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Prediction of longitudinal seam weld quality in multi-chamber aluminium extrusion
(Journal article; Peer reviewed, 2024)In the extrusion of complex multi-chamber profiles, the longitudinal seam (L-seam) weld quality is significantly affected by the thermo-mechanical history and the ‘local’ formation conditions under which the weld is produced ... -
Prediction of mortality in adult patients with severe acute lung failure receiving veno-venous extracorporeal membrane oxygenation: A prospective observational study
(Journal article; Peer reviewed, 2014)Introduction Veno-venous extracorporeal membrane oxygenation (vvECMO) can be a life-saving therapy in patients with severe acute lung failure refractory to conventional therapy. Nevertheless, vvECMO is a procedure associated ... -
Prediction of necking for two aluminum alloys under non-proportional loading by using an FE-based approach
(Journal article; Peer reviewed, 2008)Forming Limit Diagrams (FLDs) were found numerically for sheets under non-proportional loading by means of an FE-based Marciniak–Kuczynski (M-K) analysis. The material model used in the analysis includes two instability ... -
Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning
(Journal article; Peer reviewed, 2018)Objective Use of opioids for pain management has increased over the past decade; however, inadequate analgesic response is common. Genetic variability may be related to opioid efficacy, but due to the many possible ... -
Prediction of Orthotropic Hygroscopic Swelling of Fiber-Reinforced Composites from Isotropic Swelling of Matrix Polymer
(Journal article; Peer reviewed, 2019)Swelling in fiber-reinforced composites is anisotropic. In this work, dealing with glass fiber epoxy composite immersed in distilled water, swelling coefficients are obtained in each direction experimentally. Swelling ... -
Prediction of outcome from MRI and general movements assessment after hypoxic-ischaemic encephalopathy in low-income and middle-income countries: data from a randomised controlled trial
(Peer reviewed; Journal article, 2021)Objective To evaluate the accuracy of neonatal MRI and general movements assessment (GMA) in predicting neurodevelopmental outcomes in infants with hypoxic-ischaemic encephalopathy (HIE). Design Secondary analyses of a ... -
Prediction of realized volatility and implied volatility indices using AI and machine learning: A review
(Journal article; Peer reviewed, 2024)In this systematic literature review, we examine the existing studies predicting realized volatility and implied volatility indices using artificial intelligence and machine learning. We survey the literature in order to ... -
Prediction of recurrence from metabolites and expression of TOP2A and EZH2 in prostate cancer patients treated with radiotherapy
(Peer reviewed; Journal article, 2023)Background The dual upregulation of TOP2A and EZH2 gene expression has been proposed as a biomarker for recurrence in prostate cancer patients to be treated with radical prostatectomy. A low tissue level of the metabolite ... -
Prediction of severe reflux after oesophageal cancer surgery
(Journal article; Peer reviewed, 2021) -
Prediction of shale gas reservoirs using fluid mobility attribute driven by post-stack seismic data: A case study from Southern China
(Peer reviewed; Journal article, 2021)Paleozoic marine shale gas resources in Southern China present broad prospects for exploration and development. However, previous research has mostly focused on the shale in the Sichuan Basin. The research target of this ... -
Prediction of ships’ speed-power relationship at speed intervals below the design speed
(Peer reviewed; Journal article, 2021) -
Prediction of short-term wind and wave conditions for marine operations using a multi-step-ahead decomposition-ANFIS model and quantification of its uncertainty
(Journal article; Peer reviewed, 2019)Short-term predictions of wind and wave properties with a duration of 1–3 days are vital for decision-making during the execution of marine operations. One-step-ahead weather conditions can be accurately predicted via ... -
Prediction of Short-term Wind and Wave Conditions Using Adaptive Network-based Fuzzy Inference System (ANFIS) for Marine Operations
(Chapter, 2018)The paper focuses on prediction of short-term environmental conditions by using an improved ANFIS method for marine operations. The hindcast data used here consists of ten-year long one-hourly time series of mean wind speed ... -
Prediction of Student's Performance With Learning Coefficients Using Regression Based Machine Learning Models
(Peer reviewed; Journal article, 2023)Advanced machine learning (ML) methods can predict student’s performance with key features based on academic, behavioral, and demographic data. Significant works have predicted the student’s performance based on the primary ... -
Prediction of upper extremity peak oxygen consumption from heart rate during submaximal arm cycling in young and middle-aged adults
(Peer reviewed; Journal article, 2019)Based on the strong linear relationship between heart rate (HR) and oxygen consumption, the Åstrand–Ryhming cycle ergometer test (Astrand and Ryhming in J Appl Physiol 7:218–221, 1954) is a widely used submaximal test to ... -
Prediction of Vehicle Crashworthiness Parameters Using Piecewise Lumped Parameters and Finite Element Models
(Journal article; Peer reviewed, 2018)Estimating the vehicle crashworthiness experimentally is expensive and time-consuming. For these reasons, different modelling approaches are utilised to predict the vehicle behaviour and reduce the need for full-scale crash ... -
Prediction of Ventricular Arrhythmias by QRS/QTc - Ratio in Citalopram or Escitalopram Intoxication
(Peer reviewed; Journal article, 2022)Background: The U.S. Food and Drug Administration (FDA) has stated that citalopram and escitalopram should not be used at daily doses above 40 mg/20 mg due to risk for development of fatal ventricular arrhythmias like ... -
Prediction of VO2max from submaximal exercise using the smartphone application myworkout GO : validation study of a digital health method
(Peer reviewed; Journal article, 2022)Background: Physical inactivity remains the largest risk factor for the development of cardiovascular disease worldwide. Wearable devices have become a popular method of measuring activity-based outcomes and facilitating ... -
Prediction of Width and Thickness of Injection Molded Parts Using Machine Learning Methods
(Chapter, 2021)Injection molding is one of the major processes applied for production of thermoplastic products. Thermoplastic materials are used in manufacturing of dozens of products seen in everyday life, such as: car bumpers, children ... -
Predictions of Pre-edge Features in Time-Resolved Near-Edge X-ray Absorption Fine Structure Spectroscopy from Hole–Hole Tamm–Dancoff-Approximated Density Functional Theory
(Journal article, 2021)Time-resolved near-edge X-ray absorption fine structure (TR-NEXAFS) spectroscopy is a powerful technique for studying photochemical reaction dynamics with femtosecond time resolution. In order to avoid ambiguity in TR-NEXAFS ...