Enhancing Medical Image Denoising with Innovative Teacher–Student Model-Based Approaches for Precision Diagnostics

Autor: Shakhnoza Muksimova, Sabina Umirzakova, Sevara Mardieva, Young-Im Cho

Publikováno v: Sensors, Vol 23, Iss 23, p 9502 (2023)

The realm of medical imaging is a critical frontier in precision diagnostics, where the clarity of the image is paramount. Despite advancements in imaging technology, noise remains a pervasive challenge that can obscure crucial details and impede acc

Externí odkaz: https://doaj.org/article/c67ff60bdb3c48b18bd4d43c34dc6335

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

Autor: Shakhnoza Muksimova, Sevara Mardieva, Young-Im Cho

Publikováno v: Remote Sensing, Vol 14, Iss 24, p 6302 (2022)

Wildfire is a hazardous natural phenomenon that leads to significant human fatalities, catastrophic environmental damages, and economic losses. Over the past few years, the intensity and frequency of fires have increased worldwide. Studies have been

Externí odkaz: https://doaj.org/article/5e8702203e87412fb8de1ca951d6d9e3

Novel Video Surveillance-Based Fire and Smoke Classification Using Attentional Feature Map in Capsule Networks.

Autor: Shakhnoza M; Department of IT Convergence Engineering, Gachon University, Sujeong-gu, Seongnam-si 461-701, Gyeonggi-do, Korea., Sabina U; Department of IT Convergence Engineering, Gachon University, Sujeong-gu, Seongnam-si 461-701, Gyeonggi-do, Korea., Sevara M; Department Information Security, Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent, Tashkent 100200, Uzbekistan., Cho YI; Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam-si 461-701, Gyeonggi-do, Korea.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Dec 24; Vol. 22 (1). Date of Electronic Publication: 2021 Dec 24.