R. Nasimov

A YOLOv6-Based Improved Fire Detection Approach for Smart City Environments

A. Abdusalomov, Y. Cho, D. Kozhamzharova, 2023, Sensors.

Deep Learning Recommendations of E-Education Based on Clustering and Sequence

A. Abdusalomov, Alpamis Kutlimuratov, Young-Im Cho, 2023, Electronics.

An Improved Forest Fire Detection Method Based on the Detectron2 Model and a Deep Learning Approach

T. Whangbo, M. Mukhiddinov, A. Abdusalomov, 2023, Sensors.

Evaluating Synthetic Medical Images Using Artificial Intelligence with the GAN Algorithm

T. Whangbo, Rashid Nasimov, A. Abdusalomov, 2023, Sensors.

Localization and Classification of Myocardial Infarction Based on Artificial Neural Network

Bakhodir Muminov, Rashid Nasimov, Sanjar Mirzahalilov, 2020, 2020 Information Communication Technologies Conference (ICTC).

Comparative Analysis of the Results of Algorithms for Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy Using Deep Learning

B. Muminov, R. Nasimov, N. Nasimova, 2021, 2021 International Conference on Information Science and Communications Technologies (ICISCT).

Advancements in Neighboring-Based Energy-Efficient Routing Protocol (NBEER) for Underwater Wireless Sensor Networks

Zhaoyun Sun, Muhammad Abbas Khan, Inam Ullah, 2023, Italian National Conference on Sensors.

Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety

A. Abdusalomov, Y. Cho, Akhmedov Farkhod, 2023, Sensors.