Titlebook: Mathematical Analysis and Simulation of Field Models in Accelerator Circuits; Idoia Cortes Garcia Book 2021 The Editor(s) (if applicable)

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Idoia Cortes Garcia use of the BERT [.] model that has been pre-trained to provide rich initialization parameters for our model. Second, in order to achieve entity-centered relationship extraction, we propose a BERT [.] and multifaceted semantic relationship extraction model based on BERT [.] with multifaceted semanti

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Idoia Cortes Garcia of other popular methods, such as traditional Mask-RCNN, RetinaNet, Swin Double head RCNN, and Cascade Swin-RCNN, in terms of recognition accuracy and training speed. Moreover, this paper also designs a second experiment and proved that the proposed model can accurately detect road surface areas wh

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Idoia Cortes Garcias the student to directly master the feature aggregation rules from teacher GNNs. Meanwhile, we propose a Selective Attribution Transfer (SAT) module that identifies task-relevant topological substructures to assist the capacity-limited student in mitigating noise and enhancing performance. Extensiv

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Idoia Cortes Garciae develop a structural re-parameterization technique for multi-scale 1-D convolutions to boost the inference speed. Extensive experiments in classification and object detection verify the superiority of our proposed method over other state-of-the-art counterparts. This factorizing-and-combining mech

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https://doi.org/10.1007/978-3-030-63273-1Nonlinear Circuit Models; Simulation of Superconducting Magnets; Differential Algebraic Equations(DAEs