Results 41 to 50 of about 868,146 (162)
Mathematical approach for rapid determination of pull-in displacement in MEMS devices
Frontiers in PhysicsIntroductionMicroelectromechanical systems (MEMS) are pivotal in diverse fields such as telecommunications, healthcare, and aerospace. A critical challenge in MEMS devices is accurately determining the pull-in displacement and voltage, which ...
Yongcun Shao, Yutong Cui
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Development of JAERI Monte Carlo machine and its effective performance
Computer Assisted Methods in Engineering and Science, 2023 The JAERI Monte Carlo Machine has been developed mainly to enhance the computational performance of numerical simulations with particle models such as Monte Carlo methods. The features of the JAERI Monte Carlo machine are i) vector processing capability
Kenji Higuchi +7 more
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Multi-Modal and Multi-Temporal Data Fusion: Outcome of the 2012 GRSS Data Fusion Contest
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013 The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the potential use of very high spatial resolution (VHR) multi-modal/multi-temporal image ...
Christian Berger +16 more
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Processing on Structural Data Faultage in Data Fusion
Data, 2020 With the rapid development of information technology, the development of information management system leads to the generation of heterogeneous data. The process of data fusion will inevitably lead to such problems as missing data, data conflict, data ...
Fan Chen +3 more
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2-D Ray-Tracing Model for Multilayer Dielectric Dome Arrays With Inner Reflections
IEEE Open Journal of Antennas and PropagationThe application of lenses combined with array antennas (also known as dome arrays or dome antennas) to the next generation of terrestrial and satellite communication systems brings a wide range of advantages in terms of improved radiation performance ...
Maria Pubill-Font +5 more
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Methodologies for spectroscopic and process data fusion and software implementation of data fusion algorithms.
TianXiang Yue +3 more
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Challenges and Countermeasures of Federated Learning Data Poisoning Attack Situation Prediction
MathematicsFederated learning is a distributed learning method used to solve data silos and privacy protection in machine learning, aiming to train global models together via multiple clients without sharing data.
Jianping Wu, Jiahe Jin, Chunming Wu
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 In this paper, we report the outcomes of the 2015 data fusion contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society.
A.-V. Vo +8 more
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Efficient training sets for surrogate models of tokamak turbulence with Active Deep Ensembles
Nuclear FusionModel-based plasma scenario development lies at the heart of the design and operation of future fusion powerplants. Including turbulent transport in integrated models is essential for delivering a successful roadmap towards operation of ITER and the ...
L. Zanisi +9 more
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ISPRS International Journal of Geo-Information, 2015 Due to the fact that geospatial information technology is considered necessary for disaster risk management (DRM), the need for more effective collaborations between providers and end users in data delivery is increasing. This paper reviews the following:
Hiroyuki Miyazaki +2 more
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