In this section, we provide the proposal for machining process dynamics rooted in energy variation. Some key techniques are described, such as microstate decomposition and importance weighting. Besides, the overall framework and model structure…
Category: 7. Maths
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A novel dual-student reverse knowledge distillation method for magnetic tile defect detection
The method proposed in this article is a dual student knowledge distillation framework based on reverse distillation called BSDRD, which is different from the paired distillation method54, which uniformly processes all features. Our method is…
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Deep learning application to hyphae and spores identification in fungal fluorescence images
Materials
This study was conducted under the supervision of the Ethics Committee (KY2023-057) of Huashan Hospital, affiliated with Fudan University. Our study had adhered to the guidelines and principles stated in the’Declaration of Helsinki’….
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Hybrid modeling for optimizing electrospun polyurethane nanofibrous membranes in air filtration applications
In the modeling stage, the model’s performance was assessed using the Total Goodness Function (TGF), a metric whose effectiveness has been previously validated in the literature23,24,25. This function accounts for the coefficient of…
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Two forecasting model selection methods based on time series image feature augmentation
Gramian angular field
GAF utilizes a polar coordinate system to represent time series data23. This method constructs a matrix of temporal correlations for each pair of time points \((x_{i},x_{j})\) from the series X. The matrix entry at position…
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Harvard’s ultra-thin chip could revolutionize quantum computing
- New research shows that metasurfaces could be used as strong linear quantum optical networks
- This approach could eliminate the need for waveguides and other conventional optical components
- Graph theory is helpful for designing the…
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Analysis of space solar array arc images based on deep learning techniques
Solar array and the tested cells
Figure 2a shows pictures of a solar array sample of cells used in the experimental simulation. All dielectric–conductor junctions close to one interconnect area are insulated by tape to avoid spectral arcs…
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Integrating system dynamics and machine learning for environmental impact analysis of building materials in the demolition process
System dynamics (SD) model development
The SD model was developed to assess the environmental impacts associated with the demolition tools used in building demolitions in Thailand. This model is comprised of eight interlinked sub-models: (1) the…
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An adaptive spatiotemporal dynamic graph convolutional network for traffic prediction
Datasets
To comprehensively evaluate the performance of AST-DGCN, we utilize four real-world datasets from the Caltrans Performance Measurement System (PeMS)39: PEMS03, PEMS04, PEMS07, and PEMS08. The distribution of traffic detectors for PeMS is…
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Surface plasmon enhanced linear and nonlinear optical properties of lycopene bioconjugated silver nanoparticles
Linear optical investigations
In order to characterise and monitor the structural changes of as-prepared samples, UV–Vis absorption spectroscopy and Raman spectroscopy were carried out. The absorption spectra of lycopene and lycopene@Ag NPs…
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