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Abdinabi Mukhamadiyev

Research Professor

Gachon University

South Korea

Research Interests

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About

Abdinabi Mukhamadiyev is a Research Professor at Gachon University in South Korea. His research areas include water resource management, sound event detection using deep learning techniques, energy efficiency in sensor networks, and advancements in speech recognition systems, particularly for the Uzbek language. He has authored several recent articles addressing topics from aquifer-level modeling to intelligent personal assistants and emotion recognition technologies.

Articles (15)

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2026

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2026

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2022

Collaborators (2)

Otabek Sattarov

Assistant Professor

Gachon University

SOUTH KOREA

View details

Halimjon Khujamatov

Research professor

Gachon University

SOUTH KOREA

View details

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Abdinabi Mukhamadiyev

Research Interests

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Articles (15)

Comparative Analysis of Methods for Improving the Classification Accuracy of Morphologically Similar Pollen Grain Classes on the CPD-1 Dataset

Exploiting Natural Information Redundancy for Reliability Control in Electronic Document Management: A Formal Framework and an Error-Annotated Corpus

Identification, Recognition, and Classification of Micro-Objects Based on Signal-Point Characteristics of an Image

On Exact Totient Recovery in Semiprimes via Square-Root Proximity

A Coupled Mathematical Model of Groundwater Dynamics and Salt Transport in a Two-Layer Porous Medium

A Nonlinear Model of Three-Layer Groundwater Flow with Evaporation Dependent on the Critical Groundwater Level

Model of Aquifer-Level Changes Based on Evaporation Intensity and Infiltration Coefficient

An Ensemble of Convolutional Neural Networks for Sound Event Detection

A Self-Similar Analysis of the Solutions to the Cross-Diffusion System

Intelligent Algorithms for the Detection of Suspicious Transactions in Payment Data Management Systems Based on LSTM Neural Networks

Clustered Routing Using Chaotic Genetic Algorithm with Grey Wolf Optimization to Enhance Energy Efficiency in Sensor Networks

Voice-Controlled Intelligent Personal Assistant for Call-Center Automation in the Uzbek Language

Development of Language Models for Continuous Uzbek Speech Recognition System

Masked Face Emotion Recognition Based on Facial Landmarks and Deep Learning Approaches for Visually Impaired People

Automatic Speech Recognition Method Based on Deep Learning Approaches for Uzbek Language

Collaborators (2)

Otabek Sattarov

Halimjon Khujamatov

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