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pro vyhledávání: '"Hanaa Salem Marie"'
Autor:
Samia M. Abd-Alhalem, Hesham Arafat Ali, Naglaa F. Soliman, Abeer D. Algarni, Hanaa Salem Marie
Publikováno v:
IEEE Access, Vol 12, Pp 116055-116070 (2024)
In the contemporary digital marketplace, the proliferation of online consumer reviews has a pivotal influence on purchasing decisions. Concurrently, the prevalence of spurious reviews poses a substantial risk to the integrity of e-commerce, misleadin
Externí odkaz:
https://doaj.org/article/9b78913ea9014a69a7aafdc20d4d6d0f
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-21 (2024)
Abstract Plant diseases have a significant impact on leaves, with each disease exhibiting specific spots characterized by unique colors and locations. Therefore, it is crucial to develop a method for detecting these diseases based on spot shape, colo
Externí odkaz:
https://doaj.org/article/0657f6310af046d7818d9c854ddd0781
Publikováno v:
Case Studies in Construction Materials, Vol 17, Iss , Pp e01463- (2022)
Machine learning (ML) had already advanced rapidly in recent years, promising to completely change and enhance the function of data science in a spectrum of areas. This paper proposed a framework for predicting the shear strength of reinforced concre
Externí odkaz:
https://doaj.org/article/ae886f5a87cd4a3d84841658ee499be6
Publikováno v:
Sustainability; Volume 14; Issue 13; Pages: 7734
Room occupancy prediction based on indoor environmental quality may be the breakthrough to ensure energy efficiency and establish an interior ambience tailored to each user. Identifying whether temperature, humidity, lighting, and CO2 levels may be u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6adf27d776b096da983382c67a7ab91f