Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Yong Ju Jung"'
Publikováno v:
Knowledge Management & E-Learning: An International Journal, Vol 16, Iss 2, Pp 259-285 (2024)
COVID-19 is an unprecedented pandemic that has impacted the whole world. The pandemic made researchers and educators realize the critical need to prepare for future disasters. This study explored a context-specific case for elementary online learning
Externí odkaz:
https://doaj.org/article/bc7e31dbd3df46d8aee9c95e1a1c8f67
Autor:
Rafiatul Zannah, Mubtasim Bashar, Rahil Bin Mushfiq, Amitabha Chakrabarty, Shahriar Hossain, Yong Ju Jung
Publikováno v:
IEEE Access, Vol 12, Pp 44598-44612 (2024)
The field of medical image analysis is in a constant state of evolution, particularly in the challenging tasks of segmenting organs, diseases, and abnormalities. Therefore, in the realm of dental disease diagnosis, image segmentation plays a crucial
Externí odkaz:
https://doaj.org/article/b50f6100190643328bcb50a687848e40
Publikováno v:
IEEE Access, Vol 11, Pp 50431-50446 (2023)
Automatic modulation classification (AMC) aims to automatically identify the modulation type of a detected signal in an intelligent wireless receiver, such as software-defined radio (SDR). Recently, deep learning-based methods such as convolutional n
Externí odkaz:
https://doaj.org/article/fbf4f04b731a4ec98557b4e3260b3515
Publikováno v:
Sensors, Vol 23, Iss 7, p 3751 (2023)
Tomato leaf diseases can incur significant financial damage by having adverse impacts on crops and, consequently, they are a major concern for tomato growers all over the world. The diseases may come in a variety of forms, caused by environmental str
Externí odkaz:
https://doaj.org/article/079952a37bb34bfeab6e08b198da3572
Autor:
Jeongmin Kim, Yong Ju Jung
Publikováno v:
Sensors, Vol 23, Iss 6, p 2880 (2023)
Video deblurring aims at removing the motion blur caused by the movement of objects or camera shake. Traditional video deblurring methods have mainly focused on frame-based deblurring, which takes only blurry frames as the input to produce sharp fram
Externí odkaz:
https://doaj.org/article/9dd527f9f892430d98a6eb0751d5b796
Publikováno v:
Sensors, Vol 22, Iss 18, p 7044 (2022)
High-dynamic-range (HDR) image reconstruction methods are designed to fuse multiple Low-dynamic-range (LDR) images captured with different exposure values into a single HDR image. Recent CNN-based methods mostly perform local attention- or alignment-
Externí odkaz:
https://doaj.org/article/d085c1d36eab4125a3b2d8db8201d8be
Autor:
Subin Lee, Yong Ju Jung
Publikováno v:
Sensors, Vol 22, Iss 19, p 7419 (2022)
Hint-based image colorization is an image-to-image translation task that aims at creating a full-color image from an input luminance image when a small set of color values for some pixels are given as hints. Though traditional deep-learning-based met
Externí odkaz:
https://doaj.org/article/1629cdc0dc844ca5ab081a6e2f6356c2
Autor:
S. M. Nadim Uddin, Yong Ju Jung
Publikováno v:
Sensors, Vol 20, Iss 11, p 3204 (2020)
Deep-learning-based image inpainting methods have shown significant promise in both rectangular and irregular holes. However, the inpainting of irregular holes presents numerous challenges owing to uncertainties in their shapes and locations. When de
Externí odkaz:
https://doaj.org/article/3af9ebc7f42b4643b0324af9998042bc
Autor:
Hae Woong Jang, Yong Ju Jung
Publikováno v:
Sensors, Vol 20, Iss 9, p 2743 (2020)
A few approaches have studied image fusion using color-plus-mono dual cameras to improve the image quality in low-light shooting. Among them, the color transfer approach, which transfers the color information of a color image to a mono image, is cons
Externí odkaz:
https://doaj.org/article/b3a9d7be01994f22bcea3ff1d61e479b
Publikováno v:
Applied Sciences, Vol 9, Iss 16, p 3384 (2019)
Three hundred and sixty degree video is becoming more and more popular on the Internet. By using a Head-Mounted Display, 360-degree video can render a Virtual Reality (VR) environment. However, it is still a big challenge to understand Quality of Exp
Externí odkaz:
https://doaj.org/article/9caf577c700b4827aff92c40969dc491