Zaynidinov, Hakimjon
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Name Variants
Xakimjon, Hakimjon, Khakimjon
Hakimjon, Zaynidinov
Zaynidinov, H.
Zaynidinov, H. N.
Zaynidinov, Hakimjon
Zayniddinov, H. N.
Hakimjon, Zaynidinov
Zaynidinov, H.
Zaynidinov, H. N.
Zaynidinov, Hakimjon
Zayniddinov, H. N.
Job Title
Doctor of Technical Sciences, Professor
Email Address
h.zaynidinov@tuit.uz
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Scholarly Output
18
Articles
1
Citation Count
33
Supervised Theses
0
18 results
Scholarly Output Search Results
Now showing 1 - 10 of 18
Conference Object Citation Count: 4Algorithms and Service for Digital Processing of Two-Dimensional Geophysical Fields Using Octave Method(Springer international Publishing Ag, 2022) Zaynidinov, H. N.; Singh, Dhananjay; Yusupov, I; Makhmudjanov, S. U.; Department of Artificial IntelligenceThis paper covers new algorithms for digital signal processing of two-dimensional geophysical fields using octave method, which predicts the mineral value of the field in terms of signal energy value. In addition, it addresses and shows a functional scheme of the platform service based on cloud technologies. The essence of the work is that the geophysical data are two-dimensional, so their volume is very large. This requires the use of fast algorithms for digital processing of large amounts of data. Therefore, if we use the octave method effectively, the required result is obtained by calculating the value of the signal energy and comparing the finite difference of these values with its previous value.Book Part Citation Count: 3Evaluation Methods of Spline(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence[No Abstract Available]Conference Object Citation Count: 0Application of Daubechies Wavelets in Digital Processing of Biomedical Signals and Images(Springer Science and Business Media Deutschland GmbH, 2024) Zaynidinov, H.; Juraev, U.; Tishlikov, S.; Modullayev, J.; Department of Artificial IntelligenceWavelet analysis of one-dimensional signals has proven effective in deciphering the electrocardiogram (ECG). Promising results have already been obtained from their analysis. In particular, it has been shown that anomalous effects in the ECG are mainly manifested on much larger scales (low frequencies), while normal structures are characterized by relatively small scales (high frequencies). Denoising is one of the urgent problems of digital processing of biomedical signals and tomographic images. Wavelet methods are relatively new and are a method of denoising using wavelet functions. Wavelets allow for the analysis of various types of signals and effective noise removal, so it is of particular interest to study their potential to improve image quality. It is very convenient to use DWT (Discrete Wavelet Transform) in digital image processing, because it provides deep insight into the main spatial and frequency features. Wavelets provide excellent time-frequency localization, meaning they can capture both transient and stationary features in signals and images. This localization capability is especially valuable in medical applications where signals may contain abrupt changes or irregular patterns. In this paper, we will discuss the method of biomedical signal restoration and denoising in tomographic images using different wavelet functions such as Haar wavelet, Symlet, Meyer wavelet, Daubechies wavelet. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.Conference Object Citation Count: 3Iot-Enabled Mobile Device for Electrogastrography Signal Processing(Springer international Publishing Ag, 2021) Zaynidinov, Hakimjon; Makhmudjanov, Sarvar; Rajabov, Farkhad; Singh, Dhananjay; Department of Artificial IntelligenceElectrogastrography (EGG) is a powerful instrument that represents and provides high time precision for direct heart activities. After processing the chest skin for the contact process by network electrodes, the conventional method of collecting heart signals involves the presence of electrodes directly connected to the patient's chest using gelatin. One of the most critical activities is tracking the clinical signs of cardiac patients. A real-time EGG signal acquisition and processing device is developed to observe patients in various IoT-based environments is discussed in this article. The EGG signals that are detected are passed to special software. For further protection, it is ensured that the transmission of the EGG signal from the patient without distortion to the doctors should take place. The ambulatory and wearable device for the transmission of real-time EGG signals is discussed in this article in order to monitor patients in various environments. For further analysis, the captured EGG signal is transferred to software and signals are transferred to the doctors for real-time evaluation of the patient.Conference Object Citation Count: 4Methods for Determining the Optimal Sampling Step of Signals in the Process of Device and Computer Integration(Springer international Publishing Ag, 2022) Zaynidinov, Hakimjon; Singh, Dhananjay; Makhmudjanov, Sarvar; Yusupov, Ibrohimbek; Department of Artificial IntelligenceIn this paper, digital signal processing methods and its solution for HCI were described. Mostly, problems are connected to taking signals or data from real time devices. Data is often serial, stream or etc. device and computer integration in HCI focuses to digital signal processing. Today, the use of interpolation methods in the digital processing of biomedical signals is important, and at the same time allows the detection and diagnosis of diseases as a result of digital processing of biomedical signals. This paper discusses the construction of a signal model using the spline-wavelet interpolation formula for equal intervals in the digital processing of biomedical signals.Book Part Citation Count: 0Multidimensional Polynomial Splines(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence[No Abstract Available]Article Citation Count: 2Bi-Cubic Spline Based Temperature Measurement in the Thermal Field for Navigation and Time System(Tamkang Univ, 2019) Singh, Madhusudan; Zaynidinov, Hakimjon; Zaynutdinova, Mastura; Singh, Dhananjay; Department of Artificial IntelligenceThis paper highlights the use of Bi-cubic splines sets for measuring the temperatures at any point (x, y) on printed circuit boards (PCB). This has accomplished by approximating the system of bi-cubic splines of sets of temperatures measured at points on the PCB in a graphical view. The proposed approximation method is using Bi-cubic splines of modeling the temperature field T (x, y) and replace the continuous two variable function by a combination of single variable functions. While developing designs for the navigation and time system (NTS), there is a need for calculating and analyzing the heat generation processes in units in the NTS equipment, which is a factor in choosing design solutions for systems. The boards currently used can conduct full-fledged 3D simulations of heat transfers to PCB which are about 10 percent accurate compared to full-scale tests. It is always difficult to determine the temperatures at specific points on the PCB. Therefore the accurate numbers are only available at the boundaries of temperature zones.Editorial Citation Count: 0Signal Processing Applications Using Multidimensional Polynomial Splines Preface(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence[No Abstract Available]Book Part Citation Count: 3B-Spline Approximation for Polynomial Splines(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence[No Abstract Available]Book Part Citation Count: 3Requirements of Matlab/Simulink for Signals(Springer international Publishing Ag, 2019) Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov; Department of Artificial Intelligence[No Abstract Available]
