Search Results - "Wiktorski, Tomasz"

A Survey on Distributed Fibre Optic Sensor Data Modelling Techniques and Machine Learning Algorithms for Multiphase Fluid Flow Estimation by Arief, Hasan Asy'ari, Wiktorski, Tomasz, Thomas, Peter James

“…Real-time monitoring of multiphase fluid flows with distributed fibre optic sensing has the potential to play a major role in industrial flow measurement…”
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Artifact Correction in Short-Term HRV during Strenuous Physical Exercise by Królak, Aleksandra, Wiktorski, Tomasz, Bjørkavoll-Bergseth, Magnus Friestad, Ørn, Stein

“…Heart rate variability (HRV) analysis can be a useful tool to detect underlying heart or even general health problems. Currently, such analysis is usually…”
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Extended approach to sum of absolute differences method for improved identification of periods in biomedical time series by Wiktorski, Tomasz, Królak, Aleksandra

“…Time series are a common data type in biomedical applications. Examples include heart rate, power output, and ECG. One of the typical analysis methods is to…”
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Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction by Svane, Jakob, Wiktorski, Tomasz, Ørn, Stein, Eftestøl, Trygve Christian

“…Heart rate variability (HRV) is the variation in time between successive heartbeats and can be used as an indirect measure of autonomic nervous system (ANS)…”
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Determinants of Interindividual Variation in Exercise-Induced Cardiac Troponin I Levels by Bjørkavoll-Bergseth, Magnus, Erevik, Christine Bjørkvik, Kleiven, Øyunn, Eijsvogels, Thijs M H, Skadberg, Øyvind, Frøysa, Vidar, Wiktorski, Tomasz, Auestad, Bjørn, Edvardsen, Thor, Aakre, Kristin Moberg, Ørn, Stein

“…Background Postexercise cardiac troponin levels show considerable interindividual variations. This study aimed to identify the major determinants of this…”
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Visualization of Generic Utility of Sequential Patterns by Wiktorski, Tomasz, Krolak, Aleksandra, Rosinska, Karolina, Strumillo, Pawel, Lin, Jerry Chun-Wei

“…Most of the literature on utility pattern mining (UPM) assumes that the particular patterns' utility in known in advance. Concurrently, in frequent pattern…”
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Methods for preprocessing time and distance series data from personal monitoring devices by Wiktorski, Tomasz, Bjørkavoll-Bergseth, Magnus, Ørn, Stein

“…There is a need to develop more advanced tools to improve guidance on physical exercise to reduce risk of adverse events and improve benefits of exercise. Vast…”
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Automatic analysis of X (Twitter) data for supporting depression diagnosis by Królak, Aleksandra, Wiktorski, Tomasz, Żmudzińska, Aleksandra

“…Depression is an increasingly common problem that often goes undiagnosed. The aim of this paper was to determine whether an analysis of tweets can serve as a…”
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Adaptive real‐time anomaly detection in cloud infrastructures by Agrawal, Bikash, Wiktorski, Tomasz, Rong, Chunming

“…Summary Cloud computing has become increasingly popular, which has led many individuals and organizations towards cloud storage systems. This move is motivated…”
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Better Modeling Out-of-Distribution Regression on Distributed Acoustic Sensor Data Using Anchored Hidden State Mixup by Arief, Hasan Asy'ari, Thomas, Peter James, Wiktorski, Tomasz

“…Generalizing the application of machine learning models to situations where the statistical distribution of training and test data are different has been a…”
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Machine Learning Methods For Classification of Individuals With Coronary Artery Calcification by Svane, Jakob, Wiktorski, Tomasz, Eftestol, Trygve, Orn, Stein

“…Coronary artery calcification (CAC) due to coronary artery disease (CAD) poses significant risks of heart attack, sudden cardiac death, and other cardiac…”
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Improving predictive models for rate of penetration in real drilling operations through transfer learning by Pacis, Felix James, Ambrus, Adrian, Alyaev, Sergey, Khosravanian, Rasool, Kristiansen, Tron Golder, Wiktorski, Tomasz

“…The rate of penetration (ROP) is a key performance indicator in the oil and gas drilling industry as it directly translates to cost savings and emission…”
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Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework by Tunkiel, Andrzej T., Sui, Dan, Wiktorski, Tomasz

“…Recurrent neural networks (RNN), which are able to capture temporal natures of a signal, are becoming more common in machine learning applied to petroleum…”
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The relationship between workload and exercise‐induced cardiac troponin elevations is influenced by non‐obstructive coronary atherosclerosis by Bjorkavoll‐Bergseth, Magnus, Erevik, Christine, Kleiven, Øyunn, Wiktorski, Tomasz, Auestad, Bjørn, Skadberg, Øyvind, Aakre, Kristin M., Eijsvogels, Thijs M. H., Ørn, Stein

“…The relationship between exercise‐induced troponin elevation and non‐obstructive coronary artery disease (CAD) is unclear. This observational study assessed…”
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Data-driven sensitivity analysis of complex machine learning models: A case study of directional drilling by Tunkiel, Andrzej T., Sui, Dan, Wiktorski, Tomasz

“…Classical sensitivity analysis of machine learning regression models is a topic sparse in literature. Most of data-driven models are complex black boxes with…”
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Reference dataset for rate of penetration benchmarking by Tunkiel, Andrzej T., Sui, Dan, Wiktorski, Tomasz

“…In recent years, there were multiple papers published related to rate of penetration prediction using machine learning vastly outperforming analytical methods…”
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Bridging the demand and the offer in data science by Belloum, Adam S.Z., Koulouzis, Spiros, Wiktorski, Tomasz, Manieri, Andrea

“…Summary During the last several years, we have observed an exponential increase in the demand for Data Scientists in the job market. As a result, a number of…”
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Training-while-drilling approach to inclination prediction in directional drilling utilizing recurrent neural networks by Tunkiel, Andrzej T., Sui, Dan, Wiktorski, Tomasz

“…Machine Learning adoption within drilling is often impaired by the necessity to train the model on data collected from wells analogous in lithology and…”
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EDISON Data Science Framework (EDSF): Addressing Demand for Data Science and Analytics Competences for the Data Driven Digital Economy by Demchenko, Yuri, Jose, Cuadrado Gallego Juan, Brewer, Steve, Wiktorski, Tomasz

“…Emerging data driven economy including industry, research and business, requires new types of specialists that are capable to support all stages of the data…”
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Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses by Wiktorski, Tomasz, Demchenko, Yuri, Chertov, Oleg

“…This paper presents experiences of development and teaching three different types of Big Data Infrastructure courses as a part of the general Data Science…”
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