ZOHIROV QUDRATJON RAFIQOVICH Tasdiqlangan

YOLOv9-Based Detection of Diseases in Poplar Trees Using Histogram Equalization and Computer Vision DOI: 10.3390/s26113320

An RL-Enhanced Multi-Agent Framework for Scalable and Intelligent Business Intelligence Systems DOI: 10.3390/info17030252

High-resolution segmentation of brain tumors based on MRI images using a hybrid deep learning approach DOI: 10.1016/j.bspc.2026.110471

Feature Engineering Approach for sEMG Signal Classification in Combat Sport Athletes: A Comparative Study of Machine Learning Algorithms DOI: 10.3390/app16083873

Generative AI for Efficient and Secure Authentication in UAV-Enabled Smart City Transportation Systems DOI: 10.32604/cmc.2026.081292

Cooperative UAV swarms for zero knowledge verification of edge generative AI using trust-aware multiagent learning DOI: 10.1038/s41598-026-58011-1

A Hybrid Algorithm for Constructing an Optimized Set of Informative Features DOI: 10.1145/3789692.3789790

Generative AI use, self-regulation, and Neuro-AI Pedagogical competence in higher education: a comparative study of undergraduate and graduate students in Uzbekistan DOI: 10.3389/feduc.2026.1846709

Context-Aware Identity Validation for UAV-Assisted Urban Mobility and Traffic Monitoring Environments DOI: 10.32604/cmc.2026.083828

Human Pose Estimation and Skeleton-Based Action Recognition: A Systematic Review of 2D/3D Deep Learning Approaches DOI: 10.1109/wccct69960.2026.11549659

An NLP-Based Neuro-Semantic Clinical Filter for Medical Text Simplification DOI: 10.32604/cmc.2026.079237

Fusion of MLP, XGBoost, and QAT-Optimized PointNet++ for Predicting Short-Term Dendrometer-Derived Stem Dynamics: An Edge-Oriented Computational Framework DOI: 10.3390/s26175577

An Intelligent Wearable EMG Sensing Framework for Athlete Neuromuscular Monitoring and Performance Progression Assessment

Dilnoza Zaripova1, Kudratjon Zohirov2, Nasibakhon Rasulova1, Umidjon Khayitov3, Dildora Saidova4, Zavqiddin Temirov5 and Rashid Nasimov6

EMG-Based Recognition of Lower Limb Movements in Athletes: A Comparative Study of Classification Techniques DOI: 10.3390/signals6030045

Electromyography-Based Sign Language Recognition: A Low-Channel Approach for Classifying Fruit Name Gestures DOI: 10.3390/signals6040050

An EMG Signal Based Approach for Assessing the Physical Condition of Athletes in Wrestling DOI: 10.1145/3726122.3726207

From Pixels to Precision—A Dual-Stream Deep Network for Pathological Nuclei Segmentation DOI: 10.3390/bioengineering12080868

IMO-ISHORA TILINI TANIB OLISH: USULLAR VA MODELLAR TAHLILI OAK

INSONNING MUVOZANAT HOLATINI O ‘LCHASH UCHUN ROMBERG TESTINI KO ‘RIB CHIQISH OAK

Ma'lumotlarning intellektual tahlili

Kurashchilarning jismoniy holatini monitoring qiluvchi PCW_EMG dasturi

ANALYTICAL REVIEW OF METHODS FOR RECORDING AND CLASSIFYING MOVEMENTS BASED ON ELECTROMYOGRAPHY

SPORT BIOMEXANIKASIDA MA’LUMOTLARNI RAQAMLI QAYTA ISHLASH USULLARI

Lightweight Super-Resolution Techniques in Medical Imaging: Bridging Quality and Computational Efficiency Top 10% Iqtibos DOI: 10.3390/bioengineering11121179

Ways to develop coordination skills in kurash

Kinematic and Kinetic Analysis to Improve the Overall Fitness of Wrestlers DOI: 10.1109/ictacs62700.2024.10840561

Using the TUG Test in Implementing Gait Analysis of Different Types of Wrestlers DOI: 10.1109/ictacs62700.2024.10841194

HARAKAT TAHLILING KINEMATIK ASOSLARI

Biosignallarni qayta ishlash va tasniflash usullari tahlili

Automatic classification of fragile subjects using sEMG signals recorded with REMO®

Sport biomexanikasida ishlatiluvchi portativ o ‘lchov qurilmalari va ularning tahlili

