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The fractal dimension (FD) is a valuable tool for analysing the complexity of neural structures and functions in the human brain. To assess the spatiotemporal complexity of brain activations derived from electroencephalogram (EEG) ...

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• FDI toolbox computes efficiently the Fractal Dimension Index from EEG sources.
• FDI uses GPU-accelerated algorithms for fast 3D and 4D fractal dimension calculations.
• FDI is compatible with EEG source reconstruction tools like ...

The molecular ratio indices of biological markers (biomarkers), such as the Carbon Preference Index (CPI) or P _aq, are frequently used as proxies for paleoclimatic and palaeoecological conditions. These indices are regularly extracted from the ...

• Automatic detection and integration algorithm for GC-FID data.
• Reproducible and efficient calculations of hydrocarbon indices (e.g., CPI, ACL, P aq).
• Standard-referenced biomarker peak identification.
• Open-source package for ...

In this paper, we introduce a new vectorized MATLAB-based algorithm for efficient serial computation of global matrix/force arising from finite element method (FEM) for meshes of any type and approximation order in linear elasticity. Because for-...${}_{\mathrm{}}$${}_{\mathrm{}}$

The covXtreme software provides functionality for estimation of marginal and conditional extreme value models, non-stationary with respect to covariates, and environmental design contours. Generalised Pareto (GP) marginal models of peaks over ...

• covXtreme estimates non-stationary marginal and conditional extreme value models.
• Roughness-penalised piecewise-constant representations adopted for covariate effects in models.
• Thorough uncertainty quantification is provided ...

Depression, a debilitating mental illness, profoundly impacts an individual’s cognition, behaviour, and emotions. Despite efforts to quantify depression rates through electro-encephalo-gram (EEG) signal analysis, classification remains challenging ...

Recommendation system is used to filter the information according to the customer’s satisfaction. Based on consumer reviews, this approach discovers and compares product scores, ratings, and rankings. Here, the data are obtained from Amazon ...

In this study, we developed a MATLAB program for flood prediction in a watershed. The program consists of three modules. The instantaneous unit hydrograph (IUH) generation module utilizes a power-law based interpolation method to generate IUHs. ...

• We have developed a MATLAB program for flood prediction.
• IUH generation module for surface runoff utilizes a nonlinear power law-based interpolation.
• LSTM module employs a deep learning model to estimate the curve number and ...

The main objective of this paper is to present the fabrication of a flexible double-heterojunction gallium arsenide solar cell and analyse the photoelectric characteristics by experimental and numerical investigations. Remote epitaxy was used in ...

Pressure sensors have shown an astounding change in revenue generation during the past few years. The rapid expansion of smart micro-system technology for automation systems has significantly increased the demand for sensors. One of the main ...

This study presents the application of a twin delayed deep deterministic policy gradient (TD3) based controller for vertical take-off and landing (VTOL) system control. The TD3 algorithm is a deep reinforcement learning (DRL) algorithm (actor-critic type)...

During the spinning process of a spinning machine, the tension of the yarn is directly related to the quality of the yarn and the number of the thread ends. The detection of the yarn balloon tension has always been a hot research topic for experts and ...

In order to obtain the rigorous accuracy of any point on the straight line element, based on existing research, this article considers the error of the straight line element and the error of any point to its end point of the straight line element, ...

In the sphere of Engineer-to-Order (ETO) manufacturing, the demand for highly customized and rapidly adaptable solutions is escalating, particularly in the context of Industry 4.0 and the burgeoning focus on hyper-customization in Industry 5.0. ...

The prime goal of parallel computing is the simultaneous parallel execution of several program instructions. Consequently, to accomplish this, the program should be divided into independent sets so that each processor can execute its program part ...

• NLDyn offers 80+ methods for intricate analysis of multi-channel physiological signal dynamics.
• NLDyn integrates advanced nonlinear and multivariate techniques.
• Developed in MATLAB, NLDyn features an intuitive interface with ...

We present NLDyn, an open-source MATLAB toolbox tailored for in-depth analysis of nonlinear dynamics in biomedical signals. Our objective is to offer a user-friendly yet comprehensive platform for researchers to explore ...

A fast vectorized codes for assembly mixed finite element matrices for the generalized Navier–Stokes system in three space dimensions in the MATLAB language are proposed by the MINI element. Vectorization means that the loop over tetrahedra is avoided. ...

The globalization of educational processes has intensified the introduction of interactive learning forms. Education systems around the world have undergone transformation, modernization, and innovation. These processes also implied the ...

Consensus clustering is gaining increasing attention for its high quality and robustness. In particular, k-means-based Consensus Clustering (KCC) converts the usual computationally expensive problem to a classic k-means clustering with generalized utility ...

This paper presents an efficient MATLAB code for the discrete adjoint-based level set method, which is compact and provided for 2D stress-constrained problems. The discrete adjoint-based level set method inherits the implicit representation of ...

In this paper, simulation analysis of water level control of boiler is presented with the help of fuzzy controller. PID controller parameters proportional, integral and differential gain (Kp, Ki, Kd) are tuned with the help of Fuzzy Logic. The ranges of ...