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Wouters, O. J., McKee, M. &…
Category: 7. Maths
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Outlier-tolerant relative positioning method based on multi-source information fusion for unmanned aerial vehicles
In this section, the outlier-tolerant LS method is applied to the relative positioning of two UAVs via multi-source information fusion, to avoid the adverse impact of abnormal measurement data on the accuracy of relative positioning and ensure…
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Climate change prediction in Saudi Arabia using a CNN GRU LSTM hybrid deep learning model in al Qassim region
We conducted our experiments using Jupyter Notebook version 7.2.1, a popular tool for data analysis and visualization in Python. Jupyter Notebook offers a versatile environment for writing, running, and documenting code, as well as creating…
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Research and application of deep learning object detection methods for forest fire smoke recognition
Evaluation and analysis of loss functions
In object detection tasks, model performance is typically assessed through the comprehensive optimization of multiple loss functions to ensure effective learning of various target attributes. This study…
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Multimodal anomaly detection in complex environments using video and audio fusion
Datasets collection
To assess the effectiveness of the proposed algorithm in different scenes, two enhanced public video datasets are selected: the UCSD Ped2 dataset (dataset A), which mainly contains outdoor scenes of pedestrians walking, and…
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A hierarchical model for community identification in complex networks through modularity and genetic algorithm
Identification of community structures in complex networks using similarity or modularity criteria is a common practice. Existing related methods are not capable of accurately estimating the exact number of nodes present in each community. This…
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Modeling the decarburization of expansion droplets based on the solid phase ratio of slag and data fitting during BOF steelmaking process
For the multiphase slag conditions, the impact of the solid phase ratio on the physicochemical properties of slag need be considered. In this section, the solid phase ratio was analyzed at different FeO contents, and the improved decarburization…
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Interpolation and differentiation of alchemical degrees of freedom in machine learning interatomic potentials
Alchemical graph and message passing
Prototypical MLIP construction
Our objective here is to introduce modifications to the non-learnable parts of the MLIPs so that we can model the alchemical compositions of materials without further fine-tuning…
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Developing an intuitive decision support system for equitable vaccine distribution during pandemics
Key stakeholders and roles in the Norwegian vaccine distribution network
The interviews with key stakeholders revealed that, after the H1N1 pandemic 2009, new policy guidelines were developed for new (influenza) pandemics/epidemics at the national…
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Discrete wavelet integrated convolutional residual network for bearing fault diagnosis under noise and variable operating conditions
To illustrate the anti-noise capabilities of the proposed DWCResNet in varying circumstances, a bearing fault diagnosis validation is conducted utilising the Case Western Reserve University (CWRU) bearing data and the Paderborn University (PU)…
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