Model entries 19 public model repositories or workflows. Successful reproductions 16 entries with command-level evidence. Partial reproductions 0 entries where only a reduced or incomplete run ...

Abstract: A novel online discrete-time parameter identification algorithm suitable for surface-mounted permanent magnet synchronous machines (SPMs) is presented in this paper. It is developed by means ...

Abstract: This paper proposes a general analytical model of surface-mounted permanent magnet (SPM) machines with series-connected coils under inter-turn short circuit (ITSC) fault. One prominent ...

If you use TMFC toolbox, please cite this study: Masharipov et al. "Comparison of whole-brain task-modulated functional connectivity methods for fMRI task connectomics." Commun Biol 7, 1402 (2024).

We describe a new comprehensive and open-source MATLAB library, called the Visual Display Interface (VDI), designed to process, model, quantify and visualize magnetic resonance spectroscopy (MRS) and ...

We developed a MATLAB-based toolbox for the analysis of inter-brain synchrony (IBS) and performed an experimental study to confirm its performance. To the best of our knowledge, this is the first ...

Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies have been increasing ...

Structural magnetic resonance imaging (MRI) has elicited increasing attention in morphological surface studies due to its stability and sensitivity to neurodegenerative processes, particularly in ...

Established in 2009, Yenepoya (deemed to be university) is located in the south Indian city of Mangalore, in the state of Karnataka. It is a deemed to be university, meaning it has been given ...

“Do no harm” is a universal principle of human social life. But how do we learn which of our actions help or harm others? Learning theory suggests there are two different systems that govern how we ...

We aimed to investigate the ability of machine learning (ML) techniques analyzing diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging to ...