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Akademický článek

ECG Classification Exercise Health Analysis Algorithm Based on GRU and Convolutional Neural Network

Autor: Weiran Ji, Dong Zhu

Publikováno v: IEEE Access, Vol 12, Pp 59842-59850 (2024)

Sudden cardiac death (SCD) is one of the main causes of death in athletes during exercise and physical activity. By analyzing the results of the ECG classification, doctors can promptly detect the presence of cardiovascular diseases and implement app

Externí odkaz: https://doaj.org/article/d78e9db506f247a4bd919accfb2eb19a

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Akademický článek

Classification of coal-bearing strata abnormal structure based on POA–ELM

Autor: Jie GAO, Yu YI, Wenyu ZHAO, Yuanjun WANG, Liang WANG

Publikováno v: Meitan xuebao, Vol 48, Iss 11, Pp 4135-4144 (2023)

In order to identify and classify the abnormal structures in coal-bearing strata more accurately, a POA−ELM model based on the pelican optimization algorithm (POA) and the extreme learning machine (ELM) is proposed. The performance of extreme learn

Externí odkaz: https://doaj.org/article/058f4af95ed2478db2adaf2b457069d1

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Herbarium: The Quest to Preserve and Classify the World's Plants.

Autor: Bordelon, Ashley¹

Publikováno v: Journal of the Botanical Research Institute of Texas. 11/29/2022, Vol. 16 Issue 2, p448-448. 1p.

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Akademický článek

Systemic review of age brackets in pediatric emergency medicine literature and the development of a universal age classification for pediatric emergency patients - the Munich Age Classification System (MACS)

Autor: Alexander Althammer, Stephan Prückner, Geogr Christian Gehring, Victoria Lieftüchter, Heiko Trentzsch, Florian Hoffmann

Publikováno v: BMC Emergency Medicine, Vol 23, Iss 1, Pp 1-7 (2023)

Abstract Currently arbitrary, inconsistent and non-evidence-based age cutoffs are used in the literature to classify pediatric emergencies. None of these classifications have valid medical rationale. This leads to confusion and poor comparability of

Externí odkaz: https://doaj.org/article/9943feb7ff3946c1b3d29e631ddf1ff7

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Akademický článek

Applying Data Mining to Classify Customer Satisfaction using C4.5 Algorithm Decision Tree

Autor: J. Prayoga, Zelvi Gustiana, Sabrina Aulia Rahmah

Publikováno v: IJCCS (Indonesian Journal of Computing and Cybernetics Systems), Vol 17, Iss 2, Pp 207-216 (2023)

Tight business competition demands business actors to make responsive, timely decisions to survive the uncertainty. Food business, especially cafes, has emerged as one of the most popular business types recently. One cafe concept that draws most cust

Externí odkaz: https://doaj.org/article/5db6e74d9d0c454ea106ad95961ff633

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Akademický článek

Customer churn prediction model: a case of the telecommunication market

Autor: Fareniuk Yana, Zatonatska Tetiana, Dluhopolskyi Oleksandr, Kovalenko Oksana

Publikováno v: ECONOMICS, Vol 10, Iss 2, Pp 109-130 (2022)

The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the s

Externí odkaz: https://doaj.org/article/a80f51000b8d4804a713168ab9f696cd

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