Zobrazeno 1 - 10
of 2 443
pro vyhledávání: '"Model Performance"'
Publikováno v:
Anti-Corrosion Methods and Materials, 2024, Vol. 71, Issue 6, pp. 719-732.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ACMM-04-2024-3007
Autor:
Anderson P. Avila Santos, Breno L. S. de Almeida, Robson P. Bonidia, Peter F. Stadler, Polonca Stefanic, Ines Mandic-Mulec, Ulisses Rocha, Danilo S. Sanches, André C.P.L.F. de Carvalho
Publikováno v:
RNA Biology, Vol 21, Iss 1, Pp 410-421 (2024)
The accurate classification of non-coding RNA (ncRNA) sequences is pivotal for advanced non-coding genome annotation and analysis, a fundamental aspect of genomics that facilitates understanding of ncRNA functions and regulatory mechanisms in various
Externí odkaz:
https://doaj.org/article/2725291de7df4245ba84e26d93cbc716
Autor:
Yuri Pamungkas, Dwinka Syafira Eljatin
Publikováno v:
Jurnal Sisfokom, Vol 13, Iss 3, Pp 360-368 (2024)
Nowadays, malaria has become an infectious disease with a high mortality rate. One way to detect malaria is through microscopic examination of blood preparations, which is done by experts and often takes a long time. With the development of deep lear
Externí odkaz:
https://doaj.org/article/7bf2a5ac21af475ab891d284df0c0269
Autor:
Dmytro Chornomordenko, Khalida Walid Nathim, Nada Abdulkareem Hameed, Saja Abdulfattah Salih, Nada Adnan Taher, Hayder Mahmood Salman
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 797-807 (2024)
The rapid integration of Artificial Intelligence (AI) into critical domains such as healthcare, finance, and criminal justice has raised significant ethical concerns, particularly around bias and fairness in machine learning models. Despite their pot
Externí odkaz:
https://doaj.org/article/1a7b7b682bf642c7bf157cd3fbc6ba59
Autor:
Ismailalwali Babikir, Abdul Halim Abdul Latiff, Mohamed Elsaadany, Hadyan Pratama, Muhammad Sajid, Salbiah Mad Sahad, Muhammad Anwar Ishak, Carolan Laudon
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-29 (2024)
Abstract Over the past few years, the use of machine learning has gained considerable momentum in many industries, including exploration seismic. While supervised machine learning is increasingly being used in seismic data analysis, some obstacles hi
Externí odkaz:
https://doaj.org/article/4a2bc18eed3148579e3091edde98cfda
Autor:
Omar Yousif, Mahmoud Mashkour
Publikováno v:
Engineering and Technology Journal, Vol 42, Iss 7, Pp 1015-1030 (2024)
The study aims to estimate the performance and emissions of a gasoline direct injection (GDI) engine by analyzing parameters such as engine speed between 2000 and 6000 rpm, compression ratio (CR) between 9 and 13, and the start of ignition between 14
Externí odkaz:
https://doaj.org/article/7d7bff5b37414bf3aafbd729bfbdc45d
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 4 (2024)
This study evaluates the performance of six solar radiation models for Hazaribagh in Jharkhand by comparing their estimates with those derived from the Angstrom-Prescott (A-P) model, which served as the benchmark reference. The results revealed signi
Externí odkaz:
https://doaj.org/article/d555d3636af6457cb32141c656455c24
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/ed78a046dfb14f5cbd9004e62cf5f35d
Publikováno v:
Earth's Future, Vol 12, Iss 11, Pp n/a-n/a (2024)
Abstract The quasi‐global availability of satellite‐based precipitation products (SPPs) holds significant potential for improving hydrological modeling skill. However, limited knowledge exists concerning the impacts of different SPP error type on
Externí odkaz:
https://doaj.org/article/bd05b7bd7b1148499d54d3eaba0df280
Autor:
Grégory Beaugrand
Publikováno v:
Ecosphere, Vol 15, Iss 10, Pp n/a-n/a (2024)
Abstract Many methods have been proposed to model the spatial distribution of a species. While some methods have been specifically designed for this purpose, others are well‐known statistical tools that can be used in many scientific fields. In thi
Externí odkaz:
https://doaj.org/article/b91b6b20a28c46f396cc689656f47a38