Mardieva Sevara

According to our database, Mardieva Sevara authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

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

Deep learning for multiple sclerosis lesion classification and stratification using MRI.

Sabina Umirzakova, Muksimova Shakhnoza, Mardieva Sevara, Taeg Keun Whangbo

Comput. Biol. Medicine, 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

Breaking Barriers in Fire Detection - A Lightweight Model for Forest Surveillance.

Sabina Umirzakova, Muksimova Shakhnoza, Mardieva Sevara, Jushkin Baltayev, Young Im Cho

Proceedings of the Computer Information Systems and Industrial Management, 2025

Video Captioning with Spatio-Temporal Graph Transformers.

Muksimova Shakhnoza, Sabina Umirzakova, Mardieva Sevara, Nargiza Iskhakova, Young Im Cho

Proceedings of the Computer Information Systems and Industrial Management, 2025

2024

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

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, December, 2023

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., December, 2023

2022

Deep Encoder-Decoder Network-Based Wildfire Segmentation Using Drone Images in Real-Time.

Muksimova Shakhnoza, Mardieva Sevara, Young-Im Cho

Remote. Sens., December, 2022

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