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Prediction of bacterial virulent proteins with composition moment vector feature encoding method
(E D P Sciences, 2016)
Prediction of bacterial virulent proteins is critical for vaccine development and understanding of virulence mechanisms in pathogens. For this purpose, a number of feature encoding methods based on sequences and evolutionary ...
Investigating enablers to improve transparency in sustainable food supply chain using F-BWM
(Springer, 2021)
Food Supply Chains (FSC) are complex and dynamic in behavior and prone to increasing risks of unsustainability. Consumers increasingly demand food quality, safety, and sustainability, which are fast becoming issues of great ...
Improving customer experience for an internet service provider: a neural networks approach
(Springer, 2021)
Today one of the challenges of companies is to decrease call center costs while improving the customer experience. In this study, we make prediction and proactively take action in order to solve customer problems before ...
Using support vector machine for the prediction of unpaid credit card debts
(Springer Verlag, 2020)
Customer behavior prediction is gaining more importance in the banking sector like in any other sector recently. This study aims to propose a model to predict whether credit card users will pay their debts or not. Using ...
Design alternatives for internationally distributed learning factories in global production engineering
(Elsevier B.V., 2020)
An internationally distributed learning factory (IDLF) provides opportunities to make students aware of intercultural challenges in global production networks. An IDLF is a scalable network of learning factories with value ...
Sustainability impact of digitization in logistics
(Elsevier Science Bv, 2018)
Today, most enterprises are undergoing a digitization process with the fourth industrial revolution, named industry 4.0. The focus of the digital transformation lies mainly on production, therefore the terms such as "Factory ...