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Journal of Management Analytics Volume 5, 2018 - Issue 2: Transdisciplinary Analytics in Supply Chain Management
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Articles

A framework for inspection of dies attachment on PCB utilizing machine learning techniques

Thanasis VafeiadisInformation Technologies Institute (ITI), CERTH, Thessaloniki, GreeceCorrespondence[email protected]
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Nikolaos DimitriouInformation Technologies Institute (ITI), CERTH, Thessaloniki, GreeceView further author information
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Dimosthenis IoannidisInformation Technologies Institute (ITI), CERTH, Thessaloniki, GreeceORCID Iconhttp://orcid.org/0000-0002-5747-2186View further author information
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Tracy WotherspoonMICROSEMI Semiconductor Limited, Gwent, UKView further author information
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Gregory TinkerMICROSEMI Semiconductor Limited, Gwent, UKView further author information
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Dimitrios TzovarasInformation Technologies Institute (ITI), CERTH, Thessaloniki, GreeceORCID Iconhttp://orcid.org/0000-0001-6915-6722View further author information
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Pages 81-94 | Received 29 Sep 2017, Accepted 26 Jan 2018, Published online: 07 Feb 2018

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S. Ganesan & R. Uthayakumar. (2021) EPQ models with bivariate random imperfect proportions and learning-dependent production and demand rates. Journal of Management Analytics 8:1, pages 134-170.
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A. Kullaya Swamy & B. Sarojamma. (2020) Bank transaction data modeling by optimized hybrid machine learning merged with ARIMA. Journal of Management Analytics 7:4, pages 624-648.
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Engin Akman, Abdullah S. Karaman & Cemil Kuzey. (2020) Visa trial of international trade: evidence from support vector machines and neural networks. Journal of Management Analytics 7:2, pages 231-252.
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Wenan Tan, Yao Zhao, Xiaoming Hu, Lida Xu, Anqiong Tang & Tong Wang. (2019) A method towards Web service combination for cross-organisational business process using QoS and cluster. Enterprise Information Systems 13:5, pages 631-649.
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Hua Lu, Ling Li, Xueyu Zhao & David Cook. (2018) A model of integrated regional logistics hub in supply chain. Enterprise Information Systems 12:10, pages 1308-1335.
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