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ORCIDSabina Umirzakova
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2020 – today
- 2025
[j13]Muksimova Shakhnoza
, Sabina Umirzakova, Mardieva Sevara, Nargiza Iskhakova, Murodjon Sultanov, Young Im Cho:
A lightweight attention-driven YOLOv5m model for improved brain tumor detection. Comput. Biol. Medicine 188: 109893 (2025)- [j12]Muksimova Shakhnoza, Sabina Umirzakova, Nargiza Iskhakova, Azizbek Khaitov, Young Im Cho:
Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI. Comput. Biol. Medicine 190: 110095 (2025) - [j11]Sabina Umirzakova, Muksimova Shakhnoza, Mardieva Sevara, Taeg Keun Whangbo:
Deep learning for multiple sclerosis lesion classification and stratification using MRI. Comput. Biol. Medicine 192: 110078 (2025) - [j10]Sabina Umirzakova, Mardieva Sevara, Muksimova Shakhnoza, Jushkin Baltayev, Young Im Cho:
Iterative contextual and adaptive strategies for enhanced monocular depth estimation. Eng. Appl. Artif. Intell. 160: 111898 (2025) - [c4]Muksimova Shakhnoza, Sabina Umirzakova, Mardieva Sevara, Nargiza Iskhakova, Young Im Cho:
Video Captioning with Spatio-Temporal Graph Transformers. CISIM 2025: 194-207 - [c3]Sabina Umirzakova, Muksimova Shakhnoza, Mardieva Sevara, Jushkin Baltayev, Young Im Cho:
Breaking Barriers in Fire Detection - A Lightweight Model for Forest Surveillance. CISIM 2025: 223-232 - 2024
- [j9]M. J. Aashik Rasool, Shabir Ahmad, Sabina Umirzakova, Taeg Keun Whangbo:
KONet: Toward a Weighted Ensemble Learning Model for Knee Osteoporosis Classification. IEEE Access 12: 5731-5742 (2024) - [j8]Sabina Umirzakova, Shabir Ahmad, Latif U. Khan, Taeg Keun Whangbo:
Medical image super-resolution for smart healthcare applications: A comprehensive survey. Inf. Fusion 103: 102075 (2024) - [j7]Mardieva Sevara, Shabir Ahmad, Sabina Umirzakova, M. J. Aashik Rasool, Taeg Keun Whangbo:
Lightweight image super-resolution for IoT devices using deep residual feature distillation network. Knowl. Based Syst. 285: 111343 (2024) - [j6]Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Mukhriddin Mukhiddinov, Azamat Kakhorov, Abror Buriboev, Heung Seok Jeon:
Drone-Based Wildfire Detection with Multi-Sensor Integration. Remote. Sens. 16(24): 4651 (2024) - 2023
- [j5]Sabina Umirzakova, Shabir Ahmad, Mardieva Sevara, Muksimova Shakhnoza, Taeg Keun Whangbo:
Deep learning-driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy. Pattern Recognit. 144: 109866 (2023) - [j4]Muksimova Shakhnoza, Sabina Umirzakova, Mardieva Sevara, Young-Im Cho:
Enhancing Medical Image Denoising with Innovative Teacher-Student Model-Based Approaches for Precision Diagnostics. Sensors 23(23): 9502 (2023) - [i1]Shabir Ahmad, Sabina Umirzakova, Ghulam Mujtaba, Muhammad Sadiq Amin, Taeg Keun Whangbo:
Education 5.0: Requirements, Enabling Technologies, and Future Directions. CoRR abs/2307.15846 (2023) - 2022
- [j3]Shabir Ahmad, Sabina Umirzakova, Faisal Jamil, Taeg Keun Whangbo:
Internet-of-things-enabled serious games: A comprehensive survey. Future Gener. Comput. Syst. 136: 67-83 (2022) - [j2]Sabina Umirzakova, Taeg Keun Whangbo:
Detailed feature extraction network-based fine-grained face segmentation. Knowl. Based Syst. 250: 109036 (2022) - [j1]Muksimova Shakhnoza, Sabina Umirzakova, Mardieva Sevara, Young-Im Cho:
Novel Video Surveillance-Based Fire and Smoke Classification Using Attentional Feature Map in Capsule Networks. Sensors 22(1): 98 (2022) - 2021
- [c2]Sabina Umirzakova, Taeg Keun Whangbo:
Nasolabial Wrinkle Segmentation Based on Nested Convolutional Neural Network. ICTC 2021: 483-485
2010 – 2019
- 2018
- [c1]Sabina Umirzakova, Taeg Keun Whangbo:
Study on Detect Stroke Symptoms Using Face Features. ICTC 2018: 429-431
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