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]…
Category: 7. Maths
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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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Integrating data-driven and physics-based approaches for robust wind power prediction: A comprehensive ML-PINN-Simulink framework
This section provides a comprehensive examination of the methodologies employed in forecasting wind energy generation using the most effective machine learning models, such as Random Forest and XGBoost. The discussion encompasses data…
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Accelerating clinical evidence synthesis with large language models
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…
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Breast cancer is detectable from peripheral blood using machine learning over T cell receptor repertoires
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…
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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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