11 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
7 papers
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…
Evaluation of the Pronunciation of Tajweed Rules Based on DNN as a Step Towards Interactive Recitation Learning
Dim Shaiakhmetov, Gulnaz Gimaletdinova, Kadyrmamat Momunov +1
Proper recitation of the Quran, adhering to the rules of Tajweed, is crucial for preventing mistakes during recitation and requires significant effort to master. Traditional method…
Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles
Gulnaz Gimaletdinova, Dim Shaiakhmetov, Madina Akpaeva +2
The increasing number of autonomous vehicles and the rapid development of computer vision technologies underscore the particular importance of conducting research on the accuracy o…
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…
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…
Electromyography Signal Classification Using Deep Learning
Mekia Shigute Gaso, Selcuk Cankurt, Abdulhamit Subasi
We have implemented a deep learning model with L2 regularization and trained it on Electromyography (EMG) data. The data comprises of EMG signals collected from control group, myop…
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…