Výsledky vyhledávání - "Deniz Demircioglu Diren"

Optimization of Cutting Parameters and Result Predictions with Response Surface Methodology, Individual and Ensemble Machine Learning Algorithms in End Milling of AISI 321

Autor: Deniz Demircioglu Diren, Neslihan Ozsoy, Murat Ozsoy, Huseyin Pehlivan

Publikováno v: Arabian Journal for Science and Engineering.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b6539026f7cad4cff8c95e1e47f953bd
https://doi.org/10.1007/s13369-023-07642-x

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Artificial Intelligence Based Adaptive Learning Model for Distance Learning Readiness

Autor: Deniz Demircioglu Diren, Mehmet Barıs Horzum

Publikováno v: Advances in Analytics for Learning and Teaching ISBN: 9783031141034

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f5efd422601b1241ee57abe874d8419
https://doi.org/10.1007/978-3-031-14489-9_8

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Integration of Machine Learning Techniques and Control Charts for Multivariate Processes

Autor: Semra Boran, Deniz Demircioglu Diren, Ibrahim Cil

Publikováno v: Scientia Iranica.

Using multivariate control chart instead of establishing univariate control chart for all variables in processes provides time and labor advantage. In addition, it is considered in the relations between variables. However, the statistical calculation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c9d46d1163ffe1864a07649f063eb1a
https://doi.org/10.24200/sci.2019.50377.1667

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Root Cause Detection with an Ensemble Machine Learning Approach in the Multivariate Manufacturing Process

Autor: Tuğçen Hatipoğlu, Deniz Demircioglu Diren, İhsan Hakan Selvi, Semra Boran

Publikováno v: Lecture Notes in Management and Industrial Engineering ISBN: 9783030033163

Quality control in multivariate manufacturing processes should be applied with multi variate control charts. Although this method is sufficient, it doesn’t include the causes of uncontrolled situations. It only shows samples that are out of control

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::366b7c6fc0d9a2146e10f25f509ade8f
https://doi.org/10.1007/978-3-030-03317-0_14

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Analyzing Pipe Production Fault Rates by Association Rules and Classification According to Working Conditions and Employee Characteristics

Autor: Deniz Demircioglu Diren, Tuğçen Hatipoğlu, Hussein Al-Sanabani

Publikováno v: Lecture Notes in Management and Industrial Engineering ISBN: 9783030033163

In order to survive in a competitive environment, companies are required to increase the productivity by identifying the factors that affect the failure rates. In this study, fault rates of a pipe manufacturing company are investigated. Therefore, ba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6966bcd5172bb1508fd14912528b802c
https://doi.org/10.1007/978-3-030-03317-0_12

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A Model to Increase Customer Loyalty by Using Bi-directional Semantic Interference: An Application to White Goods Industry

Autor: Alpaslan Fığlalı, Alper Göksu, Deniz Demircioglu Diren, Hatice Esen, Tuğçen Hatipoğlu

Publikováno v: Advances in Sustainable and Competitive Manufacturing Systems ISBN: 9783319005560

Adding values on products, services, or systems by responding to customers’ needs quickly is a relevant issue for companies and requires them to be located competitively in their environment. In line with this issue, the demand chain approach enabl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee491dd28c524bc2bfebeaf95bfe3970
https://doi.org/10.1007/978-3-319-00557-7_79

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