Zobrazeno 1 - 10
of 2 422
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 1-12 (2024)
ABSTRACTThe 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
Externí odkaz:
https://doaj.org/article/2725291de7df4245ba84e26d93cbc716
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
Autor:
Aryanis Mutia Zahra, Noveria Anggi Nurrahmah, Sri Rahayoe, Rudiati Evi Masithoh, Muhammad Fahri Reza Pahlawan, Laila Rahmawati
Publikováno v:
Research in Agricultural Engineering, Vol 70, Iss 2, Pp 111-121 (2024)
Porang (Amorphophallus muelleri) is an Indonesian parental plant tuber developed vegetatively from bulbils during dormancy and harvested through petiole detachment for the industrial production of glucomannan. Pathogenic fungi and whiteflies can caus
Externí odkaz:
https://doaj.org/article/47e7c9d4c26a47658188ebee15b6cf40
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
Autor:
Elisa Ramirez, Samuel Ruiperez-Campillo, Ruben Casado-Arroyo, José Luis Merino, Julia E. Vogt, Francisco Castells, José Millet
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
Background and ObjectivesAccurate diagnosis of cardiovascular diseases often relies on the electrocardiogram (ECG). Since the cardiac vector is located within a three-dimensional space and the standard ECG comprises 12 projections or leads derived fr
Externí odkaz:
https://doaj.org/article/9a86bb29c4cf41bd9edea791667e70a7
Autor:
Stavros Sakellariou, Palaiologos Palaiologou, Anastasia K. Paschalidou, Michael Vrahnakis, Olga Christopoulou
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
Externí odkaz:
https://doaj.org/article/dc30daf101c9470fb0aff217213fcd82
Autor:
Mohit Agarwal, Garima Jaiswal, Rohit Kumar Kaliyar, Akansha Singh, Krishna Kant Singh, S. S. Askar, Mohamed Abouhawwash
Publikováno v:
IEEE Access, Vol 12, Pp 161968-161981 (2024)
Federated learning uses the concept of decentralized training of n number of local clients for a small number of epochs say 2-5, and then averaging the learned weights of all local clients, and evaluating on test dataset with the average weights load
Externí odkaz:
https://doaj.org/article/ca53c90719244b7ba72f1ce0117bbbe9
Autor:
Sultan Alshamrani
Publikováno v:
IEEE Access, Vol 12, Pp 103583-103593 (2024)
Large language models (LLMs) have revolutionized natural language processing (NLP), enabling machines to process, understand and generate human-like text with high accuracy. However, the current practices in training and evaluating these models often
Externí odkaz:
https://doaj.org/article/3bd2930f98a743a28a69fe1bef14d7eb