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Predicting High Delays in Mobile Broadband Networks
(IEEE Access;Volume 9: 2021, Peer reviewed; Journal article, 2021-12-24)The number of applications that run over mobile networks, expecting bounded end-to-end delay, is increasing steadily. However, the stochastic and shared nature of the wireless medium makes providing such guarantees ... -
Predicting missing pairwise preferences from similarity features in group decision making
(Knowledge-Based Systems;Volume 256, 28 November 2022, 109860, Peer reviewed; Journal article, 2022)In group decision-making (GDM), fuzzy preference relations (FPRs) refer to pairwise preferences in the form of a matrix. Within the field of GDM, the problem of estimating missing values is of utmost importance, since many ... -
Predicting moisture condensation risk on the radiant cooling floor of an office using integration of a genetic algorithm-back-propagation neural network with sensitivity analysis
(Journal article; Peer reviewed, 2022)Pre-dehumidification time (𝜏�pre ) and pre-dehumidification energy consumption (Epre ) play important roles in preventing the condensation of moisture on the floors of rooms that use a radiant floor cooling (RFC) ... -
Predicting peek readiness-to-train of soccer players using long short-term memory recurrent neural networks
(International Workshop on Content-Based Multimedia Indexing, CBMI;, Conference object, 2019)We are witnessing the emergence of a myriad of hardware and software systems that quantifies sport and physical activities. These are frequently touted as game changers and important for future sport developments. The vast ... -
Predicting performance and scaling behaviour in a data center with multiple application servers
(Master thesis, 2006)As web pages become more user friendly and interactive we see that objects such as pictures, media files, cgi scripts and databases are more frequently used. This development causes increased stress on the servers due ... -
Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach
(Bioresource Technology;, Peer reviewed; Journal article, 2022)Screening of suitable microbe-nutrient combination and prediction of oil recovery at the initial stage is essential for the success of Microbial Enhanced Oil Recovery (MEOR) technique. However, experimental and physics-based ... -
Predicting Psychological Distress During the COVID-19 Pandemic: Do Socioeconomic Factors Matter?
(Peer reviewed; Journal article, 2022) -
Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning
(International Conference on Applied Artificial Intelligence (ICAPAI);2021 International Conference on Applied Artificial Intelligence (ICAPAI), Conference object, 2021-06-29)Topside piping is the most commonly failed equipment in the Petroleum and Maritime industry. The prominent degradation mechanism causing piping failure is fatigue which results in unnecessary hydrocarbon release from these ... -
Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults
(IEEE Access;Volume 7, Journal article; Peer reviewed, 2019-08-08)We present a comprehensive study of state-of-the-art algorithms for the prediction of sensor events and activities of daily living in smart homes. Data have been collected from eight smart homes with real users and 13-17 ... -
Predicting stable employment trajectories among young people with disabilities
(Peer reviewed; Journal article, 2023)Research aiming to explain disabled people’s inequalities in the labour market has primarily focused on transitional factors between school and work, wage gaps, or socioeconomic background characteristics as expla- nations ... -
Predicting suicide attempts among Norwegian adolescents without using suicide-related items: a machine learning approach
(Journal article; Peer reviewed, 2023)Introduction: Research on the classification models of suicide attempts has predominantly depended on the collection of sensitive data related to suicide. Gathering this type of information at the population level can be ... -
Predicting TCP congestion through active and passive measurments
(Master thesis, 2005)The Transmission Control Protocol (TCP) has proved to be a reliable transport protocol that has withstood the test of time. It is part of the TCP/IP protocol suite deployed on the Internet, and it currently supports a ... -
Predicting the future competence needs in working life: Didactical implications for VET in Norway
(International Journal for Research in Vocational Education and Training;Vol. 7 No. 2 (2020), Peer reviewed; Journal article, 2020-08-11)Context: Two major challenges in professional and vocational education (VET) are low levels of relevance and coherence between the content of the educational program and developing competence in working life. This article ... -
Predicting who fails to meet the physicalactivity guideline in pregnancy: aprospective study of objectively recordedphysical activity in a population-basedmulti-ethnic cohort
(Journal article; Peer reviewed, 2016)Background: A low physical activity (PA) level in pregnancy is associated with several adverse health outcomes. Early identification of pregnant women at risk of physical inactivity could inform strategies to promote PA, ... -
Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis
(Sustainable Cities and Society (SCS);Volume 83, August 2022, 103981, Peer reviewed; Journal article, 2022-06-14)This study investigates approaches to evaluate prediction and correlation how significantly mechanical and natural ventilation rate and local weather conditions affect the actual ventilation performance of a residential ... -
Prediction models for bond strength of steel reinforcement with consideration of corrosion
(Materials Today: Proceedings;Volume 45, Part 6, Peer reviewed; Journal article, 2021-04-02)Corrosion phenomena is one of the main deterioration causes, which remarkably affects the behavior of structural reinforced concrete (RC) members in seismic regions. Researches on reducing rehabilitation cost, performance ... -
Prediction Models for Thermal Conductivity of Cement-based Composites
(Nordic Concrete Research;No. 58 – 1/2018, Journal article; Journal article; Peer reviewed, 2018-10-25)Cement-based materials are the most consumed materials in the construction industry. Low or high thermal conductive cement-based materials are of interest in applications such as embedded floor heating systems, building ... -
Prediction of Age Older than 18 Years in Sub-adults by MRI Segmentation of 1st and 2nd Molars
(Journal article; Peer reviewed, 2023)Purpose To investigate prediction of age older than 18 years in sub-adults using tooth tissue volumes from MRI segmenta- tion of the entire 1st and 2nd molars, and to establish a model for combining information from two ... -
Prediction of cloud fractional cover using machine learning
(Big Data and Cognitive Computing;Volume 5 / Issue 4, Peer reviewed; Journal article, 2021-11-03)Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming ... -
Prediction of CYP2D6 poor metabolizers by measurements of solanidine and metabolites—a study in 839 patients with known CYP2D6 genotype
(Peer reviewed; Journal article, 2023)Purpose Poor metabolizers (PMs) of the highly polymorphic enzyme CYP2D6 are usually at high risk of adverse effects during standard recommended dosing of CYP2D6-metabolized drugs. We studied if the metabolism of solanidine, ...