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Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17910
Abstract: The reconstruction of a computed tomography (CT) image can be compromised by artifacts, which, in many cases, reduce the diagnostic value of the image. These artifacts often result from missing or corrupt regions in the…
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Keywords:
reconstruction;
missing data;
reconstruction missing;
space reconstruction ... See more keywords
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Published in 2022 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.105180
Abstract: BACKGROUND AND OBJECTIVE Prediction and classification of Ventricular Arrhythmias (VA) may allow clinicians sufficient time to intervene for stopping its escalation to Sudden Cardiac Death (SCD). This paper proposes a novel method for predicting VA…
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Keywords:
classification ventricular;
prediction classification;
prediction;
classification ... See more keywords
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Published in 2025 at "Journal of Renewable and Sustainable Energy"
DOI: 10.1063/5.0281896
Abstract: Accurate prediction of photovoltaic (PV) output is crucial for improving energy utilization efficiency and ensuring safe and stable operation of power grids. However, the intermittent and non-stationary nature of its output, which is affected by chaotic…
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Keywords:
output sequence;
prediction;
output;
phase space ... See more keywords
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Published in 2018 at "Particulate Science and Technology"
DOI: 10.1080/02726351.2017.1333180
Abstract: ABSTRACT In the dense medium separation process of the coal preparation plant, the fluctuation of raw coal quality and the lag of heavy media separation density adjustment often lead to the instability of clean coal…
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Keywords:
medium;
density;
phase space;
space reconstruction ... See more keywords
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Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2816657
Abstract: State space reconstruction is the foundation of chaotic system modeling. Selection of reconstructed variables is essential to the analysis and prediction of multivariate chaotic time series. As most existing state space reconstruction theorems deal with…
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Keywords:
space reconstruction;
time;
time series;
state space ... See more keywords
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Published in 2019 at "Magnetic Resonance in Medical Sciences"
DOI: 10.2463/mrms.mp.2019-0015
Abstract: Purpose: To compare different q-space reconstruction methods for undersampled diffusion spectrum imaging data. Materials and Methods: We compared the quality of three methods: Mean Apparent Propagator (MAP); Compressed Sensing using Identity (CSI) and Compressed Sensing…
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Keywords:
reconstruction;
reconstruction methods;
diffusion;
methods undersampled ... See more keywords