Zobrazeno 1 - 10
of 128
pro vyhledávání: '"machine learning optimization"'
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 12, Pp 1-28 (2024)
Abstract The fast expansion of mobile networks has sparked worries regarding base station EM radiation's health impacts. Traffic load is commonly ignored when evaluating EM radiation levels using maximum power output. This study proposes utilizing AI
Externí odkaz:
https://doaj.org/article/214c9780cc59403f9e5403509d188cf4
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 12, Pp 103126- (2024)
Machine learning (ML) is a subset of artificial intelligence (AI) and computer science that employs data and algorithms and mimics human learning to self-enhance its accuracy. In biofuel research, butanol is widely recognized as a prospective alterna
Externí odkaz:
https://doaj.org/article/11c2505672014b4099a234c869c0ffe0
Publikováno v:
Case Studies in Thermal Engineering, Vol 63, Iss , Pp 105323- (2024)
The current research introduces an environmentally friendly heat design method by employing biogas fuel, aiming to yield electricity, hydrogen, and heating load simultaneously. The proposed arrangement consists of a biogas-powered S-Graz plant and a
Externí odkaz:
https://doaj.org/article/70ab7fcabe404bd18f38373ea878b378
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112543- (2024)
As the pace of industrialization and urbanization accelerates, water quality management faces increasing challenges, with traditional methods for pollutant source apportionment often proving inadequate in handling complex environmental data. This stu
Externí odkaz:
https://doaj.org/article/bb5fad35a36b43fa9c0345565be683ea
Autor:
Wang, Yongfeng a, Li, Shuguang b, ⁎, Bu sinnah, Zainab Ali c, Ghandour, Raymond d, Khan, Mohammad Nadeem e, Ali, H. Elhosiny f
Publikováno v:
In Energy 30 December 2024 313
Publikováno v:
Nanophotonics, Vol 13, Iss 7, Pp 1109-1117 (2024)
Metasurface holography has aroused immense interest in producing holographic images with high quality, higher-order diffraction-free, and large viewing angles by using a planar artificial sheet consisting of subwavelength nanostructures. Despite rema
Externí odkaz:
https://doaj.org/article/c5f9e6f9cd324bfda25d97ece656cefa
Publikováno v:
IEEE Access, Vol 12, Pp 174354-174370 (2024)
Federated learning is presented as an effective solution to train artificial intelligence models on the Internet of Things networks without centralizing data, thus preserving privacy and minimizing security risks. However, its implementation in low-p
Externí odkaz:
https://doaj.org/article/a0a8bfa080004eb1a05c98161cd20cb2
Autor:
Cong Xu, Ravi Sankar
Publikováno v:
Algorithms, Vol 17, Iss 11, p 526 (2024)
With the rapid development of autonomous driving technology, ensuring the safety and reliability of vehicles under various complex and adverse conditions has become increasingly important. Although autonomous driving algorithms perform well in regula
Externí odkaz:
https://doaj.org/article/2695ca3a8f4d4beabded77c4fbdb1556
Publikováno v:
Photonics, Vol 11, Iss 7, p 640 (2024)
We propose a novel approach to mitigate the limitations of high-speed Passive Optical Networks (PONs) by introducing an all-optical processor. This solution addresses the escalating demand for higher data rates and improved performance in future acce
Externí odkaz:
https://doaj.org/article/611a03041f344d839310f311e4e0ad7e
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