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Parameter Identification of Surrounding Rock in Underground Engineering Based on Complex Function Theory
To investigate the potential use of the complex function theory in displacement back analysis, a novel method for parameter identification is...
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Identification and Function Theory
We survey in these notes certain constructive aspects of how to recover an analytic function in a plane domain from complete or partial knowledge of...
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Complex source point solutions of the Helmholtz equation and the complex delta function: the missing link
Wavefields that are related to a source point with complex coordinates, which are not all real numbers, meanwhile have a long history. They have...
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Multi-level state evaluation in complex systems: information granules and evidence theory approach
Real-world systems often exhibit intricate complexity. Navigating and examining the conditions under which these systems operate present various...
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Design Theory and Method of Complex Products: A Review
Design is a high-level and complex thinking activity of human beings, using existing knowledge and technology to solve problems and create new...
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Stress function and its finite element implementation for elastostatic plain strain orthotropic problems of modified couple stress theory
In this work, the stress function of the orthotropic plane strain problems in the modified couple stress theory (MCST) is first proposed and its...
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New belief divergence measure based on cosine function in evidence theory and application to multisource information fusion
Multisource information fusion technology significantly benefits from using information across various sources for decision-making, particularly by...
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Free vibrations of small-scale plates with complex shape based on the nonlocal elasticity theory
Free vibrations of the orthotropic micro/nanoplate with nonclassical shape are investigated. The considered model is based on the nonlocal elasticity...
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Multiple attribute decision-making based on a prospect theory-based TOPSIS method for venture capital selection with complex information
Venture capitalists are heavily influenced by their psychological state and intuition when making investment decisions in uncertain investment...
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A Complex Circuit Contamination Analysis Method Based on Multi-loop Transfer Function Modeling
This paper proposes a contamination model based on the block diagram of the transfer function to study the pollutant migration process in complex...
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Fourier Transforms and Complex Analysis
Let f be a real or complex-valued function defined on the real line...
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Function Approximation for Using the Uncertainty Theory in Preliminary Aircraft Aerodynamic Design
The article discusses approaches to solving the function approximation problem within parametric synthesis of design solutions using the theory of...
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A novel weighted complex evidence combination with its application in multisource information fusion
With the development of complex evidence theory in the application of multisource information fusion, classical Dempster–Shafer evidence theory has...
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Efficient device simulations using density functional theory Hamiltonian and non-equilibrium Green’s function: heterostructure mode space method and core charge approximation
An efficient device simulation methodology utilizing the density functional theory Hamiltonian and non-equilibrium Green’s function is presented in...
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The Reinforcement Learning Theory, Value Function, and the Nature of Value Function Calculation by the Insular Cortex
The Reinforcement Learning theory is a powerful tool for building recognition systems. This theory has long been used in the construction of...
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Topology Optimization Method for Microscale Structures Described with Integral Nonlocal Theory
The integration of additive manufacturing and topology optimization makes it possible to fabricate complex configurations, especially for microscale...
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Clustering Validity Function Fusion Method of FCM Clustering Algorithm Based on Dempster–Shafer Evidence Theory
With the deepening of the research on clustering algorithm, clustering validity has become an indispensable part of cluster analysis. However, due to...
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Complex, Adaptive, and Evolvable System Theory: Basis and Uses
Complex, adaptive, and evolvable systems theory is an attempt to amalgamate and integrate several previously developed theories as well as bringing...
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Analyzing the Structural Complexity of Software Systems Using Complex Network Theory
Software systems have nearly been used in all walks of life, playing an increasingly important role. Thus, how to understand and measure complex...
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Keep It Simple but not Stupid—Complex Technology and Complex Organisations
This chapter deals with complexity, complex technology, complex organizations and its effect on accidents. Automation, which is used in complex...