Category: 7. Maths

Figure 3 in MTAM diagram of CFoSR based on optimal capacity and benefitshows the MTAM diagram of CFoSR based on optimal capacity and benefit. According to the recognition and positioning module, heterogeneous multi-manipulator module, belt…

Fourier-based KAN layer

KANs are inspired by the Kolmogorov–Arnold superposition theorem, which states that any multivariate continuous function can be expressed as a finite composition of univariate functions and additions. Accordingly, KANs…

The MANIT frameworks combine facial features, eye gaze, and performance-related historical data together to make an automatic online proctoring system more reliable and effective. The simplified overview of the workflow and different components…

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Hand biometrics, including fingerprints and palmprints, are widely used for secure identification due to their high identification accuracy and non-intrusiveness. It is one of the most used in multiple applications. Actually, multibiometrics and…

Data processing of pulmonary medical images

This experimental dataset is derived from four publicly available medical imaging datasets of the pulmonarys. The pneumonia images²⁵ from pediatric patients aged 1 to 5 years at Guangzhou Women’s and…

In this manuscript, the EDLMOA-CHM technique is proposed. The EDLMOA-CHM technique aims to develop and evaluate effective methods for monitoring health conditions in the IoMT, enhancing healthcare system security and patient safety. To accomplish…

In this structure, we set \(\:{d}_{\text{A}}\) = 2 nm, \(\:{d}_{\text{C}}\) = 16 nm, \(\:{d}_{1}\) = 300 nm, \(\:{d}_{2}\) = 290 nm, …, \(\:{d}_{\text{N}}\) = 100 nm, indicating that the thickness difference between adjacent layers of…

To enhance the use of remote sensing images in monitoring natural disasters and modeling regional changes induced by such events, in this section, we introduce a Siamese Change Detection Network (SNIIF-Net) based on information exchange and…

Accurate forecasting of the future burden of diabetes requires addressing the complex temporal dependencies in time-series data. These dependencies emerge from interactions among factors such as prevalence, mortality rates, and…