Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Trung Kien Dang"'
Autor:
Anh Tuan PHAM, Truc Le NGUYEN, Xuan Trong HOANG, Hoang Phuong TRINH, Thi Van Anh LE, Van Anh VU, Trung Kien DANG, The Kien NGUYEN
Publikováno v:
Geo Journal of Tourism and Geosites, Vol 36, Iss 2spl, Pp 563-570 (2021)
Nowadays, employee behavior that has emerged as one of the most crucial factors that determine the success of organizations in general, and in tourism industry in particular. Previous researchers indicated that it is necessary to shed light on the me
Externí odkaz:
https://doaj.org/article/f9e5e48773f94540b9a79ad5c164c28f
Publikováno v:
Electronic Journal of Applied Statistical Analysis. 2024, Vol. 17 Issue 1, p69-88. 20p.
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 13:1-17
In data-driven medical research, multi-center studies have long been preferred over single-center ones due to a single institute sometimes not having enough data to obtain sufficient statistical power for certain hypothesis testings as well as predic
Publikováno v:
Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022, Volume 2 ISBN: 9789819904891
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4937ec755c2fa50ea13cc154407f23da
https://doi.org/10.1007/978-981-99-0490-7_40
https://doi.org/10.1007/978-981-99-0490-7_40
Autor:
Young Seok Jeon, Mengling Feng, Selva Muthu Kumaran Sathappan, Trung Kien Dang, Yi-Ming Shao, Su Chi Lim, E Shyong Tai
Publikováno v:
Applied Clinical Informatics
Background Diabetes mellitus (DM) is an important public health concern in Singapore and places a massive burden on health care spending. Tackling chronic diseases such as DM requires innovative strategies to integrate patients' data from diverse sou
Autor:
Tsee Foong Loh, Eugene Montanez, Yee Hui Mok, Mohamed Shirhan Bin Mohamed Atan, Shu-Ling Chong, Trung Kien Dang, Jan Hau Lee, Mengling Feng
Publikováno v:
Pediatric Pulmonology. 55:3126-3133
Objective We aimed to investigate whether early tracheal intubation (TI) is associated with a reduced risk of mortality and increased ventilator-free days (VFD). Methods We performed a retrospective cohort study of children 0 to 18 years old in a ped
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030630751
Federated Learning
Federated Learning
In-hospital mortality prediction is a crucial task in the clinical settings. Nevertheless, individual hospitals alone often have limited amount of local data to build a robust model. Usually domain transfer of an in-hospital mortality prediction mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e2e19ab7b912fb175e84d9c48aeeb2d
https://doi.org/10.1007/978-3-030-63076-8_18
https://doi.org/10.1007/978-3-030-63076-8_18
Autor:
Kolja Glogowski, W. T. Barnes, Sophie A. Murray, Stuart Mumford, James Mason, Trung Kien Dang, Sudarshan Konge, David Pérez-Suárez, Asish Panda, N. Freij, Tiago M. D. Pereira, Albert Y. Shih, Steven Christe, Jack Ireland, Shane A. Maloney, Tannmay Yadav, Prateek Chanda, Jongyeob Park, Daniel F. Ryan, Sabrina Savage, Garrison Taylor, Russell J. Hewett, Kevin Reardon, Andrew Inglis, Andrew Hill, Laura A. Hayes, Yash Jain, V. Keith Hughitt, Michael S. Kirk, Monica G. Bobra, Kaustubh Hiware, David Stansby, Brigitta Sipocz, Rajul
The goal of the SunPy project is to facilitate and promote the use and development of community-led, free, and open source data analysis software for solar physics based on the scientific Python environment. The project achieves this goal by developi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ed8c3177eafd79d1d8bf09ea464711c
http://hdl.handle.net/10852/82978
http://hdl.handle.net/10852/82978
Autor:
Matt Earnshaw, Manas Mangaonkar, Arthur Eigenbrot, Abhigyan Bose, Ankit Agrawal, Juan Camilo Buitrago-Casas, Thomas P. Robitaille, Brigitta Sipőcz, Rishabh Sharma, Yash Kothari, Jordan Ballew, Shresth Verma, Jack Ireland, Alex Hamilton, Ole Streicher, Sarthak Jain, Tiago M. D. Pereira, Yudhik Agrawal, John G Evans, David Pérez-Suárez, S. Dacie, Michael Charlton, Agneet Chatterjee, Russell J. Hewett, Samuel Bennett, Ambar Mehrotra, Steven Christe, Ishtyaq Habib, Daniel D'Avella, Florian Mayer, Sanjeev Dubey, Igor Babuschkin, Chloé Guennou, Carlos Molina, Punyaslok Pattnaik, Freek Verstringe, Jose Ivan Campos Rozo, Kaustubh Hiware, Deepankar Sharma, Shane A. Maloney, Tomas Meszaros, Tessa D. Wilkinson, Tannmay Yadav, N. Freij, Swapnil Sharma, W. T. Barnes, Mateo Inchaurrandieta, Sophie A. Murray, Emmanuel Arias, Andrew J. Leonard, Stuart Mumford, Harsh Mathur, Rajasekhar Reddy Mekala, Nicky Chorley, James Mason, Rishabh Mishra, Dhruv Goel, Juanjo Bazán, Goran Cetusic, Nicholas A. Murphy, Michael Malocha, Arseniy Kustov, Sanskar Modi, Shashank Srikanth, S. Zahniy, Vishnunarayan K, Himanshu, Jacob, Duygu Keşkek, Norbert G. Gyenge, Andrew Hill, Pritish Chakraborty, Daniel Williams, Jaylen Wimbish, Ankit Baruah, André Chicrala, Ankit Kumar, Michael Mueller, Airmansmith, Garrison Taylor, Rajul Srivastava, David Stansby, Adrian M. Price-Whelan, Asish Panda, Mickaël Schoentgen, Ruben De Visscher, Yasintoda, Yash Krishan, Quinn Arbolante, Matt Bates, Sourav Ghosh, Reid Gomillion, Nitin Choudhary, Simon Liedtke, Monica G. Bobra, Daniel Ryan, Bernhard M. Wiedemann, Fionnlagh Mackenzie Dover, Abigail L. Stevens, Erik M. Bray, Albert Y. Shih, Brandon Stone, Dominik Stańczak, Naman, Jongyeob Park, Gulshan Kumar, Joseph Letts, Priyank Lodha, Dumindu Buddhika, Sudarshan Konge, Ankit, Larry Manley, Trung Kien Dang, V. Keith Hughitt, Akramul Haque, Michael S. Kirk, Jamescalixto, Matthew Mendero, Benjamin Mampaey, Laura A. Hayes, Yash Jain, Andrew Inglis, Prateek Chanda, Yash Sharma, Kalpesh Krishna, Jai Ram Rideout
Publikováno v:
Journal of Open Source Software. 5:1832
Publikováno v:
Neurocomputing. 149:59-64
FAM is an associative memory that uses operators of fuzzy logic and mathematical morphology (MM). FAMs possess important advantages including noise tolerance, unlimited storage, and one pass convergence. An important property, deciding FAM performanc