Category: 7. Maths

Description of the TrialReviewBench dataset

We present the overall flow in building the TrialReviewBenchdata in Supplementary Fig. 4.

For database search and initial filtering, we undertook a comprehensive search on the PubMed database for…

The study investigated the relationship between T-cell receptor (TCR) repertoires in peripheral blood and tumor status by comparing blood samples from Breast Cancer (BC) patients and Healthy Donors (HD). Leveraging machine learning techniques, a…

On the basis of the distributed optical fiber data analysis results, a spatial correlation model for the strain at symmetric measurement points on the left and right track structures is constructed by using a GAN with residual learning. The…

In this study, we develop a mathematical framework based on discrete fractional equations with initial conditions to examine tumor-immune system interactions. This model consists of a coupled set of nonlinear difference equations formulated using…

Sensitivity analysis of batch sensors

This study initially conducted field tests in Hong Kong for 75 individual MAS gas sensors to analyze the coefficient characteristics of their sensitivity. Each MAS sensor underwent multiple 5 to 10-day…

Stability analysis examines how the solutions of a system behave as time progresses, particularly in response to changes in initial conditions or parameters. Following are the key steps involved in stability analysis of system Eq. (5).

Local…

Datasets

The data sets we employ are from the TUDataset⁴⁷ and OGB datasets⁵. Table 1 presents the data of TUDataset, and Table 2 presents the data of OGB datasets. TUDataset, a widely used dataset library for graph machine learning that contains…

This section presents the results obtained from applying the proposed H-SAGA optimization model. We validate the data characteristics, evaluate the performance of H-SAGA including its convergence and optimization outcomes, compare it against…

In this section, we first describe the SR problem and subsequently present the architecture of our proposed method. After that, we delve into the specific details of the core components that constitute DBAN.

Method description

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We obtain financial transaction data from ekko²⁰, a sustainable banking FinTech company, alongside several government datasets. These include the Index of Multiple Deprivation (IMD)²¹ , Living Cost and Food Survey (LCFS)²², and UK Multi-Region…