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Compressed sensing MRI reconstruction from 3D multichannel data using GPUs

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1 Published in 2017 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.26636

Abstract: To accelerate iterative reconstructions of compressed sensing (CS) MRI from 3D multichannel data using graphics processing units (GPUs). read more here.

Keywords: data using; compressed sensing; mri reconstruction; multichannel data ... See more keywords

Identification of rheumatoid arthritis in German claims data using different algorithms: Validation by cross‐sectional patient‐reported survey data

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1 Published in 2022 at "Pharmacoepidemiology and Drug Safety"

DOI: 10.1002/pds.5562

Abstract: To evaluate different algorithms for the identification of rheumatoid arthritis (RA) in claims data using patient‐reported diagnosis as reference. read more here.

Keywords: identification rheumatoid; patient reported; different algorithms; data using ... See more keywords

Platform for Managing Medical Data by Using a Passive Electronic Device.

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1 Published in 2020 at "Advances in experimental medicine and biology"

DOI: 10.1007/978-3-030-32622-7_13

Abstract: e-Health is referred to in literature as the usage of Information and Communication Technology (ICT) in the health domain, for administering treatment of patients, research, and health education and monitoring of public health in situ… read more here.

Keywords: platform managing; managing medical; data using; platform ... See more keywords

Gaps Filling in HF Radar Sea Surface Current Data Using Complex Empirical Orthogonal Functions

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1 Published in 2020 at "Pure and Applied Geophysics"

DOI: 10.1007/s00024-020-02613-x

Abstract: The knowledge of speed and direction of coastal ocean currents are critical for carrying out search and rescue at sea, to respond to the hazardous marine oil spills, to estimate the dispersal pattern of pollutants,… read more here.

Keywords: data using; sea; radar; using complex ... See more keywords

Efficient binary embedding of categorical data using BinSketch

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1 Published in 2022 at "Data Mining and Knowledge Discovery"

DOI: 10.1007/s10618-021-00815-y

Abstract: In this work, we present a dimensionality reduction algorithm, aka. sketching, for categorical datasets. Our proposed sketching algorithm Cabin constructs low-dimensional binary sketches from high-dimensional categorical vectors, and our distance estimation algorithm Cham computes a… read more here.

Keywords: embedding categorical; binary embedding; using binsketch; categorical data ... See more keywords

Analysis of high dimensional brain data using prototype based fuzzy clustering

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0 Published in 2020 at "Clinical Epidemiology and Global Health"

DOI: 10.1016/j.cegh.2020.03.029

Abstract: Abstract Background Brain Computer Interface (BCI) is explored as a new technology for communicating with computer over past few decades. It uses signals collected from brain to communicate, control or instruct computer or electronic devices.… read more here.

Keywords: high dimensional; data using; prototype; dimensional brain ... See more keywords

Reading and writing data by using self-immolative, sequence-defined oligourethanes

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0 Published in 2021 at "Chem"

DOI: 10.1016/j.chempr.2021.05.012

Abstract: Synthesis of sequence-defined oligourethanes (i.e., writing) followed by chemical self-immolation can yield mass fragments detectable by standard liquid chromatography-mass spectrometry (LC/MS) instruments (i.e., reading). Expanding beyond the traditional binary approach of chemically distinct monomers as… read more here.

Keywords: defined oligourethanes; reading writing; writing data; sequence defined ... See more keywords

Fitting of experimental data using a fractional Kalman-like observer.

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0 Published in 2019 at "ISA transactions"

DOI: 10.1016/j.isatra.2018.11.036

Abstract: In this paper, a fractional order Kalman filter (FOKF) is presented, this is based on a system expressed by fractional differential equations according to the Riemann-Liouville definition. In order to get the best fitting of… read more here.

Keywords: fokf; using fractional; data using; kalman ... See more keywords

De-noising low-frequency magnetotelluric data using mathematical morphology filtering and sparse representation

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0 Published in 2020 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2019.103919

Abstract: Abstract De-noising the magnetotelluric (MT) data using the conventional time-series editing methods is at the risk of losing low-frequency signals, especially the signal below 1 Hz. To overcome this deficiency, we propose a combinatorial method based… read more here.

Keywords: magnetotelluric data; data using; frequency; sparse representation ... See more keywords

Denoising Electron-energy Loss Data Using Non-local Means Filters

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0 Published in 2017 at "Microscopy and Microanalysis"

DOI: 10.1017/s1431927617001210

Abstract: Various multivariant analysis (MVA) methods have been used to denoise [1] or extract physically interpretable information [2-4]. The idea is to project the dataset on a subspace of lower dimension, which, in the ideal case,… read more here.

Keywords: using non; data using; energy loss; denoising electron ... See more keywords

Monetization of IoT data using smart contracts

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1 Published in 2019 at "IET Networks"

DOI: 10.1049/iet-net.2018.5026

Abstract: In the era of the Internet of Things (IoT), smart connected devices have the ability to generate data that could be of interest to the public. This paves the way for an emerging market for… read more here.

Keywords: smart contracts; iot data; data using; monetization iot ... See more keywords