Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Hyoseok Hwang"'
Publikováno v:
IEEE Access, Vol 12, Pp 80770-80780 (2024)
The susceptibility of deep neural networks (DNNs) to adversarial examples has prompted an increase in the deployment of adversarial attacks. Image-agnostic universal adversarial perturbations (UAPs) are much more threatening, but many limitations exi
Externí odkaz:
https://doaj.org/article/6d44444686fe49619c299c24d64d7b46
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2054 (2024)
Fisheye cameras play a crucial role in various fields by offering a wide field of view, enabling the capture of expansive areas within a single frame. Nonetheless, the radial distortion characteristics of fisheye lenses lead to notable shape deformat
Externí odkaz:
https://doaj.org/article/52b3cb2edff64048b1243fa263e0d2b9
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5185 (2023)
In this paper, we introduce Sonar image Augmentation with Cut and Paste based DataBank for semantic segmentation (SACuP), a novel data augmentation framework specifically designed for sonar imagery. Unlike traditional methods that often overlook the
Externí odkaz:
https://doaj.org/article/e8e53fb53ff74d4aa843647baa1d1668
Real-Time Automated Solubility Screening Method Using Deep Neural Networks with Handcrafted Features
Publikováno v:
Sensors, Vol 23, Iss 12, p 5525 (2023)
Solubility measurements are essential in various research and industrial fields. With the automation of processes, the importance of automatic and real-time solubility measurements has increased. Although end-to-end learning methods are commonly used
Externí odkaz:
https://doaj.org/article/cf5634c27f634df78be4fd34decf448d
Autor:
Jihu Kim, Hyoseok Hwang
Publikováno v:
IEEE Access, Vol 8, Pp 81022-81033 (2020)
Table detection is an essential part of a document analysis because tables are among the most efficient methods for systematically summarizing information. Therefore, numerous studies on detecting tables not only from documents but also from websites
Externí odkaz:
https://doaj.org/article/181c4c4bad434c2688c0022b6c6f04b2
Autor:
Younhyun Jung, Suhyeon Kim, Jihu Kim, Byunghoon Hwang, Sungmin Lee, Eun Young Kim, Jeong Ho Kim, Hyoseok Hwang
Publikováno v:
Sensors, Vol 23, Iss 1, p 175 (2022)
Abdominal aortic aneurysm (AAA) is a fatal clinical condition with high mortality. Computed tomography angiography (CTA) imaging is the preferred minimally invasive modality for the long-term postoperative observation of AAA. Accurate segmentation of
Externí odkaz:
https://doaj.org/article/a6ce7f5ea6a34ae3a4488a1b7da1c45d
Autor:
Byunghoon Hwang, Jihu Kim, Sungmin Lee, Eunyoung Kim, Jeongho Kim, Younhyun Jung, Hyoseok Hwang
Publikováno v:
Sensors, Vol 22, Iss 10, p 3643 (2022)
The detection and segmentation of thrombi are essential for monitoring the disease progression of abdominal aortic aneurysms (AAAs) and for patient care and management. As they have inherent capabilities to learn complex features, deep convolutional
Externí odkaz:
https://doaj.org/article/f8125da43d2749de8b1456be97786daa
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4288 (2022)
Recent advances in autostereoscopic three-dimensional (3D) display systems have led to innovations in consumer electronics and vehicle systems (e.g., head-up displays). However, medical images with stereoscopic depth provided by 3D displays have yet
Externí odkaz:
https://doaj.org/article/2c117c9e3d784e10acf1a8aab2e0166f
Autor:
Jungchan Cho, Hyoseok Hwang
Publikováno v:
Sensors, Vol 20, Iss 12, p 3491 (2020)
Emotion recognition plays an important role in the field of human–computer interaction (HCI). An electroencephalogram (EEG) is widely used to estimate human emotion owing to its convenience and mobility. Deep neural network (DNN) approaches using a
Externí odkaz:
https://doaj.org/article/338e55e142c94b0a8ce3dc60a0fcf387
Autor:
Hyoseok Hwang, Jihu Kim
Publikováno v:
IEEE Access, Vol 8, Pp 81022-81033 (2020)
Table detection is an essential part of a document analysis because tables are among the most efficient methods for systematically summarizing information. Therefore, numerous studies on detecting tables not only from documents but also from websites
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95af97c6e4c62b1e9b2db365558d9834
https://ieeexplore.ieee.org/document/9079835/
https://ieeexplore.ieee.org/document/9079835/