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Multiple operational mode prediction at milling tool-tip based on transfer learning
Understanding the tool-tip dynamics is crucial for evaluating the performance in milling and essential for chatter prediction; obtaining and...
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Resilient Heritage Using Aerial and Ground-Based Multi-sensor Imagery
Recent geospatial information technology developments have prompted researchers to utilize multi-sensor data for decision-making in disaster...
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Resilient Heritage Using Aerial and Ground-Based Multi-sensor Imagery
Recent geospatial information technology developments have prompted researchers to utilize multi-sensor data for decision-making in disaster...
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RPA aus Sicht eines Full-Service IT-Dienstleisters
Dieser Beitrag stellt die Erfahrungen mit Robotic Process Automation (RPA) aus Sicht eines Full-Service IT-Dienstleister für den Versorgungs- und...
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Integration of the Multiple Criteria Decision Making Method KEMIRA into a GIS for the Problem of Choosing Suitable Areas for a Given Use
Land use management problems generally requires the use of geographic information systems (GIS). To do this, it is first necessary to take into...
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Target Group Generation Z—How Stationary Retailers Can Fulfil the Expectations of Young Customers Through Smart Services and Technologies to Increase Their Resilience
This paper aims to apply the basics of the Service-Dominant Logic, especially the concept of creating benefits through serving, to the stationary...
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Risk Management
Taking risks is part of the essence of entrepreneurial activity. At the same time, it is the task of risk management to ensure that the company does...
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Bridging socioeconomic pathways of \(\textrm{CO}_2\) emission and credit risk
This paper investigates the impact of transition risk on a firm’s low-carbon production. As the world is facing global climate change, the...
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Fused magnesia manufacturing process: a survey
This paper provides an overview of the manufacturing process of fused magnesia. A brief introduction to fused magnesia and its industrial production...
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On solving parametric multiobjective quadratic programs with parameters in general locations
While theoretical studies on parametric multiobjective programs (mpMOPs) have been steadily progressing, the algorithmic development has been...
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A multiple criteria socio-technical approach for the Portuguese Army Special Forces recruitment
Cat-SD (Cat egorization by Similarity-Dissimilarity) is a method developed for handling nominal classification problems in the context of Multiple...
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Mixed-frequency quantile regressions to forecast value-at-risk and expected shortfall
Although quantile regression to calculate risk measures is widely established in the financial literature, when considering data observed at...
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An ex-ante DEA method for representing contextual uncertainties and stakeholder risk preferences
Data envelopment analysis (DEA) is an analytical method for measuring, benchmarking, and improving efficiency performance. While DEA has...
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Effect of labour income on the optimal bankruptcy problem
In this paper we deal with the optimal bankruptcy problem for agents who can optimally allocate their consumption rate, the amount of capital...
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Introduction to Multiobjective Optimization
Frequently, optimization problems appear in any technique or scientific activity, and the optimal decisions have traditionally attended to a unique...
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Automated detection of inorganic powders in X-ray images of airport luggage
At the checkpoint, the detection of illicit inorganic powders in passenger luggage using conventional X-ray can be challenging. An algorithm is...
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Max–max, max–min, min–max and min–min knapsack problems with a parametric constraint
Max–max, max–min, min–max and min–min optimization problems with a knapsack-type constraint containing a single numerical parameter are studied. The...
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Essentials of numerical nonsmooth optimization
Approximately sixty years ago two seminal findings, the cutting plane and the subgradient methods, radically changed the landscape of mathematical...
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US Natural Gas Consumption Analysis via a Smart Time Series Approach Based on Multilayer Perceptron ANN Tuned by Meta-heuristic Algorithms
Today, balancing energy supply and demand due to limited resources has become one of the most important concerns of governments. Therefore,...