Novel Video Surveillance-Based Fire and Smoke Classification Using Attentional Feature Map in Capsule Networks. - Muksimova Shakhnoza; Sabina Umirzakova; Mardieva Sevara; Young-Im Cho (Sensors, 2022)

Deep Encoder-Decoder Network-Based Wildfire Segmentation Using Drone Images in Real-Time. - Muksimova Shakhnoza; Mardieva Sevara; Young-Im Cho (Remote. Sens., 2022)

Deep learning-driven diagnosis: A multi-task approach for segmenting stroke and Bell's palsy. - Sabina Umirzakova; Shabir Ahmad; Mardieva Sevara; Muksimova Shakhnoza; Taeg Keun Whangbo (Pattern Recognit., 2023)

Enhancing Medical Image Denoising with Innovative Teacher-Student Model-Based Approaches for Precision Diagnostics. - Muksimova Shakhnoza; Sabina Umirzakova; Mardieva Sevara; Young-Im Cho (Sensors, 2023)

Lightweight image super-resolution for IoT devices using deep residual feature distillation network. - Mardieva Sevara; Shabir Ahmad; Sabina Umirzakova; M. J. Aashik Rasool; Taeg Keun Whangbo (Knowl. Based Syst., 2024)

Video Captioning with Spatio-Temporal Graph Transformers. - Muksimova Shakhnoza; Sabina Umirzakova; Mardieva Sevara; Nargiza Iskhakova; Young Im Cho (CISIM, 2025)

Breaking Barriers in Fire Detection - A Lightweight Model for Forest Surveillance. - Sabina Umirzakova; Muksimova Shakhnoza; Mardieva Sevara; Jushkin Baltayev; Young Im Cho (CISIM, 2025)

A lightweight attention-driven YOLOv5m model for improved brain tumor detection. - Muksimova Shakhnoza; Sabina Umirzakova; Mardieva Sevara; Nargiza Iskhakova; Murodjon Sultanov; Young Im Cho (Comput. Biol. Medicine, 2025)

Deep learning for multiple sclerosis lesion classification and stratification using MRI. - Sabina Umirzakova; Muksimova Shakhnoza; Mardieva Sevara; Taeg Keun Whangbo (Comput. Biol. Medicine, 2025)

Iterative contextual and adaptive strategies for enhanced monocular depth estimation. - Sabina Umirzakova; Mardieva Sevara; Muksimova Shakhnoza; Jushkin Baltayev; Young Im Cho (Eng. Appl. Artif. Intell., 2025)