Zobrazeno 1 - 10
of 335
pro vyhledávání: '"John Cardiff"'
Autor:
Owen Fenton, Karen Daly, Pat Tuohy, John Cardiff, Simon Leach, Lungile Senteni Sifundza, John Murnane
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Farm roadway runoff is a high-risk source of pollution when connectivity with waters occurs. Nutrients in this runoff are dominated by fresh animal deposits, but recent dairy and beef farm studies showed that available phosphorus (P) accumulates in r
Externí odkaz:
https://doaj.org/article/c98ef1a8378549868323031aa951267a
Autor:
Lungile Senteni Sifundza, John G. Murnane, Karen Daly, Luis Lopez-Sangil, Simon Leach, Patrick Tuohy, John Cardiff, Owen Fenton
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
The mobilisation and impact of roadway runoff on dairy farms has been established as a sub-component of the nutrient transfer continuum. It is acknowledged that fresh nutrient sources deposited on roadways dominate runoff and recent work has shown th
Externí odkaz:
https://doaj.org/article/b6f8245db85c478c89476a4dbc9aa885
Autor:
Elena Shushkevich, John Cardiff
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 33, Iss 1, Pp 250-256 (2023)
Easy and uncontrolled access to the Internet provokes the wide propagation of false information, which freely circulates in the Internet. Researchers usually solve the problem of fake news detection (FND) in the framework of a known topic and binary
Externí odkaz:
https://doaj.org/article/b9bec23529c94b83a00643802e89f840
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 31, Iss 2, Pp 396-400 (2022)
Low accuracy of mid-term forecasts of cryptocurrencies is an open problem that impedes their promotion on the world financial market. One of the reasons is the lack of reliable predictive models including all or the majority of significant objective
Externí odkaz:
https://doaj.org/article/8f6fb97fe15242d9b97edcc1fabdfb2c
Publikováno v:
Inventions, Vol 8, Iss 5, p 112 (2023)
Given the widespread accessibility of content creation and sharing, false information proliferation is a growing concern. Researchers typically tackle fake news detection (FND) in specific topics using binary classification. Our study addresses a mor
Externí odkaz:
https://doaj.org/article/8bcd8b18875b49239983df9c56c3145c
Autor:
Elena Shushkevich, John Cardiff
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 253-258 (2021)
Nowadays the problem of fake news in social media is dramatically increasing, especially when it refers to fake news about Covid-19, as it is a recent and global problem. Because of this fact, it is important to have the ability to detect and delete
Externí odkaz:
https://doaj.org/article/5a817641a773460781bd4d9d04794b8b
Publikováno v:
IEEE Access, Vol 8, Pp 164717-164726 (2020)
In the Big Data era, there is an increasing need to fully exploit and analyze the huge quantity of information available about health. Natural Language Processing (NLP) technologies can contribute by extracting relevant information from unstructured
Externí odkaz:
https://doaj.org/article/610b17e0a8a14d48bff92a29783f50b0
A statistical evaluation of the oral vaccine S3pvac papaya against cysticercosis of taenia psiformis
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 42:4369-4378
The objective of this paper is to compare and evaluate statistically the behavior of two vaccines against cysticercus in a sample of female rabbits. The two vaccines under discussion are 1) S3Pvac-Papaya12 mg and 2) Wild Type (WT) or S3P Wild and als
Autor:
Gabriella Skitalinskaya, John Cardiff
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031238031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47f431a98b3530833fa1d5472b578d51
https://doi.org/10.1007/978-3-031-23804-8_22
https://doi.org/10.1007/978-3-031-23804-8_22
Autor:
Mikhail Alexandrov, Gabriella Skitalinskaya, John Cardiff, Olexiy Koshulko, Elena Shushkevich
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031238031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89d0b5eb3dc38fc4af34d1992b2cef4f
https://doi.org/10.1007/978-3-031-23804-8_32
https://doi.org/10.1007/978-3-031-23804-8_32