Rashid Nasimov

According to our database, Rashid Nasimov authored at least 16 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Correction: Yuldashev et al. Parking Lot Occupancy Detection with Improved MobileNetV3. Sensors 2023, 23, 7642.

Yusufbek Yuldashev, Mukhriddin Mukhiddinov, Akmalbek Bobomirzaevich Abdusalomov, Rashid Nasimov, Jinsoo Cho

Sensors, August, 2024

Early Poplar (Populus) Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique.

Furkat Bolikulov, Akmalbek Abdusalomov, Rashid Nasimov, Akhmedov Farkhod, Young-Im Cho

Sensors, August, 2024

Developing a Comprehensive Oil Spill Detection Model for Marine Environments.

Akhmedov Farkhod, Rashid Nasimov, Akmalbek Abdusalomov

Remote. Sens., August, 2024

ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks.

Bakht Sher Ali, Inam Ullah, Tamara Al Shloul, Izhar Ahmed Khan, Ijaz Khan, Yazeed Yasin Ghadi, Akmalbek Abdusalomov, Rashid Nasimov, Khmaies Ouahada, Habib Hamam

J. Supercomput., April, 2024

Optimizing Smart Home Intrusion Detection With Harmony-Enhanced Extra Trees.

Akmalbek Abdusalomov, Dusmurod Kilichev, Rashid Nasimov, Ilkhom Rakhmatullayev, Young Im Cho

IEEE Access, 2024

2023

Parking Lot Occupancy Detection with Improved MobileNetV3.

Yusufbek Yuldashev, Mukhriddin Mukhiddinov, Akmalbek Bobomirzaevich Abdusalomov, Rashid Nasimov, Jinsoo Cho

Sensors, September, 2023

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

Sayyed Mudassar Shah, Zhaoyun Sun, Khalid Zaman, Altaf Hussain, Inam Ullah, Yazeed Yasin Ghadi, Muhammad Abbas Khan, Rashid Nasimov

Sensors, July, 2023

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

Furkat Safarov, Akhmedov Farkhod, Akmalbek Bobomirzaevich Abdusalomov, Rashid Nasimov, Young Im Cho

Sensors, July, 2023

Evaluating Synthetic Medical Images Using Artificial Intelligence with the GAN Algorithm.

Akmalbek Bobomirzaevich Abdusalomov, Rashid Nasimov, Nigorakhon Nasimova, Bahodir Muminov, Taeg Keun Whangbo

Sensors, April, 2023

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

Saydirasulov Norkobil Saydirasulovich, Akmalbek Abdusalomov, Muhammad Kafeel Jamil, Rashid Nasimov, Dinara Kozhamzharova, Young-Im Cho

Sensors, March, 2023

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

Akmalbek Bobomirzaevich Abdusalomov, Bappy MD Siful Islam, Rashid Nasimov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo

Sensors, February, 2023

Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection.

Furkat Safarov, Mainak Basak, Rashid Nasimov, Akmalbek Abdusalomov, Young Im Cho

Future Internet, 2023

Parallel Approaches to Accelerate Deep Learning Processes Using Heterogeneous Computing.

Rashid Nasimov, Mekhriddin Rakhimov, Shakhzod Javliev, Malika Abdullaeva

Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2023

Development of Fully Synthetic Medical Database Shuffling Method.

Rashid Nasimov, Nigorakhon Nasimova, Bahodir Mumimov, Adibaxon Usmanxodjayeva, Guzal Sobirova, Akmalbek Abdusalomov

Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2023

Parallel Approaches in Deep Learning: Use Parallel Computing.

Mekhriddin Rakhimov, Shakhzod Javliev, Rashid Nasimov

Proceedings of the 7th International Conference on Future Networks and Distributed Systems, 2023

2022

Deep Learning Algorithm for Classifying Dilated Cardiomyopathy and Hypertrophic Cardiomyopathy in Transport Workers.

Rashid Nasimov, Nigorakhon Nasimova, Botirjon Karimov, Munis Abdullayev

Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2022