The methodology employs a compartmental modeling approach to investigate the transmission dynamics of Monkeypox (Mpox). This model extends the SEIR framework by stratifying the infectious phase into Prodromal (P) and Rash (R) compartments,…
Category: 7. Maths
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Hybrid deep learning for smart paddy disease diagnosis using self supervised hierarchical reconstruction and attention based temporal analysis
Materials
Paddy Doctor dataset data collected from IEEE Data port, following picture cleaning, our dataset consists of 16,225 images. Figure 2 depicts the data set, data collecting, and annotation procedure. Detailed information is shown in Table…
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An integrated algorithm for single lead electrocardiogram signal analysis using deep learning with 12-lead data
The proposed study introduces a structured methodology for dataset preparation, innovative DL model architecture design, and optimized environment configuration to enable binary classification across diverse experimental setups. The workflow is…
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Dynamical solitonic wave formation to optical fiber communications with strong nonlinearity and inhomogeneity
The \(\Phi ^{6}-\)model expansion scheme42,43
Take into account a general differential equation:
$$\begin{aligned} {\mathbb {W}}(\varphi ,\varphi _{t},\varphi _{x},\varphi _{tt},\varphi _{xx},\ldots ) = 0. \end{aligned}$$
…
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Multi-modal deep learning framework for early detection of Parkinson’s disease using neurological and physiological data for high-fidelity diagnosis
Modality-wise dataset description
The modalities of the data distribution are given in Table 1. The dataset has eight modalities, which include Audio 1, Audio 2, DaTSCAN images, Drawing task 1, Drawing task 2, MRI protocol 1, MRI protocol 2, and…
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Fast ground irradiance computations for agrivoltaics via physics-informed deep learning models
Overview of the pipeline
We introduce a machine learning pipeline for creating a surrogate model for raytracer simulations of the ground irradiance in an APV scene, which overcomes the challenge of long computation times. The surrogate model is…
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Exploring complex phenomena in fluid flow and plasma physics via the Schrödinger-type Maccari system
Hussain, A., Chahlaoui, Y., Zaman, F. D., Parveen, T. & Hassan, A. M. The Jacobi elliptic function method and its application for the stochastic NNV system. Alexandria Engineering Journal 81, 347–359 (2023).
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Multi-experts decision support system for recycling of waste material using some circular pythagorean fuzzy Muirhead means
This section introduces novel MM, WMM, DMM, and DWMM operators, laws, and properties within the CPyF framework. The effectiveness of the proposed approach is illustrated through reliable examples. CPyFS offers a robust and flexible framework for…
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COVID-19 mortality and nutrition through predictive modeling and optimization based on grid search
The application of ML tools has been increasingly prevalent in the field of research concerning diet, comorbidities, and COVID-19 mortality. Initial research concentrated on clinical risk factors such as age, diabetes, and cardiovascular…
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On the exploration of periodic wave soliton solutions to the nonlinear integrable Akbota equation by using a generalized extended analytical method
By utilized the homogeneous balance approach on Eq. (18), got \(\Bbbk =1,\) then solution consider in generalized simple form as
$$\begin{aligned} \Phi ( \varsigma )=\frac{B_{-1}}{\varPsi (\varsigma )}+B_{0}+B_{1}{\varPsi (\varsigma )}…
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