, we aimed to create an 11-year hypertension risk prediction model using data from the Trøndelag Health (HUNT) Study in Norway, involving 17 852 individuals (20–85 years; 38% male; 24% incidence rate) with ... -
Energy-efficiency of Cardiomyocyte Stimulation with Rectangular Pulses
(Journal article; Peer reviewed, 2019)In cardiac pacemaker design, energy expenditure is an important issue. This work aims to explore whether varying stimulation pulse configuration is a viable optimization strategy for reducing energy consumption by the ... -
Environmental DNA filtration techniques affect recovered biodiversity
(Journal article; Peer reviewed, 2018)Freshwater metazoan biodiversity assessment using environmental DNA (eDNA) captured on filters offers new opportunities for water quality management. Filtering of water in the field is a logistical advantage compared to ... -
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images
(Peer reviewed; Journal article, 2023)Wireless Capsule Endoscopy (WCE) is being increasingly used as an alternative imaging modality for complete and non-invasive screening of the gastrointestinal tract. Although this is advantageous in reducing unnecessary ... -
Football player dominant region determined by a novel model based on instantaneous kinematics variables
(Journal article; Peer reviewed, 2021)Dominant regions are defned as regions of the pitch where a player can reach before any other and are commonly determined without considering the free-spaces in the pitch. We presented an approach to football players’ ... -
Forensic analysis of beverage stains using hyperspectral imaging
(Peer reviewed; Journal article, 2021)Documentation and analysis of crime scene evidences are of great importance in any forensic investigation. In this paper, we present the potential of hyperspectral imaging (HSI) to detect and analyze the beverage stains ... -
From labels to priors in capsule endoscopy: a prior guided approach for improving generalization with few labels
(Peer reviewed; Journal article, 2022)The lack of generalizability of deep learning approaches for the automated diagnosis of pathologies in Wireless Capsule Endoscopy (WCE) has prevented any significant advantages from trickling down to real clinical practices. ... -
Gene expression in blood reflects smoking exposure among cancer-free women in the Norwegian Women and Cancer (NOWAC) postgenome cohort
(Journal article; Peer reviewed, 2021)Active smoking has been linked to modulated gene expression in blood. However, there is a need for a more thorough understanding of how quantitative measures of smoking exposure relate to differentially expressed genes ... -
Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning
(Journal article; Peer reviewed, 2021)Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based ...