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  • Emergency incident detection from crowdsourced Waze data using Bayesian information fusion 

    Senarath, Yasas; Nannapaneni, Saideep; Purohit, Hemant; Dubey, Abhishek (IEEE, 2021-06-24)
    The number of emergencies have increased over the years with the growth in urbanization. This pattern has overwhelmed the emergency services with limited resources and demands the optimization of response processes. It is ...
  • Efficacy of upper limb rehabilitation protocols 

    Miranda, Virgil (Wichita State University, 2021-07)
    Neuromuscular and sensorimotor degeneration can negatively impact and reduce the physical, cognitive, and social well-being of an individual across their lifespan. Therapeutics interventions are vital to restore the lost ...
  • A comprehensive cost estimation for additive manufacturing 

    Lamei, Zohreh (Wichita State University, 2021-07)
    Additive Manufacturing (AM) is an emerging manufacturing method by which Computer-Aided Design (CAD) models are directly made into products and structures. Layers of material, such as polymers, metals, ceramics, composites, ...
  • Statistical process control implementations within the aviation industry 

    Merriman, Roger A. (Wichita State University, 2021-07)
    In 1931, Walter Shewhart introduced his work in statistical process control (SPC) through his book, Economic Control of Quality of Manufactured Product. A common confusion in the use of SPC is that it does not fit every ...
  • Perceptions of quality in e-learning for higher education 

    Al Awadh, Mohammed (Wichita State University, 2021-07)
    E-learning quality is a complex and multi-faceted issue. Some argue that the quality of e-learning should be judged by the same criteria and standards as face-to-face education. Others hold that conventional quality concepts ...
  • Incorporating the six aims for quality in the analysis of trauma care 

    Aragon, Lucy G.; Schieman, Karen B.; Cure, Laila (Taylor and Francis, 2021-07-20)
    The Institute of Medicine proposed six aims for healthcare quality improvement. Nevertheless, trauma care quality research still focuses on one aim at a time. This research investigates how to incorporate all aims into ...
  • Automated job shop scheduling with dynamic processing times and due dates using project management and industry 4.0 

    Kianpour, Parsa; Gupta, Deepak P.; Krishnan, Krishna K.; Gopalakrishnan, Bhaskaran (Taylor and Francis Ltd., 2021-06-14)
    This paper presents an automated model for improving job shop scheduling by incorporating Industry 4.0 and project management. The proposed model develops dynamic and adaptive schedules to incorporate real-time information ...
  • Automated job shop scheduling with dynamic processing times and due dates using project management and industry 4.0 

    Kianpour, Parsa; Gupta, Deepak P.; Krishnan, Krishna K.; Gopalakrishnan, Bhaskaran (Taylor and Francis Ltd., 2021-06-14)
    This paper presents an automated model for improving job shop scheduling by incorporating Industry 4.0 and project management. The proposed model develops dynamic and adaptive schedules to incorporate real-time information ...
  • Auto-normalization of robot end-effector 

    Veeraraghavan, Vinoth Kumar (Wichita State University, 2021-05)
    An automatic system for a generic approach to detecting the normal vector of an unknown three-dimensional surface using a sensor mounted on the wrist of a collaborative robot is described. As this method proceeds, the ...
  • Robot path planning with sensor feedback for industrial applications 

    Kulkarni, Rekha G. (Wichita State University, 2021-05)
    The research goal of this study is to investigate the use of sensor feedback for robot path planning and optimization. Robots are ideal automation tools for handling highly repetitive manufacturing tasks with unparalleled ...
  • Optimizing spatiotemporally fractionated radiotherapy plans under radio-biological uncertainty 

    Adibi, Ali; Salari, Ehsan (Institute of Industrial and Systems Engineers, IISE, 2020)
    Radiotherapy treatments are typically delivered in daily sessions spanning one to several weeks. This is motivated by the clinical observation that irradiated cells tolerate a larger total radiation dose if it is fractionated ...
  • Characterizing the workday of ambulance crew members 

    Huynh, Ngoc H.; Bui, Huong; Cure Vellojin, Laila N. (Institute of Industrial and Systems Engineers (IISE), 2020)
    The work of ambulance crew members is highly variable and unpredictable. Decisions made based on an oversimplified understanding of the workday may result in crewmembers struggling to meet unrealistic demands and subsequently ...
  • Asset management strategies for wind turbines: Keeping or retrofitting existing wind turbines? 

    Cinar, Suna; Rubaiee, Saeed; Yildirim, Mehmet Bayram (Inderscience, 2021-04-05)
    In this study, a parallel replacement problem with retrofitting (PRP-R) model is proposed to determine the trade-off between retrofitting and replacing an asset. The primary objective is to identify the replacement, ...
  • 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, ...
  • Quantum circuit representation of Bayesian networks 

    Borujeni, Sima E.; Nannapaneni, Saideep; Nguyen, Nam H.; Behrman, Elizabeth C.; Steck, James E. (Elsevier, 2021-08-15)
    Probabilistic graphical models such as Bayesian networks are widely used to model stochastic systems to perform various types of analysis such as probabilistic prediction, risk analysis, and system health monitoring, which ...
  • Asset management in electric power systems: Bibliometric analysis 

    Mohib, Ashfaque A. (Wichita State University, 2021-04-02)
    Utility companies are forced into adopting strategies to satisfy customer demand and reliability, maintain and grow asset infrastructures, increase return on investments and improve operational efficiencies to compete in ...
  • Obesity classification from facial images using deep learning 

    Siddiqui, Hera (Wichita State University, 2021-04-02)
    INTRODUCTION: Obesity is a serious health problem that is on the rise both in the United States and globally. Obesity is frequently defined using the clinical Body Mass Index (BMI) ratio of height and weight. Overweight ...
  • A systematic literature review on supply chain operational disruption management for resilience 

    Haque, Subarna (Wichita State University, 2021-04-02)
    In the recent years, supply chain has become longer, larger, more complex, and more vulnerable to disruption. As a result, practitioners and researchers are paying more attention to supply chain risk management. COVID-19 ...
  • Process mapping of additively-manufactured metallic wicks using Bayesian approach 

    Borumand, Mohammad; Borujeni, Sima E.; Ausherman, Moriah; Madiraddy, Guru (Wichita State University, 2021-04-02)
    INTRODUCTION: Wick structures are porous media that provide spontaneous capillary action to maintain fluid circulation in advanced two-phase thermal management systems. However, the conventional manufacturing approaches ...
  • Quantum Bayesian Networks application for automated vehicles safety 

    Borujeni, Sima E. (Wichita State University, 2021-04-02)
    Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference. A Quantum Bayesian Network (QBN) is the quantum equivalent of ...

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