Now showing items 1-5 of 5

    • Airline delay prediction using machine learning algorithms 

      Dand, Alok (Wichita State University, 2020-12)
      This dissertation develops machine-learning models to predict the airline on-time performance using different types of variables. The second chapter details a methodology developed to improve performance of the model and ...
    • Prediction of airline delays based on machine learning algorithms 

      Dand, Alok; Saeed, Khawaja A.; Yildirim, Mehmet Bayram (Association for Information Systems, 2019)
      Every year around 20% of all flights are delayed or canceled. The costs of these events to the airline companies and passengers are in billions of dollars each year. According to a report published in 2010 by UC Berkeley, ...
    • A Quantum Bayesian approach for bike sharing demand prediction 

      Harikrishnakumar, Ramkumar; Borujeni, Sima E.; Dand, Alok; Nannapaneni, Saideep (IEEE, 2021-03-19)
      The bike-sharing system (BSS) aims to provide an alternative mode of public transportation that are being adopted in urban cities. The use of the bike for short-distance travel aids in mitigating traffic congestion problems, ...
    • Relationship between the six aims of quality in trauma care 

      Aragon, Lucy G.; Dand, Alok (Wichita State University, 2016-04-29)
      The Institute of Medicine (IOM) reported in 2001 that the health care system in the US fails to consistently deliver high-quality medical care. The IOM proposed six aims to be used by healthcare organizations in tracking ...
    • Supervised machine learning approach for effective supplier classification 

      Harikrishnakumar, Ramkumar; Dand, Alok; Nannapaneni, Saideep; Krishnan, Krishna K. (IEEE, 2019-12)
      Supplier assessment plays a critical role in the supply chain management, which involves the flow of goods and services from the initial stage (raw material procurement) to the final stage (delivery). Supplier assessment ...