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Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
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Use of forest structure to improve classification

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
This paper deals with forest classification in tropical and subtropical areas using multi-sources data fusion. Topological, environmental, structural and visual information are used to classify the samples. This study improves a previous classification by introducing airborne LiDAR information through the computation of the Digital Vegetation Elevation
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Canopy Structure of the Forest

2003
In order to assess herbivory rates (see Chap. 11) and also to calculate the effect of foliage removal on canopy carbon and water relations (see Chaps. 12 and 14), it is necessary to gain sufficient information on the amount of foliage present and its arrangement in space.
Rainer Wirth, Hubert Herz, Ronald J. Ryel, Wolfram Beyschlag, Bert Hölldobler   +4 more
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Structure of the Forest

1962
Bulletin of the National Museum, Singapore, Issue 31, pp.
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Forest Structure and Diversity

2011
This contribution presents methods that can be used to describe and analyse forest structure and diversity with particular reference to CCF management. Despite advances in remote sensing, mapped tree data in large observation windows are very rarely available in CCF management situations.
Klaus v. Gadow, Chun Yu Zhang, Christian Wehenkel, Arne Pommerening, Javier Corral-Rivas, Mykola Korol, Stepan Myklush, Gang Ying Hui, Andres Kiviste, Xiu Hai Zhao   +9 more
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Structured Forests for Fast Edge Detection

2013 IEEE International Conference on Computer Vision, 2013
Edge detection is a critical component of many vision systems, including object detectors and image segmentation algorithms. Patches of edges exhibit well-known forms of local structure, such as straight lines or T-junctions. In this paper we take advantage of the structure present in local image patches to learn both an accurate and computationally ...
Piotr Dollár, C. Lawrence Zitnick
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UNDERSTANDING FOREST DEGRADATION – A REVIEW OF FOREST STRUCTURE INDICATORS

BORNEO AKADEMIKA, 2022
Forest degradation has profoundly impacted the forest structure which has affected the carbon stock, biodiversity, microclimate and function of the ecosystem. This consequently reduces the forest’s capacity in providing goods and services. Forest degradation is typically a multi-stage anthropological process that develops gradually but might be ...
Korom Alexius, Syukur, Mohd Shahrizan, Jawan Ajimi, Suratman Mohd Nazip, Jalloh Mohamadu Boyie, Jamian Mohd Azizul Hafiz, Abd Latif Zulkiflee   +6 more
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Forest structure and physiognomy

1981
The quantity of trees on a forest plot can be assessed in various ways, notably as tree density (number of trees per unit area), basal area (total cross-sectional area at breast height — 1.3 m above the ground), as maximum height of trees, maximum girth, or as maximum crown diameter.
J. B. Hall, M. D. Swaine
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Canopy Closure Rate and Forest Structure

Ecology, 1997
Natural disturbances produce openings in forest canopies. Gap opening and closure create a mosaic of regenerating phases in the forest, which are a source of environmental heterogeneity, contributing to the maintenance of community diversity. In this study we measured the rate of canopy closure using hemispherical photographs taken in the same points ...
Teresa Valverde, Jonathan Silvertown
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