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- Engineering | Journal | ScienceDirect. com by Elsevier
The official journal of the Chinese Academy of Engineering and Higher Education Press Engineering is an international open-access journal that was launched by the Chinese Academy of Engineering (CAE) in 2015 Its aims are to provide a high-level platform where cutting-edge advancements in … View full aims scope
- Result sequences - ScienceDirect
Expression evaluation in conventional programming languages may be viewed as a simplification of expression evaluation in the Icon programming languag…
- The effect of particle size reduction of fibrous materials on TCLP . . .
The TCLP (toxicity characteristic leaching procedure) test is used to determine the mobility of toxic contaminants present in waste materials and to d…
- Special Issue in Honor of Professor Randi Reppen
This special issue for ACORP pays tribute to the scholarly legacy of Prof Randi Reppen (Northern Arizona University) The collection of articles spans topics that Prof Reppen has championed throughout her career, including the writing development of young learners, corpus-based workshops and register analysis, as well as corpus-informed materials design This special issue serves to underscore
- Towards sustainable horizons: A comprehensive blueprint for Mars . . .
This paper thoroughly explores the feasibility, challenges, and proposed solutions for establishing a sustainable human colony on Mars We quantitativ…
- Light pollution regulations and where to find them
The growing concerns about the adverse impacts of light pollution on astronomy, the environment, biodiversity, human health, and energy use have broug…
- How to recover more value from small pine trees: Essential oils and . . .
In recent years, the young dense forests of northern Arizona have suffered extreme droughts, wildfires, and insect outbreaks Improving forest health requires reducing forest density by cutting many small-diameter trees with the consequent production of large volumes of residual biomass To offset the cost of handling this low-value timber, additional marketing options for current operations
- Multi-feature fusion: Graph neural network and CNN combining for . . .
Due to its impressive representation power, the graph convolutional network (GCN) has attracted increasing attention in the hyperspectral image (HSI) classification However, the most of available GCN-based methods for HSI classification utilize superpixels as graph nodes, which ignore the pixel-wise spectral-spatial features To overcome the issues, we propose a novel multi-feature fusion
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