• An Open Data Approach to Mapping Urban Drainage Infrastructure in Developing Communities 

      See, Lay Shien; Calo, Luke; Bannon, Benjamin; Opdyke, Aaron
      Published 2020-01-01
      Urban flooding in developing countries represents a growing threat to sustainable development efforts, yet the tools needed to study these infrastructure systems in data-scarce environments are woefully inadequate. This ...
      Open Access
      Article
    • Multi-Activity Access: How Activity Choice Affects Opportunity 

      Cui, Mengying; Levinson, David M
      Published 2020-01-01
      It is commonly seen that accessibility is measured considering only one opportunity or activity type or purpose of interest, e.g., jobs. The value of a location, and thus the overall access, however, depends on the ability ...
      Open Access
      Article
    • A Machine Learning Model to Identify Early Stage Symptoms of SARS-Cov-2 Infected Patients 

      Ahamad, Martuza; Aktar, Sakifa; Rashed-Al-Mahfuz; Uddin, Shahadat; Lió, Pietro; Xu, Haoming; Summers, Matthew A.; Quinn, Julian M.W.; Moni, Mohammad Ali
      Published 2020-01-01
      The recent outbreak of the respiratory ailment COVID-19 caused by novel coronavirus SARS-Cov2 is a severe and urgent global concern. In the absence of effective treatments, the main containment strategy is to reduce the ...
      Article
    • Towards a General Theory of Access 

      Levinson, David M; Wu, Hao
      Published 2020-01-01
      This paper integrates and extends many of the concepts of accessibility deriving from Hansen’s (1959) seminal paper, and develops a theory of access that generalizes from the particular measures of access that have become ...
      Open Access
      Article
    • Dual-Path Adversarial Learning for Fully Convolutional Network (FCN)-Based Medical Image Segmentation 

      Bi, Lei; Feng, David Dagan; Kim, Jinman
      Published 2018-01-01
      Segmentation of regions of interest (ROIs) in medical images is an important step for image analysis in computer-aided diagnosis systems. In recent years, segmentation methods based on fully convolutional networks (FCNs) ...
      Open Access
      Article