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In this paper, we introduce the notion of an "opportunity good" as a discount production input that may prove of satisfactory quality upon inspection and otherwise can be returned to the supplier. While in a quality-sensitive setting it is never optimal to ...
The contemporary manufacturing landscape is characterized by increased volatility shortened product life cycles and increased degree of product customization. Manufacturing companies are continuously facing the challenge of operating their manufacturing pr ...
Multiview applications endow final users with the possibility to freely navigate within 3D scenes with minimum-delay. A real feeling of scene navigation is enabled by transmitting multiple high-quality camera views, which can be used to synthesize addition ...
Background With the recent approval of the first small interfering RNA (siRNA) therapeutic formulated as nanoparticles, there is increased incentive for establishing the factors of importance for the design of stable solid dosage forms of such complex nano ...
The coffee sector is one of the pillars of the colombian economy. It generates nearly 800 thousand directs jobs at the rural sector and about 1,6 million indirect jobs. Although its social value, the coffee is going over a crisis where it opens a considera ...
Paul Scherrer Institute, World Resources Forum2019
This work presents the fabrication of a MEMS resonant device which addresses the need for high quality and miniaturized RF filters in the 3-6 GHz range for 5th generation (5G) mobile networks. The 4-mask fabrication process is based on the definition of in ...
State-owned enterprises (SOEs) provide important services such as power supply, postal services and public transportation. In doing this, SOEs operate at the intersection of political/regulatory and economic expectations. Therefore, SOEs are commonly consi ...
In this tutorial, we provide principled methods to quantitatively evaluate the quality of an estimated trajectory from visual(-inertial) odometry (VO/VIO), which is the foundation of benchmarking the accuracy of different algorithms. First, we show how to ...
We propose FedGP, a framework for privacy-preserving data release in the federated learning setting. We use generative adversarial networks, generator components of which are trained by FedAvg algorithm, to draw private artificial data samples and empirica ...
This paper describes, develops, and validates SciLens, a method to evaluate the quality of scientific news articles. The starting point for our work are structured methodologies that define a series of quality aspects for manually evaluating news. Based on ...
