Zobrazeno 1 - 10
of 452
pro vyhledávání: '"Hybrid prediction"'
Publikováno v:
In Alexandria Engineering Journal December 2024 109:626-637
Publikováno v:
Plants, Vol 13, Iss 19, p 2790 (2024)
In the context of rapidly increasing population and diversified market demands, the steady improvement of yield and quality in horticultural crops has become an urgent challenge that modern breeding efforts must tackle. Heterosis, a pivotal theoretic
Externí odkaz:
https://doaj.org/article/2cc7d9d7d8f34e1f9c37ef1d7b52dd5b
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 8, p 1397 (2024)
Considering the nonlinear and non-stationary characteristics of sea-level-change time series, this study focuses on enhancing the predictive accuracy of sea level change. The adjacent seas of China are selected as the research area, and the study int
Externí odkaz:
https://doaj.org/article/7bac52e27de04dee98a64579c1509a4a
Autor:
Fizzah Arshad, Muhammad Mateen, Shaukat Hayat, Maryam Wardah, Zaid Al-Huda, Yeong Hyeon Gu, Mugahed A. Al-antari
Publikováno v:
Alexandria Engineering Journal, Vol 78, Iss , Pp 406-418 (2023)
Agricultural productivity plays a vital role in global economic development and growth. When crops are affected by diseases, it adversely impacts a nation’s economic resources and agricultural output. Early detection of crop diseases can minimize l
Externí odkaz:
https://doaj.org/article/4b5902aab0b242cbb38c1ffa83e751cd
Autor:
Marco Antônio Peixoto, Kristen A. Leach, Diego Jarquin, Patrick Flannery, Jared Zystro, William F. Tracy, Leonardo Bhering, Márcio F. R. Resende
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Sweet corn breeding programs, like field corn, focus on the development of elite inbred lines to produce commercial hybrids. For this reason, genomic selection models can help the in silico prediction of hybrid crosses from the elite lines, which is
Externí odkaz:
https://doaj.org/article/cacf541778c04b1ca7dfe8587c5e29fa
Publikováno v:
Energies, Vol 17, Iss 15, p 3662 (2024)
As global climate change intensifies, nations around the world are implementing policies aimed at reducing emissions, with carbon-trading mechanisms emerging as a key market-based tool. China has launched carbon-trading markets in several cities, ach
Externí odkaz:
https://doaj.org/article/d642ad6158c944489c36ced47971f281
Autor:
Jiaojian Yin, Hongzhang Ma
Publikováno v:
Axioms, Vol 13, Iss 6, p 414 (2024)
Simulating surface conditions by solving the wave equation of a sucker-rod string is the theoretical basis of a sucker-rod pumping system. To overcome the shortcomings of the conventional finite difference method and analytical solution, this work de
Externí odkaz:
https://doaj.org/article/67c7121a83ab4bc6bd9cfe9191c06429
Publikováno v:
Case Studies in Thermal Engineering, Vol 52, Iss , Pp 103694- (2023)
In order to mitigate the irreversible damage caused by cold start and preserve cell performance, this paper proposes a real-time prediction method based on the remaining cold start time of the proton exchange membrane fuel cell (PEMFC). This method c
Externí odkaz:
https://doaj.org/article/b0526d959f7b45e4bd85d04d3fc1f02c
Publikováno v:
IEEE Access, Vol 11, Pp 11118-11131 (2023)
This paper proposes a hybrid current predictive deadbeat tracking control method to address the problem that a conventional deadbeat current tracking control has evolved into a deadbeat control in the digital implementation process. First, the refere
Externí odkaz:
https://doaj.org/article/9c8235575f774c468b9534453c22da6b
Autor:
Amirhossein Sheykhinasab, Amir Ali Mohseni, Arash Barahooie Bahari, Ehsan Naruei, Shadfar Davoodi, Aliakbar Aghaz, Mohammad Mehrad
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 13, Iss 2, Pp 661-689 (2022)
Abstract Permeability is an important parameter in the petrophysical study of a reservoir and serves as a key tool in the development of an oilfield. This is while its prediction, especially in carbonate reservoirs with their relatively lower levels
Externí odkaz:
https://doaj.org/article/8c6c3197e9714e7890181643ff05e905