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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Category: 7. Maths
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Analysing community-level spending behaviour contributing to high carbon emissions using stochastic block models
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…
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MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data
The MathOdyssey dataset was meticulously designed to evaluate the mathematical reasoning capabilities of large language models (LLMs). The creation process involved structured stages, including expert recruitment, problem development, review,…
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A hybrid reinforcement learning and knowledge graph framework for financial risk optimization in healthcare systems
This section presents the architecture, learning framework, and overall workflow of the proposed hybrid reinforcement learning and knowledge graph-based system for financial risk optimization in healthcare systems. We describe the proposed…
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Inverse unit compound Rayleigh distribution: statistical properties with applications in different fields
Limiting behavior and mode of the PDF of IUCRD
For the IUCRD,
$$\begin{aligned} \underset{x \rightarrow 1}{\lim }\ f(x)= 2\tau \rho ^\tau \underset{x \rightarrow 1}{\lim }\ \left[ (x-1)^{2\tau -1}\left( \rho (x-1)^2+1\right) ^{-(\tau +1)}\right]…
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Spatiotemporal analysis and forecasting of public attention to China’s five major religions
Time characteristics
General trend
According to Fig. 2, the changing trends in public attention to China’s five major religions from 2020 to 2024 reveal the following patterns: (1) Buddhism shows a clear downward trend, indicating a decline in…
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ERNIE-TextCNN: research on classification methods of Chinese news headlines in different situations
Overall model structure
To address the difficulties (1), (2), and (3) in the previous section, we propose an extremely short Chinese news headline classification method based on the ERNIE-AAFF-SECNN network model structure. The model mainly…
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DegradAI: A scalable framework for early battery health diagnosis from limited data
To address the challenge of predicting LIB capacity degradation across diverse chemistries and conditions using limited data, we developed the DegradAI framework. As illustrated in Fig. 1, DegradAI employs a MoE60 approach to model complex,…
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A strategic decision-making framework for evaluating barriers to green supply chain management using fractional fuzzy similarity measures
This section provides a concise overview of the fundamental definitions of FSs, IFSs, PIFSs, SFSs, FFSs, and existing similarity measures (SMs).
Definition 1
1 A FSs over a non-empty set \(\:\mathcal{A}\) is of the…
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Effortless 3D radio maps generation for fingerprinting-based indoor positioning system
In this section, the user position is estimated using different variations, i.e., 8 APs, 4 ground floor APs, 4 first floor APs, and 2 ground floor and 2 first floor APs. The position is estimated at 14 different points in the experimental…
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