• 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 ...

• 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 ...

• 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 ...

• Understanding the prevalence of gestational diabetes in urban and rural communities in Kansas 

  Ali, Umama (Wichita State University, 2021-04-02)

  INTRODUCTION: Gestational diabetes is one of the most common medical conditions women encounter during pregnancy and is the leading cause of maternal morbidity and mortality, perinatal and neonatal morbidity, and long-term ...

• Optimising unrelated parallel machine scheduling in job shops with maximum allowable tardiness limit 

  Kianpour, Parsa; Gupta, Deepak P.; Krishnan, Krishna K.; Gopalakrishnan, Bhaskaran (Inderscience, 2021-03-05)

  Motivated by the practical scheduling problem of job shops, this study evaluates unrelated parallel machine scheduling models. The researchers proposed a new mixed integer linear programming model considering effects of ...

• Sustainable reverse logistic network design for end-of-life use-case study 

  Cinar, Suna (EDP Sciences, 2021-03-02)

  Due to the increased interests in environmental issues along with stringent environmental legislation and regulations, companies start taking a fresh look at the impact on their reverse logistic activties on the environment. ...

• Comparison of self-citation patterns in WoS and Scopus databases based on national scientific production in Slovenia (1996–2020) 

  Budimir, Gordana; Rahimeh, Sophia; Tamimi, Sameh; Južnič, Primož (Springer Nature, 2021-02-06)

  Comparative studies of Web of Science and Scopus databases relate mainly to journal coverage and citation indicators. The aim of this study is to compare self-citation patterns in these databases. 25 years of scientific ...

• Simulation-based decision framework for hybrid layout production systems under disruptions 

  Vijayan, Vishakh; Harikrishnakumar, Ramkumar; Krishnan, Krishna K.; Cheraghi, Hossein H.; Motavalli, Saeid (Elsevier, 2021-06-18)

  In a hybrid layout production system under uncertainties, making strategic decisions becomes crucial and demanding, with an increase in the complexity of the system. The advent of Industry 4.0 leads to the development of ...

• Heat transfer simulation and improvement of autoclave loading in composites manufacturing 

  Mirzaei, Shokoufeh; Krishnan, Krishna K.; Kobtawy, Charbel Al; Roberts, Jeffrey; Palmer, Eric (Springer Nature, 2021-01-11)

  Composite manufacturing has proven to be a quintessential process for the improvement of a spectrum of industries from medical to automotive, and aerospace. Most composite manufacturing processes include a two-step process, ...

• Implementation and evaluation of curved layer fused deposition modeling 

  Guile, Matthew T. (Wichita State University, 2020-12)

  Fused Deposition Modeling (FDM) is an extrusion based additive manufactur- ing (AM) process in which thermoplastic material is extruded through a nozzle. The nozzle deposits material along a two-dimensional path to create ...

• Distortion of refill friction stir spot welding 

  Madras Karunamurthy, Sanjay Kumar (Wichita State University, 2020-12)

  Refill Friction Stir Spot Welding (RFSSW) produces a solid-state lap joint between sheet metals, preferably aluminum alloys, without leaving any exit holes in the materials. This process was derived from Friction Stir Spot ...

• A study of the effect of vibration on accuracy of 3D-printed parts via vat-photopolymerization 

  Nassar, Odai Mohammad Mahmoud (Wichita State University, 2020-12)

  Additive Manufacturing (AM) technology has emerged as a promising alternative for many industries, including aerospace, space, automobile, medical and biomedical. This is due to AM’s advantages over traditional manufacturing ...

• 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 ...

• Comparison of flow stress of aluminum alloy 6061-T6 obtained from chip pulling orthogonal cutting and Kolsky bar testing 

  Cui, Changlong; Bhavsar, Pavan; Lopez-Hawa, Homar; Madhavan, Viswanathan; Moscoso-Kingsley, Wilfredo (Elsevier B.V., 2020)

  Machining can be used as a test for the flow stress of materials under conditions of high strain (ε > 1) and strain rate (102/s to 106/s). Constitutive models of metallic materials are conventionally obtained by dynamic ...

• Detecting first layer bond quality during FDM 3D printing using a discrete wavelet energy approach 

  Bhavsar, Pavan; Sharma, Bhisham N.; Moscoso-Kingsley, Wilfredo; Madhavan, Viswanathan (Elsevier, 2020)

  Fused Deposition Modeling (FDM) is a highly versatile additive manufacturing method for 3D printing thermoplastic-based components at small as well as larger production scales. By combining the filament with fibers from ...

• A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach 

  Abdirad, Maryam; Krishnan, Krishna K.; Gupta, Deepak P. (Taylor and Francis Ltd, 2020-10-02)

  Industry 4.0 is a concept that assists companies in developing a modern supply chain (MSC) system when they are faced with a dynamic process. Because Industry 4.0 focuses on mobility and real-time integration, it is a good ...

• Geospatial cyberinfrastructure for regional economic growth 

  Asaduzzaman, Abu; Gupta, Deepak P. (IEEE, 2020-08-04)

  Cyberinfrastructure (CI) has potential to assist economic activities that involve real-time data analytics. Important challenges include the integration of essential geospatial principles (such as spatial constraints in ...

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