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Coles, P. J., Berta, M., Tomamichel, M. & Wehner, S….

Heisenberg, W. Über den anschaulichen Inhalt der quantentheoretischen Kinematik und Mechanik. Z. Phys. 43, 172 (1927).
Google Scholar
Coles, P. J., Berta, M., Tomamichel, M. & Wehner, S….

To assess the effectiveness of our proposed improvements, we performed a series of trajectory prediction experiments using datasets that include both data obtained under license and publicly available sources. The experiments focused on assessing…

Datasets :We ran our experiment on two datasets. CIFAR-1033 is a labeled subset of the 80 million small image dataset for object recognition, which contains 60,000 32 \(\times\) 32RGB images in 10 categories, 5000 images per…

Bajwa, J., Munir, U., Nori, A. & Williams, B. Artificial intelligence in healthcare: Transforming the practice of medicine. Future Healthc J 8, e188–e194. https://doi.org/10.7861/fhj.2021-0095 (2021).

In this section, experiments on bearing fault diagnosis using the CWRU dataset are conducted, and the diagnostic results are evaluated using precision, recall, and F1 score to analyze the misdiagnosis and missed diagnosis cases of the…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically similar bacteria and mainly occurs…

Gray Level Energy and Gradient Energy are two important metrics used for image feature extraction34. They can reflect the grey scale distribution and texture information of an image, which is very useful for the analysis…

We employ the PPO algorithm7, which has become a standard choice in the field, to compare Dreamer under fixed hyperparameters across all benchmarks. There are a large number of PPO implementations available publicly and they are known…

To further demonstrate the effectiveness of the proposed method for fire detection, detailed experiments are conducted on two self-built datasets and a public video set to evaluate and compare its performance with other advanced methods. This…

In this section, we will use SaRa for the estimation of multiple breaks in both static and dynamic panel data models.
Consider the following static panel data model
$$\begin{aligned} y_{it} = \mu _i + x’_{it}…