Biosignallarni qayd qilishda yangicha yondashuv

INSON KINEMATIKASINING SOHALARDA QO’LLANILISHI

A New Approach to Determining the Active Potential Limit of an Electromyography Signal DOI: 10.1109/ictacs59847.2023.10390283

ЭЛЕКТРОМИОГРАФИЯ СИГНАЛИНИНГ ФАОЛ ПОТЕНЦИАЛ ЧЕГАРАСИНИ АНИҚЛАШДА ЯНГИЧА ЁНДАШУВ

БИОСИГНАЛЛАР АСОСИДА ИНСОН ҲАРАКАТИНИ ТАҲЛИЛ ҚИЛИШДА ФОЙДАЛАНИЛАДИГАН ҚУРИЛМАЛАР

CALL-ЦЕНТР ФАОЛИЯТИНИНГ АНАЛИТИК ТАҲЛИЛИ

IOT АСОСИДА ТИББИЙ МАЪЛУМОТЛАРГА ИШЛОВ БЕРИШДА ҚЎЛЛАНИЛАДИГАН УСУЛЛАР

Classification Of Some Sensitive Motion Of Fingers To Create Modern Biointerface Top 10% Iqtibos DOI: 10.1109/icisct55600.2022.10146846

Analysis and Implementation of Course Quality Optimization based on Cloud Computing Top 10% Iqtibos DOI: 10.1109/icisct52966.2021.9670025

Comparative Analysis of the Results of EMG Signal Classification Based on Machine Learning Algorithms Top 10% Iqtibos DOI: 10.1109/icisct52966.2021.9670108

Elektromiografiya signali asosida qo'l harakatlarini tanish jarayoni va usullarining tahlili

Defining the Features of EMG Signals on the Forearm of the Hand Using SVM, RF, k-NN Classification Algorithms Top 10% Iqtibos DOI: 10.1109/ictc49638.2020.9123287

Using different features of signal in EMG signal classification Top 10% Iqtibos DOI: 10.1109/icisct50599.2020.9351392

A new dataset for the detection of hand movements based on the SEMG signal Top 10% Iqtibos DOI: 10.1109/aict50176.2020.9368735

Замонавий биоинтерфейс яратиш учун бармоқларнинг баъзи Нозик ҳаракатларини таснифлаш OAK

Implantation of information technologies in rehabilitation

Statistical analyzing incoming phone calls at the call-centre

The intellectual analysis of the state of cognitive and physical development of children on modern biotechnological equipment

HYDRAULIC PARAMETERS OF THE VEINSING FLOW IN HYDRO TRANSPORT. OAK

Call-sentrlarning rivojlanish bosqichlari‖–―Fan, ta ‘lim va ishlab chiqarish integratsiyasini axborot telekommunikatsiya tehnologiyalari asosida rivojlantirish istiqbollari … OAK

МЕТОДЫ И ВАРИАНТЫ УВЕЛИЧЕНИЯ КАЧЕСТВА ЦИФРОВЫХ ИЗОБРАЖЕНИЙ В ПРОГРАММНОЙ СРЕДЕ MATLAB

Call-sentrlarning rivojlanish bosqichlari

Метод поиска обЪекта в изображении, его образ

Separation of active zones of electromyographic signals. 9th Advanced Engineering Days (AED)–9-10 July 2024–Tabriz

Ro‗ ziboyev, F.(2025)

Analysis of architecture and functioning model web contact-centres

MirzaxalilovS. bioengineering 11 01179 Lightweight Super Resolution Techniques

Lightweight Point Cloud-Based 3D Tree Classification and Part-Segmentation Using PointNet++ with QAT

Yolov9-Based detection of leaf diseases in Poplar trees using Histogram Equalization and Computer Vision

& Madatov, K.(2025)

Meyliyeva Sh. Inson harakatlarini kinematik va kinetik tahlil qilish.“Raqamli texnologiyalarning iqtisodiyot va ta’limdagi o ‘rni” mavzusidagi xalqaro ilmiy-amaliy anjumani ma …

VI SHО ‘’BА. HUDUDLАRDА RАQАMLI TIBBIYOTNI JORIY ETISHNING MUАMMOLАRI VА YECHIMLАRI ҚЎЛ ҲАРАКАТЛАРИНИ ТАСНИФЛАШ ДАСТУРИЙ-АППАРАТ МАЖМУАСИ

2020 Information Communication Technologies Conference (ICTC 2020)