Changing energy intensity in China: a decomposition analysis
In: Chinese journal of population, resources and environment, Band 13, Heft 1, S. 67-77
ISSN: 2325-4262
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In: Chinese journal of population, resources and environment, Band 13, Heft 1, S. 67-77
ISSN: 2325-4262
In: Peace: Heping, Heft 96, S. 23-35
ISSN: 1002-8293
World Affairs Online
In: Australian journal of international affairs: journal of the Australian Institute of International Affairs, Band 61, Heft 1, S. 98-113
ISSN: 1465-332X
In: Australian journal of international affairs: journal of the Australian Institute of International Affairs, Band 61, Heft 1, S. 98-113
ISSN: 1035-7718
In: Materials Science Forum; Eco-Materials Processing & Design VII, S. 338-341
In: Environmental innovation and societal transitions, Band 51, S. 100847
ISSN: 2210-4224
In: Children and youth services review: an international multidisciplinary review of the welfare of young people, Band 119, S. 105656
ISSN: 0190-7409
In: The Chinese economy: translations and studies, Band 47, Heft 4, S. 32-62
ISSN: 1558-0954
In: Survival: global politics and strategy, Band 52, Heft 4, S. 67-86
ISSN: 1468-2699
In: Defence Technology, Band 11, Heft 2, S. 132-139
ISSN: 2214-9147
In: HELIYON-D-22-20833
SSRN
In: STOTEN-D-22-05307
SSRN
In: International food research journal: IFRJ, Band 29, Heft 2, S. 397-405
ISSN: 2231-7546
A hyperspectral imaging system covering 400 - 1000 nm spectral range was applied for vigour detection of waxy maize seeds after artificial aging. After spectral pre-processing, the characteristic wavelength was selected by uninformative variable elimination (UVE), competitive adaptive reweighted sampling (CARS), and random frog (RF) methods. The moisture, starch, protein, and fat contents were measured for each grade of seed, and these values were correlated with the spectrum. Finally, the vitality detection model was established by least squares support vector machine (LS-SVM), extreme learning machine (ELM), and random forest (RF). The prediction sets exhibited high classification accuracy (> 99%) for 115 features. The model constructed from the bands significantly correlated with chemical composition (CC), and was better than the classic feature selection methods. The overall results indicated that hyperspectral imaging could be a potential technique to assess seed vigour.
In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 71, S. 2986-3000
In: Environmental science and pollution research: ESPR, Band 30, Heft 58, S. 121420-121437
ISSN: 1614-7499