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Convolutional Neural Network Applied to Facial Recognition
The Security of individuals, companies and society remains a major issue in controlling access to protected environments. Machine Learning... -
Jump Diffusion Model
Jump diffusion processes have been used in modern finance to capture discontinuous behavior in asset pricing. Various jump diffusion models are... -
Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case
Visual Quality Inspection is an integral part of the manufacturing process that is becoming increasingly automated with the advent of Industry 4.0....
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Multi-Period Hub Location with Time Series
This chapter discusses the application of distributionally robust optimization to an uncapacitated multi-period hub location. Uncertain periodic... -
Infectious diseases and social distancing under state-dependent probabilities
We analyze the implications of infectious diseases and social distancing in an extended SIS framework to allow for the presence of stochastic shocks...
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Venture Capital as a Subset of Private Equity
The purpose of this chapter is to explain the differences between private equity (PE) and venture capital (VC). We will begin by demonstrating the... -
Modeling and Learning of Hierarchical Decision Models: The Case of the Choquet Integral
In this paper, we elaborate on two important developments in the realm of multi-criteria decision aid, which have attracted increasing attention in... -
Success Control in Sports Sponsorsing
Success monitoring plays a crucial role in the planning process of sponsoring. The outlined processes of strategic alignment, budgeting, the... -
A provably secure free-pairing certificateless searchable encryption scheme
The protection of user data and privacy is becoming more critical because they mainly come from different sources, such as the Internet of Things....
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Data-Driven Techniques for Optimizing the Renewable Energy Systems Operations
Emission-free and sustainable characteristics of renewable energy resources have led to significant deployment of these sources in power systems to... -
An economic production quantity model for an imperfect production system with selling price, advertisement frequency and green-level dependent demand
The consumer’s demand for certain products must be grown through frequent promotion. Also, maintaining the green level of the products can catch...
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Arbitrage and non-linear taxes
Incorporating a progressive income tax into an economic decision problem raises the question whether this tax does not create arbitrage...
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Introduction to Mathematical Programming
This chapter presents general information on mathematical programming and introduces the basics of linear algebra and propositional... -
Selection of Engagements in Sports Sponsoring
The selection of Sponsoringssports sponsoringSelection of sports sponsorings in sports sponsoring is both a strategic and a tactical decision.... -
An on-machine tool path generation method based on hybrid and local point cloud registration for laser deburring of ceramic cores
For the automatic laser deburring of ceramic cores, this study proposed a method for generating deburring tool paths by combining the computer-aided...
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Interval Tools in Branch-and-Bound Methods for Global Optimization
Interval analysisInterval analysis has been applied with success at solving continuous nonlinear programming problems. In this chapter we review the... -
Two-party Bargaining Processes Based on Subjective Expectations: A Model and a Simulation Study
This work presents a model for a two-party bargaining process in which multiple offers are exchanged as the negotiation goes on, under a risk of...
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Maximum Entropy Techniques
Finally, in this chapter the inference and decision strategies applied in stochastic optimization methods are considered in more detail: A large... -
Human–machine knowledge hybrid augmentation method for surface defect detection based few-data learning
Visual-based defect detection is a crucial but challenging task in industrial quality control. Most mainstream methods rely on large amounts of...