Zobrazeno 1 - 10
of 106
pro vyhledávání: '"RF, Random Forest"'
Publikováno v:
IEEE Access, Vol 11, Pp 26441-26458 (2023)
Standard inspections of buildings are not always possible because of human flaws in prediction. Hence, we need more stable, scalable, and efficient automated processes. Structure Health Monitoring (SHM) is one of the automation systems for forecastin
Externí odkaz:
https://doaj.org/article/4527b477dcb54c878330fda02f58bfc8
Akademický článek
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Akademický článek
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Autor:
Mazarire, Theresa Taona, Ratshiedana, Phathutshedzo Eugene, Nyamugama, Adolph, Adam, Elhadi, Chirima, George
Publikováno v:
South African Journal of Geomatics; Vol. 9 No. 2 (2020); 333-347
Accurate and detailed studies in crop mapping are crucial in precision agriculture, yield estimations, and crop monitoring. This study focused on exploring the utility of Sentinel-2 data in mapping of crop types and testing the two machine learning a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaf8ed6083c84f27e62d3389830953d3
https://doi.org/10.4314/sajg.v9i2.22
https://doi.org/10.4314/sajg.v9i2.22
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 2833-2850 (2021)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Graphical abstract
The worldwide health crisis caused by the SARS-Cov-2 virus has resulted in>3 million deaths so far. Improving early screening, diagnosis and prognosis of the disease are critical steps in assisting healthcare professionals to
The worldwide health crisis caused by the SARS-Cov-2 virus has resulted in>3 million deaths so far. Improving early screening, diagnosis and prognosis of the disease are critical steps in assisting healthcare professionals to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99d4904675baf780e5818934ae227323
http://www.sciencedirect.com/science/article/pii/S2001037021001914
http://www.sciencedirect.com/science/article/pii/S2001037021001914
Autor:
Victor Maojo, Nereida Rodriguez-Fernandez, Adrian Carballal, Carlos Fernandez-Lozano, Francisco J. Novoa, Alejandro Pazos, Paula Carracedo-Reboredo, Francisco Cedrón, Jose Liñares-Blanco
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4538-4558 (2021)
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
Graphical abstract
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1455b1a18d7c6c8d727e34d6b7d78f8
http://www.sciencedirect.com/science/article/pii/S2001037021003421
http://www.sciencedirect.com/science/article/pii/S2001037021003421
Autor:
Marie A. Chaix, James Ellis, Cedric Manlhiot, Emily Lam, Paul C. Nathan, Neha Parmar, Anne Christie, Jane Lougheed, Paul F. Kantor, Guoliang Meng, Luc Mertens, Anastasia Miron, Leonard S. Sender, Stacey Marjerrison, Shayna Zelcer, Ashok Kumar Manickaraj, David C. Hodgson, Rejane Dillenburg, Seema Mital, Oyediran Akinrinade, Herschel Rosenberg, Roderick Yao, Caroline Kinnear, Myriam Lafreniere-Roula, Mylene Bassal
Publikováno v:
Paediatrics Publications
JACC: CardioOncology
JACC: CardioOncology
Background Despite known clinical risk factors, predicting anthracycline cardiotoxicity remains challenging. Objectives This study sought to develop a clinical and genetic risk prediction model for anthracycline cardiotoxicity in childhood cancer sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9640c808872a8ac2a5f1d998b90f334
https://doi.org/10.1016/j.jaccao.2020.11.004
https://doi.org/10.1016/j.jaccao.2020.11.004
Autor:
Mr. Madhu H. K, Dr. D. Ramesh
In the present pandemic situation, health care data is generated voluminously in an unstructured format posing challenge to technology in perspective of analysis, classification and prediction. The data generated is converted to structured format. Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::a14f952eab72a2abd5d76e11ec438e9f
https://zenodo.org/record/8090684
https://zenodo.org/record/8090684
Akademický článek
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Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 668-675 (2020)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Graphical abstract
Microsatellite instability (MSI) is a genomic property of the cancers with defective DNA mismatch repair and is a useful marker for cancer diagnosis and treatment in diverse cancer types. In particular, MSI has been associated
Microsatellite instability (MSI) is a genomic property of the cancers with defective DNA mismatch repair and is a useful marker for cancer diagnosis and treatment in diverse cancer types. In particular, MSI has been associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27d229ddb4b7a09ec97a229688847ada
http://www.sciencedirect.com/science/article/pii/S2001037019305446
http://www.sciencedirect.com/science/article/pii/S2001037019305446