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Akademický článek

Male and Female Hormone Reading to Predict Pregnancy Percentage Using a Deep Learning Technique: A Real Case Study

Autor: Lara Shboul, Kamil Fram, Saleh Sharaeh, Mohammad Alshraideh, Nancy Shaar, Njwan Alshraideh

Publikováno v: AI, Vol 3, Iss 4, Pp 871-889 (2022)

Diagnosing gynecological diseases is a significant difficulty for the medical sector. Numerous patients visit gynecological clinics for pregnancies as well as for other illnesses, such as polycystic ovarian syndrome, ovarian cysts, endometritis, meno

Externí odkaz: https://doaj.org/article/91c8d0273baf494c99c2fabffbb50123

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Decision support system (DSS) for traffic prediction and building a dynamic internet community using Netnography technology in the city of Amman

Autor: Nancy Shaar, Mohammad Alshraideh, Lara Shboul, Iyad AlDajani

Publikováno v: Journal of Experimental & Theoretical Artificial Intelligence. :1-21

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b8dc39eaaaa9a181c492c99449524d2
https://doi.org/10.1080/0952813x.2023.2165716

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A Classical Machine Learning Model Scheduling in Industrial Wireless Sensor Networks

Autor: Saleh Al-Sharaeh, Nancy Shaar, Lara Shboul

Publikováno v: Journal of Hunan University Natural Sciences. 49:24-30

Time synchronization is a primary issue in industrial wireless sensor networks (IWSNs). It helps to optimize the connection and preserve battery consumption, and thus increase the network lifetime. This study aims to identify the most effective facto

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d48ad7b34ab085f0521ceaf388302036
https://doi.org/10.55463/issn.1674-2974.49.1.4

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