Recent Submissions

  • Where Does Work End and Home Life Begin? 

    Berge, Zane L.; Bichy, Cassie; Grayson, Candice; Johnson, Anthony; Macadoff, Stephen; Nee, Kathryn (IGI Global Disseminator of Knowledge, 2009)
    Many years ago, it was a commonly held belief that technology would improve industries and service professions, which means that people could work shorter hours and their employers would make just as much money. Essentially, ...
  • Unfolding the Structure of a Document using Deep Learning 

    Rahman, Muhammad Mahbubur; Finin, Tim (2019-09-29)
    Understanding and extracting of information from large documents, such as business opportunities, academic articles, medical documents and technical reports, poses challenges not present in short documents. Such large ...
  • Anomaly Detection: Under the [data] hood in Smart Cars 

    Quader, Faisal; Janeja, Vandana P. (IEEE, 2019-08-01)
    This research focuses on discovering baseline models for driving behavior and vehicle functioning from data in smart cars. This facilitates detection of anomalous behaviors that deviate from such baselines. Human behavioral ...
  • An overview of online trust: Concepts, elements, and implications 

    Wang, Ye Diana; Emurian, Henry H. (Elsevier Ltd., 2004-02-18)
    Lack of trust has been repeatedly identified as one of the most formidable barriers to people for engaging in e-commerce, involving transactions in which financial and personal information is submitted to merchants via the ...
  • Learning from Observations Using a Single Video Demonstration and Human Feedback 

    Gandhi, Sunil; Oates, Tim; Mohsenin, Tinoosh; Waytowich, Nicholas (2019-09-29)
    In this paper, we present a method for learning from video demonstrations by using human feedback to construct a mapping between the standard representation of the agent and the visual representation of the demonstration. ...
  • A distributed active subspace method for scalable surrogate modeling of function valued outputs 

    Guy, Hayley; Alexanderian, Alen; Yu, Meilin (2019-08-08)
    Abstract We present a distributed active subspace method for training surrogate models of complex physical processes with high-dimensional inputs and function valued outputs. Specifically, we represent the model output ...
  • Mitigating Demographic Biases in Social Media-Based Recommender Systems 

    Islam, Rashidul; Keya, Kamrun Naher; Pan, Shimei; Foulds, James (Association for Computing Machinery, 2019-08-04)
    As a growing proportion of our daily human interactions are digitized and subjected to algorithmic decision-making on social media platforms, it has become increasingly important to ensure that these algorithms behave in ...
  • A Bayesian Data Analytics Approach to Buildings’ Thermal Parameter Estimation 

    Pathak, Nilavra; Foulds, James; Roy, Nirmalya; Banerjee, Nilanjan; Robucci, Ryan (Association for Computing Machinery, 2019-06-28)
    Modeling buildings’ heat dynamics is a complex process which depends on various factors including weather, building thermal capacity, insulation preservation, and residents’ behavior. Gray-box models offer an explanation ...
  • An implicit P-multigrid flux reconstruction method for simulation of locally preconditioned unsteady Navier–Stokes equations at low Mach numbers 

    Wang, Lai; Yu, Meilin (2019-08)
    We develop a P-multigrid solver to simulate locally preconditioned unsteady compressible Navier–Stokes equations at low Mach numbers with implicit high-order methods. Specifically, the high-order flux reconstruction/correction ...
  • Social Media-based User Embedding: A Literature Review 

    Pan, Shimei; Ding, Tao (2019-06)
    Automated representation learning is behind many recent success stories in machine learning. It is often used to transfer knowledge learned from a large dataset (e.g., raw text) to tasks for which only a small number ...
  • Trends in PM2.5 transition metals in urban areas across the United States 

