Zobrazeno 1 - 10
of 13
pro vyhledávání: '"David W. Wan"'
Publikováno v:
Journal of Medical Case Reports, Vol 13, Iss 1, Pp 1-6 (2019)
Abstract Background Gastrointestinal endoscopies are safe and follow guidelines that emphasize patient care. Although adverse outcomes are rare, high-risk patients may be predisposed to certain events. Case presentation We report a unique case of a C
Externí odkaz:
https://doaj.org/article/3e8991543f8f47e99f463a7c5fd57fbb
Publikováno v:
Digestive Diseases and Sciences. 68:1148-1155
Autor:
Anna Krigel, David W. Wan
Publikováno v:
Cancer prevention research (Philadelphia, Pa.). 15(7)
Stool-based tests for colorectal cancer, including fecal immunochemical testing (FIT) and multitarget stool DNA testing (mt-sDNA), are among the recommended first-line screening options for patients at average risk for colorectal cancer and offer adv
Autor:
David W. Wan
Publikováno v:
American Journal of Gastroenterology. 117:1196-1196
Publikováno v:
IEEE Access, Vol 12, Pp 126285-126295 (2024)
Severe weather is a leading cause of electric distribution network failures and customer outages. Predictive modelling of customer outages can mitigate the economic and personal impact of adverse weather but is challenging due to the diverse causes a
Externí odkaz:
https://doaj.org/article/2f32d245ccd44b90aa0c8ac8093f7c3e
Publikováno v:
IEEE Access, Vol 12, Pp 31824-31840 (2024)
This study aims to develop models for predicting hourly energy demand in the State of Connecticut, USA from 2011 to 2021 using machine learning algorithms inputted with airport weather stations’ data from the Automated Surface Observing System (ASO
Externí odkaz:
https://doaj.org/article/84da67d9fa834b3e9a82bd1d0bf74573
Autor:
Hemantha W. Wijesekera, Ewa Jarosz, David W. Wang, Conrad A. Luecke, William J. Teague, Kyung‐Il Chang, Jae Hak Lee, SungHyun Nam, Hong‐Sik Min, KyungJae Lee
Publikováno v:
Geophysical Research Letters, Vol 49, Iss 18, Pp n/a-n/a (2022)
Abstract Mixing at the southwestern boundary of the Ulleung Basin (UB) in the Japan/East Sea was examined using combined ship‐based, moored, and quasi‐autonomous observations. These observations revealed strong tidal currents, high‐frequency in
Externí odkaz:
https://doaj.org/article/21264d8d5b2048a4b7ccd05202d7a570
Autor:
Diego Cerrai, David W. Wanik, Md Abul Ehsan Bhuiyan, Xinxuan Zhang, Jaemo Yang, Maria E. B. Frediani, Emmanouil N. Anagnostou
Publikováno v:
IEEE Access, Vol 7, Pp 29639-29654 (2019)
This paper introduces new developments in an outage prediction model (OPM) for an electric distribution network in the Northeastern United States and assesses their significance to the OPM performance. The OPM uses regression tree models fed by numer
Externí odkaz:
https://doaj.org/article/1ae0567f09f14719905574667b9cb0da
Publikováno v:
American Journal of Kidney Diseases. 52:626
Publikováno v:
The Journal of Engineering (2020)
The outage prediction model (OPM) is a weather-related machine learning-based power outage model, which has been developed at the University of Connecticut for many years and has recently grown to cover three states and five utility service territori
Externí odkaz:
https://doaj.org/article/52aede51e5bd4ca18bcd7e8a33da780d