The relationship between the US broad money supply and US GDP for the time period 2001 to 2019 with that of the corresponding time series for US national property and stock market indices, using an information entropy methodology [PDF]
arXiv, 2021 The primary objective of this paper was to investigate whether the growth in the major US asset indices could be a function of the US broad money supply and/or US GDP, over the time period 2001 to 2019, using an information entropy methodology. The four US asset indices investigated were: (1) US National Property index; (2) Russell 2000 index; (3) S&P ...
arxiv
Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks [PDF]
, 2018 Purpose: To perform and evaluate water-fat signal separation of whole-body gradient echo scans using convolutional neural networks. Methods: Whole-body gradient echo scans of 240 subjects, each consisting of 5 bipolar echoes, were used. Reference fat fraction maps were created using a conventional method.
arxiv +1 more source
Using generalized logistics regression to forecast population infected by Covid-19 [PDF]
arXiv, 2020 In this work, a proposal to forecast the populations using generalized logistics regression curve fitting is presented. This type of curve is used to study population growth, in this case population of people infected with the Covid-19 virus; and it can also be used to approximate the survival curve used in actuarial and similar studies.
arxiv
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net [PDF]
arXiv, 2020 We propose a novel deep learning based approach to breast mass segmentation in ultrasound (US) imaging. In comparison to commonly applied segmentation methods, which use US images, our approach is based on quantitative entropy parametric maps. To segment the breast masses we utilized an attention gated U-Net convolutional neural network.
arxiv
Exponentiation Using Laplace Expansion [PDF]
arXiv, 2021 This article derives an equation for exponentiation that can be used for calculating exponents using a parallel computing architecture.
arxiv
Many-levelled continuation ratio models for frequency of alcohol and drug use data [PDF]
arXiv, 2022 Studies of alcohol and drug use are often interested in the number of days that people use the substance of interest over an interval, such as 28 days before a survey date. Although count models are often used for this purpose, they are not strictly appropriate for this type of data because the response variable is bounded above.
arxiv
Quantum channel using photon number correlated twin beams [PDF]
Optics, Express 11, 3592 (2003), 2004 We report quantum communications channel using photon number correlated twin beams. The twin beams are generated from a nondegenerate optical parametric oscillator, and the photon number difference is used to encode the signal. The bit error rate of our system will be 0.067 by using the twin beams comparing with 0.217 by using the coherent state as the
arxiv +1 more source
Large-System Analysis of Joint User Selection and Vector Precoding for Multiuser MIMO Downlink [PDF]
arXiv, 2012 Joint user selection (US) and vector precoding (US-VP) is proposed for multiuser multiple-input multiple-output (MU-MIMO) downlink. The main difference between joint US-VP and conventional US is that US depends on data symbols for joint US-VP, whereas conventional US is independent of data symbols.
arxiv
The application of mixed-use measures at the pedestrian-scale [PDF]
arXiv, 2021 Mixed-use urbanism affords access to diverse assortments of land-uses within a pedestrian-accessible context. It confers advantages such as reductions to driving, air pollution, and Body Mass Index with associated increases in active transportation and improvements to health.
arxiv
Style Transfer Enabled Sim2Real Framework for Efficient Learning of Robotic Ultrasound Image Analysis Using Simulated Data [PDF]
arXiv, 2023 Robotic ultrasound (US) systems have shown great potential to make US examinations easier and more accurate. Recently, various machine learning techniques have been proposed to realize automatic US image interpretation for robotic US acquisition tasks.
arxiv