Titlebook: Industrial Engineering in the Industry 4.0 Era; Selected papers from Fethi Calisir,Hatice Camgoz Akdag Conference proceedings 2018 Springer

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Banu Numan Uyal,Elif Binboga Yel,Orhan Korhan locations of coral reefs. In recent years, there has been a significant proliferation of digital imagery that is utilized for monitoring marine species. Because of the exponential development in the amount of image data that is now accessible, automated detection and classification methods are beco

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Gokhan Aldemir,Hur Bersam Bolatnd further classifying the pathological regions for treatment planning in clinical analysis. Manual analysis of multi-spectral MRI images is erratic process due to wide-ranging of features and tissue types. Midst several segmentation techniques proposed in literature work, an automatic unified segme

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Merve Sahin,Fahrettin Eldemirded by the endoscope’s video sequence, a physician can diagnose the diseases and administer the treatment. Unfortunately, due to the huge amount of data generated, physicians are currently discarding procedural video and rely on a small number of carefully chosen images to record a procedure. In add

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A Note on Fuzzy Multiattribute Grey Related Analysis Using DEAach alternative. However, their model may not reflect the desired degree of discrimination between alternatives for unlikely weight combinations. In this paper, we propose an extended version of their model by using two sets of weights that are most favorable and least favorable for each alternative

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Nurse Scheduling with Shift Preferences in a Surgical Suite Using Goal Programmingn into account, as these factors affect the quality of service in healthcare. In this study, monthly nurse scheduling constraints for a surgical suite are determined according to government regulations, hospital management requirements, and nurse preferences. A multi-objective integer program with h

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Implementing EWMA Yield Index for Product Acceptance Determination in Autocorrelation Between Linearetween linear profiles is proposed. The advantage of the EWMA statistic is the accumulation of quality history from previous lots. In addition, the number of profiles required for lot sentencing is more economical than the traditional single sampling plan. As the value of the smoothing parameter is