Results 1 to 10 of about 2,966,126 (269)
Indoor–Outdoor Detection in Mobile Networks Using Quantum Machine Learning Approaches
Computers, 2021 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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BMC Medical Informatics and Decision Making, 2022 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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Adaptive Second-Order Sliding Mode Control of Buck Converters with Multi-Disturbances
Energies, 2022 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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Fish mislabelling in France: substitution rates and retail types [PDF]
PeerJ, 2015 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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Robustness of Cloud Manufacturing System Based on Complex Network and Multi-Agent Simulation
Entropy, 2022 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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BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks
SoftwareX, 2020 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
New Journal of Physics, 2023 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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Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design
IEEE Access, 2023 Recent advancements in developing pre-trained models using large-scale datasets have emphasized the importance of robust protocols to adapt them effectively to domain-specific data, especially when the available data is limited. To achieve data-efficient
S. Devi +4 more
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Optimization of the semi-active vibration absorbers
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska, 2021 In this paper, an efficient numerical approach is proposed to maximize the minimal damping of modes in a prescribed frequency range for general viscous tuned-mass systems.
Volodymyr Snitynskyy +6 more
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On the Regressand Noise Problem: Model Robustness and Synergy With Regression-Adapted Noise Filters
IEEE Access, 2021 This research focuses on analyzing the robustness of different regression paradigms under regressand noise, which has not been examined in depth in the specialized literature.
Juan Martin +2 more
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