Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Hongseok Ki"'
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-19 (2024)
Abstract The energy devices for generation, conversion, and storage of electricity are widely used across diverse aspects of human life and various industry. Three-dimensional (3D) printing has emerged as a promising technology for the fabrication of
Externí odkaz:
https://doaj.org/article/c5778de37ecc4db7ac881d3ea16230c2
Publikováno v:
IEEE Access, Vol 12, Pp 62502-62510 (2024)
Solar power is an important renewable energy resource that plays a pivotal role in replacing fossil fuel generators and lowering carbon emissions. Since sunlight, which is highly dependent on meteorological factors, is highly volatile, the difficulty
Externí odkaz:
https://doaj.org/article/c9e947d218a94d19a24d3b710af085d2
Publikováno v:
Korean Journal of Family Practice. 7:507-512
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::030a000fdd5b4a92919ae78a0897ff6d
https://doi.org/10.21215/kjfp.2017.7.4.507
https://doi.org/10.21215/kjfp.2017.7.4.507
Publikováno v:
IEEE Access, Vol 11, Pp 30609-30618 (2023)
Collaborative filtering (CF) is a widely used technique in recommender systems by automatically predicting the user’s latent interests based on many users’ historical rating data. To improve the performance of the CF-based recommender systems, us
Externí odkaz:
https://doaj.org/article/6d177bf4f4e947d7815908e6d02ee39e
Publikováno v:
Korean Journal of Family Medicine
Background Friedewald equation is the most widely used method for estimating low-density lipoprotein cholesterol (LDL-C) level. However, due to potential over- or underestimation, many studies have used a modified equation. This study aimed to compar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71d65ab310a4abce40091382e754f98d
https://pubmed.ncbi.nlm.nih.gov/29026486
https://pubmed.ncbi.nlm.nih.gov/29026486
Publikováno v:
BMC Anesthesiology, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background Spinal anesthesia and autonomic neuropathy (caused by diabetes) prolong the QTc interval. Changes in the duration of the QTc interval following subarachnoid blockade in patients with diabetes have not been evaluated. We hypothesiz
Externí odkaz:
https://doaj.org/article/1fb026f579714286a4778c8ba23cfcc4
Publikováno v:
Energies, Vol 16, Iss 14, p 5293 (2023)
Machine learning-based time-series forecasting has recently been intensively studied. Deep learning (DL), specifically deep neural networks (DNN) and long short-term memory (LSTM), are the popular approaches for this purpose. However, these methods h
Externí odkaz:
https://doaj.org/article/62333dc0570b4ac2a4338abeb23385d4
Publikováno v:
Korean Journal of Anesthesiology, Vol 74, Iss 4, Pp 317-324 (2021)
Background Intravenous (IV) dexamethasone prolongs the duration of a peripheral nerve block; however, there is little available information about its optimal effective dose. This study aimed to evaluate the effects of three different doses of IV dexa
Externí odkaz:
https://doaj.org/article/24228bf3600c4eacb0e41c2b39c0233c
Publikováno v:
IEEE Access, Vol 8, Pp 20786-20798 (2020)
Remaining useful life (RUL) prediction of lithium-ion batteries can reduce the risk of battery failure by predicting the end of life. In this paper, we propose novel RUL prediction techniques based on long short-term memory (LSTM). To estimate RUL ev
Externí odkaz:
https://doaj.org/article/cd54db08e27a483eabcca10dd1ba39e1
Publikováno v:
IEEE Access, Vol 8, Pp 40656-40666 (2020)
Electric load data are essential for data-driven approaches (including deep learning) in smart grid, and advanced smart meter technologies provide fine-grained data with reliable communications. Despite the recent development of smart metering device
Externí odkaz:
https://doaj.org/article/2e33214e2cb542faab7b99fd0843b0d1