Zobrazeno 1 - 10
of 3 180
pro vyhledávání: '"ANNS"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract China has been at the forefront of adopting emerging technologies to drive its economic transformation towards sustainability. The country’s green GDP accounting framework aims to capture the environmental costs and benefits associated wit
Externí odkaz:
https://doaj.org/article/a0758abad60448fe8e0682d554a0fa34
Publikováno v:
Discover Food, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract Sorption isotherms are essential for understanding the moisture sorption behavior of foods, which is critical for optimizing drying processes, predicting shelf life, and designing effective packaging. This study examined the moisture sorptio
Externí odkaz:
https://doaj.org/article/3324682d748142559b2cfb79e22ea344
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-23 (2024)
Abstract Understanding the mechanisms of pipeline failures is crucial for identifying vulnerabilities in gas transmission pipelines and planning strategies to enhance the reliability and resilience of energy supply chains. Existing studies and the Am
Externí odkaz:
https://doaj.org/article/35a0f91b3a9b44719fec325899e40093
Publikováno v:
World Journal of Engineering, 2023, Vol. 21, Issue 5, pp. 970-985.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-04-2023-0105
Publikováno v:
Journal of Oral Biology and Craniofacial Research, Vol 14, Iss 5, Pp 500-506 (2024)
Aim: The aim of the questionnaire study was to determine the knowledge, attitude, and perception of orthodontists regarding the role of artificial intelligence in dentistry in general and orthodontics specifically, and to determine the use of artific
Externí odkaz:
https://doaj.org/article/d3fce5e9c2484284a85c30756765935f
Autor:
Ahmed Fathy Abouzeid, Hadeer Eleraky, Ahmed Kalas, Rawya Rizk, Mohamed Mohamed Elsakka, Ahmed Refaat
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Maximum power point tracking (MPPT) is a technique involved in photovoltaic (PV) systems for optimizing the output power of solar panels. Traditional solutions like perturb and observe (P&O) and Incremental Conductance (IC) are commonly util
Externí odkaz:
https://doaj.org/article/57a043bb137e47fbacc1d2c1b5a4f6ca
Autor:
Shakir A. H. Alhuthali, Mohsin Murad, Imran A. Tasadduq, Mohammad Hamza Awedh, Ali M. Rushdi, Sultan Alotaibi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Radio frequency identification (RFID) technology has been widely used in applications such as access control, inventory management, spatial positioning, and object identification. Accurate tag estimation is one of the major challenges in RFI
Externí odkaz:
https://doaj.org/article/f70309a2663848d3906e6ba9b34c46ca
Autor:
Rabee Alqura’n, Mahmoud AlJamal, Issa Al-Aiash, Ayoub Alsarhan, Bashar Khassawneh, Mohammad Aljaidi, Rakan Alanazi
Publikováno v:
IoT, Vol 5, Iss 3, Pp 478-508 (2024)
The rapid expansion of the Internet of Things (IoT) and the advancement of 5G technology require strong cybersecurity measures within IoT frameworks. Traditional security methods are insufficient due to the wide variety and large number of IoT device
Externí odkaz:
https://doaj.org/article/3cf84e5b5e9e414cb81a2b0c5cff8b8b
Autor:
Redouane Elharbili, Tawfik El Moussaoui, Khalid El Ass, Mohamed Oussama Belloulid, Abdelhafid El Alaoui El Fels, Mohamed Yassine Samiri
Publikováno v:
Cleaner Water, Vol 2, Iss , Pp 100058- (2024)
In this paper, a data driven method to assess and predict performance of full scale urban activated sludge wastewater treatment plant (WWTP) is presented. The proposed hybrid approach consists of a combination of artificial neural networks (ANNs) and
Externí odkaz:
https://doaj.org/article/b36d1b694c194549b0654fdf5621f89e