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Showing all Resources, Excluding Opac and Electronic and Premium resources

A rule-based machine learning methodology for the proactive improvement of OEE: a real case study

Author:Laura Lucantoni, Sara Antomarioni, Filippo Emanuele Ciarapica and Maurizio Bevilacqua
Publisher:International Journal of Quality & Reliability Management,
Abstract: Purpose The Overall Equipment Effectiveness (OEE) is considered a standard for measuring equipmen…

A hybrid machine learning approach for analysis of stegomalware

Author:Prudence Kadebu, Robert T.R. Shoniwa, Kudakwashe Zvarevashe, Addlight Mukwazvure, Innocent Mapanga, Nyasha Fadzai Thusabantu and Tatenda Trust Gotora
Publisher:International Journal of Industrial Engineering and Operations Management,
Abstract: Purpose Given how smart today’s malware authors have become through employing highly sophisticate…

Testing service infusion in manufacturing through machine learning techniques: looking back and forward

Author:Oscar F. Bustinza, Ferran Vendrell-Herrero, Philip Davies and Glenn Parry
Publisher:International Journal of Operations & Production Management,
Abstract: Purpose Responding to calls for deeper analysis of the conceptual foundations of service infusion…

A physics-driven and machine learning-based digital twinning approach to transient thermal systems

Author:Armando Di Meglio, Nicola Massarotti and Perumal Nithiarasu
Publisher:International Journal of Numerical Methods for Heat & Fluid Flow,
Abstract: Purpose In this study, the authors propose a novel digital twinning approach specifically designe…

Machine Learning for short-term property rental pricing based on seasonality and proximity to food establishments

Author:Diego de Jaureguizar Cervera, Javier de Esteban Curiel and Diana C. Pérez-Bustamante Yábar
Publisher:British Food Journal,
Abstract: Purpose Short-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastro…

Validating predictions of burial mounds with field data: the promise and reality of machine learning

Author:Adela Sobotkova, Ross Deans Kristensen-McLachlan, Orla Mallon and Shawn Adrian Ross
Publisher:Journal of Documentation,
Abstract: Purpose This paper provides practical advice for archaeologists and heritage specialists wishing …

Enhancing quality 4.0 and reducing costs in lot-release process with machine learning-based complaint prediction

Author:Armindo Lobo, Paulo Sampaio and Paulo Novais
Publisher:The TQM Journal,
Abstract: Purpose This study proposes a machine learning framework to predict customer complaints from prod…

An alloy-agnostic machine learning framework for process mapping in laser powder bed fusion

Author:Toby Wilkinson, Massimiliano Casata and Daniel Barba
Publisher:Rapid Prototyping Journal,
Abstract: Purpose This study aims to introduce an image-based method to determine the processing window for…

Intellectual capital forecasting for invention patent through machine learning model

Author:Mei-Hsin Wang and Hui-Chung Che
Publisher:Journal of Intellectual Capital,
Abstract: Purpose This research explores support vector machine (SVM) with Gaussian radial basis function k…

Data quality issues leading to sub optimal machine learning for money laundering models

Author:Abhishek Gupta, Dwijendra Nath Dwivedi, Jigar Shah and Ashish Jain
Publisher:Journal of Money Laundering Control,
Abstract: Purpose Good quality input data is critical to developing a robust machine learning model for ide…
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