    Hennigan, Christopher J.; Mucci, Aidan; Reed, Brian E. (IOP Publishing, 2019-10-04)
    Using data from the Environmental Protection Agency's Chemical Speciation Network, we have characterized trends in PM2.5 transition metals in urban areas across the United States for the period 2001–2016. The metals included ...
  • Biomimetic Strategies To Treat Traumatic Brain Injury by Leveraging Fibrinogen 

    Brown, Ashley C.; Lavik, Erin; Stabenfeldt, Sarah E. (ACS Publications, 2019-06-27)
    There were over 27 million new cases of traumatic brain injuries (TBIs) in 2016 across the globe. TBIs are often part of complicated trauma scenarios and may not be diagnosed initially because the primary clinical focus ...
  • In silico dermoscopy with detailed subsurface scattering 

    Seipp, B.; Olano, M.; Badano, A. (The Eurographics Association, 2019)
    We describe an approach to modeling dermoscopy, the imaging modality for the examination of skin lesions, using accurate subsurface scattering in human skin. We make use of an open-source, path-tracing program with advanced ...
  • Learning analytics as a tool for closing the assessment loop in higher education 

    Mattingly, Karen D.; Rice, Margaret C.; Berge, Zane L. (2012)
    This paper examines learning and academic analytics and its relevance to distance education in undergraduate and graduate programs as it impacts students and teaching faculty, and also academic institutions. The focus is ...
  • Multivariate CuBTC Metal–Organic Framework with Enhanced Selectivity, Stability, Compatibility, and Processability 

    Peterson, Gregory W.; Au, Kathleen; Tovar, Trenton M.; Epps, Thomas H. III (American Chemical Society, 2019-09-27)
    A novel, mixed-linker metal−organic framework (MOF) was synthesized, and the resulting macromolecular assembly had enhanced activity and stability in comparison to the isostructural CuBTC (aka HKUST-1). Mixtures of ...
  • A Graph-based Automatic Services Composition based on Cost Estimation Heuristic 

    Lee, Yunsu; Kulvatunyou, Boonserm; Lee, Minchul; Peng, Yun; Ivezic, Nenad (National Institute of Standards and Technology, 2019-10-31)
    Currently, software and hardware are being virtualized and offered as services on the internet. Companies have an opportunity to improve their workflow by composing these services that best suitable their requirements from ...
  • Programmable biomolecular switches for rewiring flux in Escherichia coli 

    Gao, Cong; Hou, Jianshen; Xu, Peng; Guo, Liang; Chen, Xiulai; Hu, Guipeng; Ye, Chao; Edwards, Harley; Chen, Jian; Chen, Wei; Liu, Liming (Nature, 2019-08-21)
    Synthetic biology aims to develop programmable tools to perform complex functions such as redistributing metabolic flux in industrial microorganisms. However, development of protein-level circuits is limited by availability ...
  • Chatbot Application on Cryptocurrency 

    Xie, Qitao; Zhang, Qingquan; Tan, Dayuan; Zhu, Ting; Xiao, Shen; Li, Beibei; Sun, Lei; Yi, Ping; Wang, Junyu (IEEE, 2019-07-11)
    Many chatbots have been developed that provide a multitude of services through a wide range of methods. A chatbot is a brand-new conversational agent in the highspeed changing technology world. With the advance of Artificial ...
  • Developing Machine Learning Based Predictive Models for Smart Policing 

    Elluri, Lavanya; Mandalapu, Varun; Roy, Nirmalya (IEEE, 2019-08-01)
    Crimes are problematic where normal social issues are confronted and influence personal satisfaction, financial development, and quality-of-life of a region. There has been a surge in the crime rate over the past couple ...
  • Modeling phase noise in high-power photodetectors 

    Mahabadi, Seyed Ehsan Jamali; Carruthers, Thomas F.; Menyuk, Curtis R. (IEEE, 2019-08-22)
    We describe the simulation model that we use to calculate the impulse response and phase noise in a modified unitraveling carrier (MUTC) photodetector using the drift-diffusion equations while avoiding computationally ...

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