The global human population is undergoing rapid growth, leading to substantial impacts and posing significant challenges to humanity. Among these challenges, the scarcity of food has emerged as a critical issue, primarily stemming from the…
Category: 7. Maths
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Automated diagnosis for extraction difficulty of maxillary and mandibular third molars and post-extraction complications using deep learning
Hugoson, A. & Kugelberg, C. F. The prevalence of third molars in a Swedish population. An epidemiological study. Community Dent. Health. 5, 121–138 (1988).
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Gisakis, I….
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Effect of visceral fat on onset of metabolic syndrome
Geneva WHO. Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000–2019, (2020).
Saklayen, M. G. The global epidemic of the metabolic syndrome. Curr. Hypertens. Rep. 20, 12 (2018).
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An end-to-end mass spectrometry data classification model with a unified architecture
Datasets with batch effects
To validate the classification performance of the model for data with batch effects, we chose the Myocardial Infarction (MI) and Coronary Heart Disease (CHD) datasets. Matrix-assisted laser desorption/ionization mass…
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Histopathological image based breast cancer diagnosis using deep learning and bio inspired optimization
Feature extraction using denseNet-41
DenseNet-41 is a powerful feature extractor that excels in histopathological image analysis by leveraging dense connections. Unlike architectures such as ResNet, DenseNet-41 ensures efficient feature reuse,…
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Assessing the performance of domain-specific models for plant leaf disease classification: a comprehensive benchmark of transfer-learning on open datasets
Data acquisition
A lot of current papers use the PlantVillage21 dataset to facilitate their research projects (see Figure 2). This is most likely attributable to the fact that the dataset is publicly available in a field where good public datasets…
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A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning
Testing and analysis of few-shot fault diagnosis models under cold-start conditions
Following the experimental protocol, the target-domain test data are partitioned into four subsets: Single-condition TS1 (800 r/min, 30 samples per fault class,…
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The extended- $$\left( \frac{G’}{G}\right)$$ -expansion method and new exact solutions for the conformable space-time fractional diffusive predator-prey system
AlMamun, A., Ananna, S., Gharami, P. P., An, T. & Asaduzzaman, M. The improved modified extended Tanh-function method to develop the exact traveling wave solutions of a family of 3D fractional WBBM equations. Results in Physics 41, 105969 (2022).
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The analysis of motion recognition model for badminton player movements using machine learning
SVM algorithm
SVM is a supervised learning algorithm widely used for classification and regression analysis23. Based on statistics and machine learning theories, SVM aims to find an optimal hyperplane that accurately separates data points from…
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STAR-RIS enabled covert integration of sensing communication and over-the-air computing with analysis and optimization
In this section, to evaluate the MSE of AirComp, we consider the joint optimization of the data transmission beamformer \({{\textbf{W}}_{m}}\), radar sensing beamformer \({{\textbf{F}}_{m}}\), data aggregation beamformer \(\textbf{A}\), and the…
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