Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Wenbo Ai"'
Predictive Models for Biodiesel Performance and Emission Characteristics in Diesel Engines: A Review
Autor:
Wenbo Ai, Haeng Muk Cho
Publikováno v:
Energies, Vol 17, Iss 19, p 4805 (2024)
With the increasing global demand for renewable energy, biodiesel has become a promising alternative to fossil fuels with significant environmental benefits. This article systematically reviews the latest advances in predictive modeling techniques fo
Externí odkaz:
https://doaj.org/article/41053f1adb754e3f8f70e94e9a59add1
Publikováno v:
Energies, Vol 17, Iss 14, p 3449 (2024)
With the continuous growth of global energy demand and increasingly prominent environmental issues, the research and utilization of renewable energy as a substitute for traditional fossil fuels have gained significant importance. Biofuels, recognized
Externí odkaz:
https://doaj.org/article/9cb19e6529844829b65c663690d6665c
Autor:
Wenbo Ai
Publikováno v:
SciMedicine Journal, Vol 1, Iss 4, Pp 176-188 (2019)
This paper describes initial, exploratory fieldwork carried out at Hantun village in Henan Province, China by a Royal College of Art research student in April 2018. It focuses on low literates’ medical issues – the prescription and taking of medi
Externí odkaz:
https://doaj.org/article/a0c0ead5fdc844f0a5dc614a126dd2fe
Publikováno v:
Design for Health. 6:185-203
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 15; Pages: 9531
An online survey was circulated to employees from a wide range of organisations to gauge attitudes towards the idea of using smart hand sanitisers in the workplace. The sanitisers are capable of real-time monitoring and providing feedback that varies
Autor:
Wenbo Ai
Publikováno v:
Estudos em Design. 27
The author of this paper is an Mphil student studying at the Royal College of Art, School of Communication. His research topic concerns low literacy and literacy design and has two aims: firstly, to determine whether design language as a cognitively
Publikováno v:
ICNC-FSKD
Differential evolution (DE) is one of the most efficient and powerful algorithms for global optimization problems and exhibits remarkable performance in scientific and engineering fields. In the past few years, various improved variants have been stu
Publikováno v:
IOP Conference Series: Earth & Environmental Science; Mar2020, Vol. 446 Issue 3, p1-1, 1p