Dealing with a mechanical system composed of N particles. The d’Alembert principle is
$$\begin{aligned} – {m_i}{{{\ddot{{{\varvec{r}}}}}}_i} + {{{{\varvec{F}}}}_i}\, + {{{{\varvec{N}}}}_i} = 0\,\,\,\,\left( {i = 1,2, \cdots ,N} \right)…
Category: 7. Maths
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A novel data-driven model to define physical activity metrics and predict mortality in patients with chronic obstructive pulmonary disease
Participant characteristics
The study cohort consisted of 413 COPD patients from outpatient clinics in the Netherlands (Table 1). According to the McRoberts guidelines, patients were required to wear the accelerometer for at least 22 h per day…
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Generic optimal power flow solution associated with technical improvements and emission reduction by multi-objective ARO algorithm
The main objective of the OPF problem is to optimize system objectives while adhering to predefined constraints. Solving the OPF leads to the determination of optimal control variable settings. In this context, we introduce a compact formula that…
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Enhancing deep learning-based field reconstruction with a differentiable learning framework
Wang, M. & Zaki, T. A. State estimation in turbulent channel flow from limited observations. J. Fluid Mech. 917, A9 (2021).
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Malekloo, A., Ozer, E., AlHamaydeh, M. & Girolami,…
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WASPAS-based multi-expert decision algorithm for physical education using circular pythagorean fuzzy aggregation with prioritized weights
In our daily life problems, we know that people are facing distinct types of decision-making problems. Decision-making is the process of selecting a course of action from multiple alternatives. It involves evaluating different options, weighing…
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Robust screening of atrial fibrillation with distribution classification
Camm, A. J. et al. 2012 focused update of the ESC guidelines for the management of atrial fibrillation: An update of the 2010 ESC guidelines for the management of atrial fibrillation developed with the special contribution of the European Heart…
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PEGASUS-XL with saliency-guided scoring and long-input encoding for multi-document abstractive summarization
This section presents a comprehensive evaluation of the proposed PEGASUS-XL framework. The experimental analysis is designed to assess the individual and collective impact of key components, including adaptive lexical-semantic saliency scoring,…
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A comprehensive analysis of perturbation methods in explainable AI feature attribution validation for neural time series classifiers
Compared to our previous paper, we extended the experiments by including additional AMs (+3), additional PMs (+15)—including time series specific PMs, and additional model architectures (+3). Table 3 provides an overview of the investigated…
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Automated identification of autism spectrum disorder from facial images using explainable deep learning models
This section reviews existing research on the application of machine learning and deep learning methods for the automated detection of ASD using facial images. It covers a wide range of approaches, including traditional machine learning…
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Adaptive ensemble spatial analysis | Scientific Reports
Ensemble spatial interpolation
In general, ensemble methodologies seek a robust characterisation of an analysed variable by combining responses obtained from different models24,25,26. In our case, this can be synthesised into the generation of…
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