As mentioned earlier, stationary is an important component of time series predictability. Previous research efforts have focused on “direct smoothing” to reduce the non-smoothness of the series in order to obtain better predictability….
Category: 7. Maths
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Application of the metaheuristic algorithms to quantify the GSI based on the RMR classification
Assessment of predictive accuracy using standard performance metrics
The prediction capability of the PSO, GWO, and SA models is further assessed through the standard metrics, including R2, RMSE, MAE, MAPE, ASE, and MARE. Ideally, a model with an…
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Green supply chain strategy considering participant fairness concern and uncertainty of research and development
Manufacturers’ production activities are often the links that have a direct impact on supply chains’ greening and upgrading. Promoting manufacturers’ technology improvement in production ability and pollution control becomes an important…
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Sparse transformer and multipath decision tree: a novel approach for efficient brain tumor classification
Dataset
We utilized a publicly available brain MRI dataset from Kaggle16. As shown in Fig. 1, the dataset comprises four tumor categories: no tumor, glioma, meningioma, and pituitary tumor.
Fig. 1 Visualization of samples in the brain MRI dataset…
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The dissemination potential of Microsporidia MB in Anopheles arabiensis mosquitoes is modulated by temperature
Experimental design
Mosquito collection
1583 larvae used in this study were obtained from 17 field caught gravid Anopheles arabiensis female collected via mouth aspiration from Kigoche village (00° 34′ S, 34° 65′ E) in the Ahero irrigation…
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Investigating factors affecting the quality of water resources by multivariate analysis and soft computing approaches
In this part, the results of measurements related to water quality parameters are presented. The results were compared with different standards and the most important factors affecting water quality parameters were also identified by statistical…
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Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection
This study focuses on qualitatively evaluating the clinical usefulness of a selection of XAI methods. Feedback from gastroenterologists shows that their XAI preferences vary: Not all prefer receiving model explanations in the clinic, and their…
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Proactive care architecture for care robots
General description of PCA
Our team previously proposed a Desire-Driven Reasoning System (DDRS)26,27, which can infer the appropriate care service \(\ a\) based on the physiological desire \(\ d\) expressed by the care recipient. However, this…
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Multi attribute group decision-making based on quasirung orthopair fuzzy Frank aggregation operators for optimal vehicle selection
We have presented some basic laws for working with the Frank t-norm and the t-conorm in this section. Based on these laws, we have constructed AOs, which we call \(p,q\)-QOFFWA, \(p,q\)-QOFFWG, \(p,q\)-QOFFOWA and \(p,q\)-QOFFOWG AOs.
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CRxK dataset: a multi-view surveillance video dataset for re-enacted crimes in Korea
Ratcliffe, J. Reducing Crime: A Companion for Police Leaders. Routledge, ??? (2018)
Caldwell, M., Andrews, J. T., Tanay, T. & Griffin, L. D. Ai-enabled future crime. Crime Science 9(1), 1–13 (2020).
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