In this section, we introduce the comprehensive architecture and computational methods of the proposed model with the aim of enhancing the interpretability and accuracy of PINNs. Meanwhile, to address the impact of the penalty factor of the…
Category: 7. Maths
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Predicting badminton outcomes through machine learning and technical action frequencies
Identification of critical technical movements contributing to success in competitions
In this study, we collected data from international badminton competitions from 2019 to 2023, aiming to statistically analyze the frequency of each technical…
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Bilingual Dialogue Dataset with Personality and Emotion Annotations for Personality Recognition in Education
After generating utterances based on specific profiles, we implement several evaluation strategies to assess their quality. The tests are organized in the following clusters:
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(1)
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(1)
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Mini rolling robot takes virtual biopsies
A tiny magnetic robot which can take 3D scans from deep within the body, that could revolutionise early cancer detection, has been developed by researchers.
The team, led by engineers from the University of Leeds, say this is the first time it…
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Integrating statistical physics and machine learning for combinatorial optimization
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This is a summary of: Shen, Z.-S. et al. Free-energy machine for combinatorial optimization. Nat. Comput….
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Approximation-based adaptive fixed-time tracking control for uncertain high-order nonlinear systems subject to time-varying parameters and unknown input nonlinearity
Adaptive NN FTTC law design
Define the following error transformation as
$$z_{i} = x_{i} – \upsilon_{i}$$
(15)
where \(\upsilon_{1} = y_{d}\), and \(z_{1}\) represents the tracking error, \(\upsilon_{i}\), \(i =…
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A cohomology-based Gromov–Hausdorff metric approach for quantifying molecular similarity
Simplicial complexes
In many applications, molecular data from biology, chemistry, and material science can be represented as graphs50,51. In this framework, the vertices correspond to atoms, while the edges represent affinities between pairs of…
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Balancing centralisation and decentralisation in federated learning for Earth Observation-based agricultural predictions
As the crop yield data is not available in high enough resolution to train a model, the crop type segmentation task is used as a proxy to test the different aggregation scales. Initially, the client-side model is established, followed by the…
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A prospective code for value in the serotonin system
Dayan, P. & Huys, Q. Serotonin’s many meanings elude simple theories. eLife 4, e07390 (2015).
Google Scholar
Liu, Z., Lin, R. & Luo, M. Reward contributions to serotonergic…
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Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis
An overview of key results and corresponding methods are shown in Table 1.
Table 1 Summary of key results and methods. Search and selection
We identified 27,312 studies by systematically searching the five medical databases above (Medline: 13096,…
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