Results 1 to 10 of about 51,627 (264)
Implicit modeling of narrow vein type ore bodies based on Boolean combination constraints [PDF]
Scientific Reports, 2022 In this paper, we implement an automatic modeling method for narrow vein type ore bodies based on Boolean combination constraints. Different from the direct interpolation approach, we construct the implicit functions of the hanging wall and foot wall ...
Deyun Zhong +3 more
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Combination Constraints of Multiple Fields for Implicit Modeling of Ore Bodies
Applied Sciences, 2021 In this paper, we introduce combination constraints for modeling ore bodies based on multiple implicit fields interpolation. The basic idea of the method is to define a multi-labeled implicit function that combines different sub-implicit fields by the ...
De-Yun Zhong +2 more
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Robust 2D Human Pose Estimation with Parallel Graph–Attention Modeling and Entropy-Aware Feature Decoding [PDF]
EntropyRobust 2D human pose estimation remains challenging due to occlusion and background interference, which introduce substantial uncertainty into visual representations.
Jiayuan Zhao +4 more
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Implicit 3D geological modeling method based on expert knowledge constraints: A case study from the Songshugang Mining District, Hengfeng County, Jiangxi Province, China. [PDF]
PLoS ONEImplicit 3D geological modeling offers advantages in rapid model construction; however, purely data-driven approaches have limitations in modeling accuracy and often fail to represent complex geological structures faithfully.
Wenlong Jin +9 more
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Implicit multilinear modeling [PDF]
Autom., 2022 The paper introduces a subclass of nonlinear differential-algebraic models of interest for applications. By restricting the nonlinearities to multilinear polynomials, it is possible to use modern tensor methods. This opens the door to new approximation and complexity reduction methods for large scale systems with relevant nonlinear behavior.
Gerwald Lichtenberg +6 more
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Implicit Reward Structures for Implicit Reliability Models
IEEE Transactions on Reliability, 2023 A new methodology for effective definition and efficient evaluation of dependability-related properties is proposed. The analysis targets the systems composed of a large number of components, each one modeled implicitly through high-level formalisms, such as stochastic Petri nets.
Masetti G +3 more
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Mesh Processing for Snapping Feature Points and Polylines in Orebody Modeling
Mathematics, 2022 The 3D refinement modeling of the orebody provides an important guarantee for the estimation of the resources and reserves of an ore deposit. Implicit modeling techniques can effectively improve the efficiency of orebody modeling and facilitate the ...
Zhaopeng Li +4 more
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CoRR, 2021 This paper focuses on training implicit models of infinite layers. Specifically, previous works employ implicit differentiation and solve the exact gradient for the backward propagation. However, is it necessary to compute such an exact but expensive gradient for training?
Zhengyang Geng +4 more
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Perspectives of 3D Probabilistic Subsoil Modeling for BIM
Geotechnics, 2023 Building information modeling (BIM) in the planning and construction of infrastructure projects, such as roads, tunnels, and excavations, requires the generation of comprehensive 3D subsoil models that encompass relevant geological and geotechnical ...
Andreas Wiegel +2 more
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Geological Modeling Method Based on the Normal Dynamic Estimation of Sparse Point Clouds
Mathematics, 2021 The effect of geological modeling largely depends on the normal estimation results of geological sampling points. However, due to the sparse and uneven characteristics of geological sampling points, the results of normal estimation have great uncertainty.
Tiandong Shi, Deyun Zhong, Liguan Wang
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