activity
20132025
most citedCosmological Fluid Mechanics with Adaptively Refined Large Eddy Simulations

47 citations · 76 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Classification of Tents in Street Bazaars Using CNN

Azamat Ibragimov, Ruslan Isaev, Remudin Reshid Mekuria +2

This research paper proposes an improved deep learning model for classifying tents in street bazaars, comparing a custom Convolutional Neural Network (CNN) with EfficientNetB0. Thi…

cs.HC2023★ 10 cited

HIVA: Holographic Intellectual Voice Assistant

Ruslan Isaev, Radmir Gumerov, Gulzada Esenalieva +2

Holographic Intellectual Voice Assistant (HIVA) aims to facilitate human computer interaction using audiovisual effects and 3D avatar. HIVA provides complete information about the…

cs.SE2023★ 9 cited

Applying Machine Learning Analysis for Software Quality Test

Al Khan, Remudin Reshid Mekuria, Ruslan Isaev

One of the biggest expense in software development is the maintenance. Therefore, it is critical to comprehend what triggers maintenance and if it may be predicted. Numerous resear…

cs.LG2023★ 9 cited

Morphological Classification of Galaxies Using SpinalNet

Dim Shaiakhmetov, Remudin Reshid Mekuria, Ruslan Isaev +1

Deep neural networks (DNNs) with a step-by-step introduction of inputs, which is constructed by imitating the somatosensory system in human body, known as SpinalNet have been imple…

astro-ph.CO2023★ 1 cited

Observational constraints of diffusive dark-fluid cosmology

Shambel Sahlu, Upala Mukhopadhyay, Remudin R. Mekuria +1

In this manuscript, we investigate late-time cosmology and the evolution of cosmic structures using an interacting dark fluid model in which dark matter (DM) and dark energy (DE) i…

astro-ph.CO2013★ 47 cited

Cosmological Fluid Mechanics with Adaptively Refined Large Eddy Simulations

W. Schmidt, A. S. Almgren, H. Braun +6

We investigate turbulence generated by cosmological structure formation by means of large eddy simulations using adaptive mesh refinement. In contrast to the widely used implicit l…