Zobrazeno 1 - 10
of 4 652
pro vyhledávání: '"learning techniques"'
Autor:
Rabia Sabri, Sobia Iqbal
Publikováno v:
Business Review, Vol 19, Iss 2, Pp 54-73 (2024)
This research is focused on the stock exchanges of Sri Lanka, Pakistan, and Bangladesh due to their significant presence in the Asian region and the unique challenges, opportunities, and presence in these frontier markets. The study assesses both tra
Externí odkaz:
https://doaj.org/article/cd5ba36a17b1471591fc1231a128f6ce
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract This study examines factors influencing leisure life satisfaction (LLS) through machine learning techniques based on the data from the 2019 National Leisure Activity Survey in Korea. The results show that using machine learning techniques in
Externí odkaz:
https://doaj.org/article/66cdfad18af14edeaa2f629eec83537c
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Objective The aim of this study is to assess the use of machine learning methodologies in the diagnosis of endometriosis (EM). Methods This study included a total of 106 patients with EM and 203 patients with non-EM conditions (like simple c
Externí odkaz:
https://doaj.org/article/8dae5812f05f4b4e85d7d9b8bec00222
Autor:
Jiefeng Ren, Haijun Wang, Song Lai, Yi Shao, Hebin Che, Zaiyao Xue, Xinlian Qi, Sha Zhang, Jinkun Dai, Sai Wang, Kunlian Li, Wei Gan, Quanjin Si
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Objective Accurate prediction of survival prognosis is helpful to guide clinical decision-making. The aim of this study was to develop a model using machine learning techniques to predict the occurrence of composite thromboembolic events (CT
Externí odkaz:
https://doaj.org/article/a9cbfd5b640b48c586dca0423a0989bb
Publikováno v:
Misan Journal of Engineering Sciences, Vol 3, Iss 1, Pp 100-120 (2024)
The subject of study known as radio propagation prediction refers to predicting the behaviour and characteristics of radio waves as they propagate through the atmosphere. It is a basic element of all wireless communication systems, including satellit
Externí odkaz:
https://doaj.org/article/5f72e0d2068d499fbc86c198740cd845
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This survey provides an insightful overview of recent advancements in facial recognition technology, mainly focusing on multi-modal face recognition and its applications in security biometrics and identity verification. Central to this study
This survey provides an insightful overview of recent advancements in facial recognition technology, mainly focusing on multi-modal face recognition and its applications in security biometrics and identity verification. Central to this study
Externí odkaz:
http://hdl.handle.net/10454/20167
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103048- (2024)
Precise streamflow forecasting in river systems is crucial for water resources management and flood risk assessment. The Tagus Headwaters River Basin (THRB) in Spain is a key hydrological hub, providing regulated flow for agricultural, urban, and ene
Externí odkaz:
https://doaj.org/article/2887e077568a4a2295c71857b68f5333
Publikováno v:
Frontiers in Education, Vol 9 (2024)
ObjectivesMedical student education is critical in equipping future doctors to impact patient healthcare and the national public health system significantly. This study aimed to identify factors influencing student academic success (honors level or h
Externí odkaz:
https://doaj.org/article/be545171b344491ebf58f8c9ae74a7a4
Autor:
Pedro Luis Saraiva Barbosa, Gabriela Nayara Duarte Oliveira Damazio, Windson Viana de Carvalho, Rafael Augusto Ferreira do Carmo, Evandro Nogueira de Oliveira
Publikováno v:
Avaliação: Revista da Avaliação da Educação Superior, Vol 29 (2024)
Abstract Accreditation and continuous assessments are crucial for ensuring quality and standards in higher education. In Brazil, the federal government also conducts an annual student assessment called Enade. This paper presents a scoping review that
Externí odkaz:
https://doaj.org/article/ac7d6ecaba274e2b912702e99c127221
Autor:
Ahmet Durap
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103573- (2024)
Accurate prediction of significant wave height (SWH) is critical for coastal safety, marine operations, and disaster management. Traditional numerical models for wave prediction are computationally intensive and often lack accuracy, prompting a shift
Externí odkaz:
https://doaj.org/article/0c968d7b35364734ae1233e71fb4d283