Zobrazeno 1 - 10
of 2 847
pro vyhledávání: '"Jun Oh"'
As multiple and heterogenous unmanned vehicle systems continue to play an increasingly important role in addressing complex missions in the real world, the need for effective cooperation among unmanned vehicles becomes paramount. The concept of auton
Externí odkaz:
http://arxiv.org/abs/2405.09193
Autor:
Soobin Cha, Gi-Wook Lee, Jun-Oh Shin, Dongyoung Roh, Kihyuk Shin, Hoon-Soo Kim, Hyun-Chang Ko, Byungs-Soo Kim, Moon-Bum Kim, Jungsoo Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The utility of dermoscopy for the diagnosis of cutaneous warts is well known. However, its role in predicting the outcome of cryotherapy for cutaneous warts remains unexplored. To identify dermoscopic features predicting treatment responses
Externí odkaz:
https://doaj.org/article/2326b61ead524db8911f9b899963947f
Autor:
Hyeon-Jeong Kang, Changseop Kim, Seungmin Chae, Gi Seong Kim, Woohyun Jeon, Jonghyuk Yi, Seung Jun Oh, Yeonsang Park
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Dryness in cement-based mixture can be systematically analyzed using hyperspectral imaging and dimensionality reduction techniques. In this study, we captured the spectral images of cement-water mixture in the near-infrared range and obtaine
Externí odkaz:
https://doaj.org/article/0df1e358ce2e40d3ad5a9dc3eb2b888d
Autor:
Yong-il Kim, Dong Yun Lee, Changhwan Sung, Sang Ju Lee, Seung Jun Oh, Jungsu S. Oh, Shinkyo Yoon, Jae Lyun Lee, Bumjin Lim, Jungyo Suh, Juhyun Park, Dalsan You, In Gab Jeong, Jun Hyuk Hong, Hanjong Ahn, Choung-Soo Kim, Jin-Sook Ryu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Digital positron emission tomography/computed tomography (PET/CT) has shown enhanced sensitivity and spatial resolution compared with analog PET/CT. The present study compared the diagnostic performance of digital and analog PET/CT with [68G
Externí odkaz:
https://doaj.org/article/b1430e5c1d514fb88b8d5b741eabed68
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Von Neumann architecture-based computing, while widely successful in personal computers and embedded systems, faces inherent challenges including the von Neumann bottleneck, particularly amidst the ongoing surge of data-intensive tasks. Neur
Externí odkaz:
https://doaj.org/article/e38371189b1d49d2a9ef42057fb72583
Publikováno v:
The Korean Journal of Internal Medicine, Vol 39, Iss 2, Pp 261-271 (2024)
Background/Aims Mucoprotective agents, such as eupatilin, are often prescribed to prevent gastrointestinal (GI) bleeding in addition to an acid suppressant despite the absence of a large-scale study. We evaluated the additional effect of eupatilin on
Externí odkaz:
https://doaj.org/article/42307c76871f4d06bd5b57dd31abe529
Publikováno v:
The Korean Journal of Internal Medicine, Vol 39, Iss 2, Pp 228-237 (2024)
Background/Aims Long-term use of acid suppressants such as proton pump inhibitors (PPIs) and histamine 2 receptor antagonist (H2RA) has been associated with the risk of osteoporotic fracture. Acid suppressants and muco-protective agents (MPAs) are of
Externí odkaz:
https://doaj.org/article/7da32cdd5178421e88bd31bff6e5624c
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Objectives Poorly visualized images that appear during small bowel capsule endoscopy (SBCE) can confuse the interpretation of small bowel lesions and increase the physician’s workload. Using a validated artificial intelligence (AI) algorit
Externí odkaz:
https://doaj.org/article/d5c38b79905b413395029fdc73af94d6
Autor:
Sung-Jae Lee, Hyun Jun Oh, Young-Don Son, Jong-Hoon Kim, Ik-Jae Kwon, Bongju Kim, Jong-Ho Lee, Hang-Keun Kim
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Oral potentially malignant disorders (OPMDs) are associated with an increased risk of cancer of the oral cavity including the tongue. The early detection of oral cavity cancers and OPMDs is critical for reducing cancer-specific mo
Externí odkaz:
https://doaj.org/article/0bdbd723717346909ca5061048aa7100
Publikováno v:
ICT Express, Vol 10, Iss 1, Pp 22-27 (2024)
We herein propose a low-approximated least-squares method for underwater drone localization that does not require depth information. On the basis of error analysis, we propose a rule to deploy a set of surface drones that minimizes the impact of meas
Externí odkaz:
https://doaj.org/article/79fe4efe186f4e2ba4d1397f803f50c1