Rule Based Metadata Extraction Framework from Academic Articles. - Jahongir Azimjonov; Jumabek Alikhanov (CoRR, 2018)

A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways. - Jahongir Azimjonov; Ahmet Özmen (Adv. Eng. Informatics, 2021)

Toward lightweight intrusion detection systems using the optimal and efficient feature pairs of the Bot-IoT 2018 dataset. - Erman Özer; Murat Iskefiyeli; Jahongir Azimjonov (Int. J. Distributed Sens. Networks, 2021)

Kavşak ve karayollar için gerçek zamanlı görü tabanlı trafik akış bilgisi hesaplama sistemlerinin geliştirilmesi (Development of real-time vision based traffic flow information estimation systems for intersection and highways) - Jahongir Azimjonov (2021)

Vision-based vehicle tracking on highway traffic using bounding-box features to extract statistical information. - Jahongir Azimjonov; Ahmet Özmen (Comput. Electr. Eng., 2022)

Automated prostate cancer grading and diagnosis system using deep learning-based Yolo object detection algorithm. - Mehmet Emin Salman; Gözde Çakirsoy Çakar; Jahongir Azimjonov; Mustafa Kösem; Ismail Hakki Cedimoglu (Expert Syst. Appl., 2022)

Enhancing Prostate Cancer Classification by Leveraging Key Radiomics Features and Using the Fine-Tuned Linear SVM Algorithm. - Metin Varan; Jahongir Azimjonov; Bilgen Maçal (IEEE Access, 2023)

A vision-based real-time traffic flow monitoring system for road intersections. - Jahongir Azimjonov; Ahmet Özmen; Metin Varan (Multim. Tools Appl., 2023)

A nighttime highway traffic flow monitoring system using vision-based vehicle detection and tracking. - Jahongir Azimjonov; Ahmet Özmen; Taehong Kim (Soft Comput., 2023)

Designing accurate lightweight intrusion detection systems for IoT networks using fine-tuned linear SVM and feature selectors. - Jahongir Azimjonov; Taehong Kim (Comput. Secur., 2024)

Stochastic gradient descent classifier-based lightweight intrusion detection systems using the efficient feature subsets of datasets. - Jahongir Azimjonov; Taehong Kim (Expert Syst. Appl., 2024)

A Comprehensive Empirical Analysis of Data Sets, Regression-Based Feature Selectors, and Linear SVM Classifiers for Intrusion Detection Systems. - Jahongir Azimjonov; Taehong Kim (IEEE Internet Things J., 2024)

Optimizing Artificial Intelligence-aided breast cancer models: An empirical analysis of binary classifiers and regression-based feature selectors. - Fakhriddin Madolimov; Asilbek Medatov; Elmira Nazirova; Hakimjon Zaynidinov; Azimov Uktam Fakhriddinovich; Shakhnoza Turakhonova; Jahongir Azimjonov (Eng. Appl. Artif. Intell., 2025)