Zobrazeno 1 - 10
of 120
pro vyhledávání: '"supervised algorithms"'
Publikováno v:
Discover Artificial Intelligence, Vol 3, Iss 1, Pp 1-22 (2023)
Abstract One aspect of natural language processing, text classification, has become necessary in the educational domain due to the increasing number of students and the COVID-19 outbreak. The advent of the devastating pandemic and the need to remain
Externí odkaz:
https://doaj.org/article/a8c17539c9eb4a8992c61623cbf67226
Akademický článek
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Discrimination of Leaves in a Multi-Layered Mediterranean Forest through Machine Learning Algorithms
Autor:
Cesar Alvites, Mauro Maesano, Juan Alberto Molina-Valero, Bruno Lasserre, Marco Marchetti, Giovanni Santopuoli
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4450 (2023)
Terrestrial laser scanning (TLS) technology characterizes standing trees with millimetric precision. An important step to accurately quantify tree volume and above-ground biomass using TLS point clouds is the discrimination between timber and leaf co
Externí odkaz:
https://doaj.org/article/8f36fe128e5449419df9ec8d3ff94ad1
Publikováno v:
Symmetry, Vol 15, Iss 9, p 1638 (2023)
In this work, an artificial neural network based on the Cuckoo search algorithm (CS-ANN) is implemented for squeezing flow problems. Three problems are considered: the squeezing flow, the MHD squeezing flow, and the flow of the third-grade fluid past
Externí odkaz:
https://doaj.org/article/19d42ab3789a4469b4d647a3bb74ec9a
Autor:
Luis Serviá, Neus Montserrat, Mariona Badia, Juan Antonio Llompart-Pou, Jesús Abelardo Barea-Mendoza, Mario Chico-Fernández, Marcelino Sánchez-Casado, José Manuel Jiménez, Dolores María Mayor, Javier Trujillano
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-12 (2020)
Abstract Background Interest in models for calculating the risk of death in traumatic patients admitted to ICUs remains high. These models use variables derived from the deviation of physiological parameters and/or the severity of anatomical lesions
Externí odkaz:
https://doaj.org/article/6d75261d3d944f5e988c4f772cad17dc
Autor:
G. Ilievski, P. Latkoski
Publikováno v:
Radioengineering, Vol 29, Iss 1, Pp 243-250 (2020)
Cloudification of all computing environments is an undergoing process. The process has overpassed the classical Virtual Machines (VM) and Software-Defined Networking (SDN) approach and has moved towards dockerizing, microservices, app functions, netw
Externí odkaz:
https://doaj.org/article/f8d8dab21b7a440b935b0e37a5a80f9e
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
The new technology of single-cell RNA sequencing (scRNA-seq) can yield valuable insights into gene expression and give critical information about the cellular compositions of complex tissues. In recent years, vast numbers of scRNA-seq datasets have b
Externí odkaz:
https://doaj.org/article/0bdd609791044f43be6eaa4ea03bad6d
Publikováno v:
Designs, Vol 7, Iss 2, p 46 (2023)
In this paper, four machine learning algorithms are examined regarding their effectiveness in dealing with a complete lack of sensor drift values for a crucial parameter for ship performance evaluation, such as a ship’s speed through water (STW). A
Externí odkaz:
https://doaj.org/article/7459db1ff76a4ca389753474758126ec
Akademický článek
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