Results 11 to 20 of about 991,414 (299)
Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches
Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods.
Frank Phillipson +2 more
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Background Analysing distributed medical data is challenging because of data sensitivity and various regulations to access and combine data. Some privacy-preserving methods are known for analyzing horizontally-partitioned data, where different ...
Bart Kamphorst +4 more
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A robust robust optimization result [PDF]
We study the loss in objective value when an inaccurate objective is optimized instead of the true one, and show that "on average" this loss is very small, for an arbitrary compact feasible region.
Gancarova, Martina, Todd, Michael J.
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Fish mislabelling in France: substitution rates and retail types [PDF]
Market policies have profound implications for consumers as well as for the management of resources. One of the major concerns in fish trading is species mislabelling: the commercial name used does not correspond to the product, most often because the ...
Julien Bénard-Capelle +5 more
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Adaptive Second-Order Sliding Mode Control of Buck Converters with Multi-Disturbances
In this paper, a novel adaptive second-order sliding mode (2-SM) control approach, based on online zero-crossing detection, was proposed to solve the problems of the chattering and fixed control gain for buck converters with multi-disturbances.
Yanmin Wang +5 more
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In decision analysis and especially in multiple criteria decision analysis, several non additive integrals have been introduced in the last years. Among them, we remember the Choquet integral, the Shilkret integral and the Sugeno integral. In the context of multiple criteria decision analysis, these integrals are used to aggregate the evaluations of ...
GRECO, Salvatore, Rindone F.
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Robustness of Cloud Manufacturing System Based on Complex Network and Multi-Agent Simulation
Cloud manufacturing systems (CMSs) are networked, distributed and loosely coupled, so they face great uncertainty and risk. This paper combines the complex network model with multi-agent simulation in a novel approach to the robustness analysis of CMSs ...
Xin Zheng, Xiaodong Zhang
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AbstractOutlier observations caused by big claims or by an event producing a series of claims are a special problem in ratemaking and in tariff calculation. The authors believe that combining credibility and robust statistics is the right answer to this problem.
Alois Gisler, Peter Reinhard
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BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks
Bayesian Networks (BNs) are probabilistic, graphical models for representing complex dependency structures. They have many applications in science and engineering.
Dominik Paprotny +3 more
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Identifying critical nodes in complex networks based on neighborhood information
The identification of important nodes in complex networks has always been a prominent topic in the field of network science. Nowadays, the emergence of large-scale networks has sparked our research interest in complex network centrality methods that ...
Na Zhao +5 more
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