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1061
A Stress Analysis of Some Fundamental Specimens of Soft-Matter Quasicrystals with Eightfold Symmetry Based on Generalized Dynamics
Published 2019-01-01“…So the Landau symmetry breaking theory and elementary excitation principle are therefore the paradigm of the study of soft-matter quasicrystals. …”
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1062
Consensus of T-S Fuzzy Fractional-Order, Singular Perturbation, Multi-Agent Systems
Published 2024-09-01Get full text
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1063
IMPLEMENTATION OF THE ALGEBRA OF HYPERDUAL NUMBERS IN NEURAL NETWORKS
Published 2024-10-01“…The introduction reviews the historical development of the general theory of complex numbers and the use of simple complex, double and dual numbers, which are a subset of the set of general complex numbers, in various fields of mathematics. …”
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1064
A Petrov–Galerkin approach for the numerical analysis of soliton and multi-soliton solutions of the Kudryashov–Sinelshchikov equation
Published 2024-12-01“…Visual representations, such as graphs derived from tabulated data, offer valuable insights into the dynamic changes of the equation over time or in response to varying parameters. Furthermore, we compute conservation quantities of motion and investigate the stability of our numerical scheme using Von Neumann theory, providing a comprehensive analysis of the Kudryashov–Sinelshchikov equation and the robustness of our computational approach. …”
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1065
Graph theoretical model of a sensorimotor connectome in zebrafish.
Published 2012-01-01“…Thus, our model is a uniquely detailed computational representation of a vertebrate connectome. …”
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1066
The Image of Russia in South Africa Media Discourse: Frames and Metaphors
Published 2025-12-01“…The findings have important implications for clarifying the criteria of frame identification, relying on corpus-based and computational tools, developing discourse theory by introducing the data of South African media discourse.…”
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1067
A Robust Optimization Approach for E-Bus Charging and Discharging Scheduling with Vehicle-to-Grid Integration
Published 2025-04-01“…To ensure tractability, the robust counterpart is reformulated into a solvable MILP using duality theory. The effectiveness of the proposed model is validated through extensive computational experiments, including simulation-based performance assessments and out-of-sample tests. …”
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1068
Robust multisynchrosqueezing transform time frequency technologies with application to fault diagnosis
Published 2025-09-01“…To address this limitation, several robust post-processing TFA technologies based on the fractional lower-order statistics theory have been proposed. These include the fractional lower-order local maximum multisynchrosqueezing transform (FLOLMSST), fractional lower-order improved multisynchrosqueezing transform (FLOIMSST), and fractional lower-order time-reassigned multisynchrosqueezing transform (FLOTMSST), with their computational processes detailedly derived. …”
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1069
The Basic Formulas Derivation and Degradation Verification of the 3-D Dynamic Elastoplastic TD-BEM
Published 2025-03-01“…In the field of dynamics research, in-depth exploration of three-dimensional (3-D) elastoplastic dynamics is crucial for understanding material behavior under complex dynamic loads. The findings hold significant guiding implications for design optimization in practical engineering domains such as aerospace and mechanical engineering. …”
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1070
Applications of the Shapley Value to Financial Problems
Published 2025-05-01“…Our theoretical insights with computational techniques highlights the Shapley value’s effectiveness in addressing complex allocation challenges across financial management domains.…”
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1071
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1072
Human intergroup coordination in a hierarchical multi-agent sensorimotor task arises from concurrent co-optimization
Published 2025-04-01“…In contrast, model-based approaches can be shown to generalize to larger groups and more complex network structures in evolutionary simulations. …”
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1073
Structural Dynamics Analysis of a Large Aperture Space Telescope Based on the Linear State Space Method
Published 2025-04-01“…It can characterize the inherent properties of the system by using the reduction model and has higher computational efficiency, which is helpful to analyze the frequency response characteristics of complex linear systems quickly and accurately.…”
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1074
Technologies applied to Geomorphology teaching – Virtual Reality and digital models
Published 2025-07-01“… The geomorphology teaching, which involves concepts about complex physical-natural processes, has traditionally adopted an approach based on methodologies of expository lessons aided by field excursions. …”
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1075
DFT analysis of fenethylline (Captagon): Investigating its interaction with graphene as a potential adsorbent
Published 2025-06-01“…This study investigates the adsorption potential of graphene (G) for Captagon removal using a multi-scale computational approach, including density functional theory (DFT), Monte Carlo (MC), and molecular dynamics (MD) simulations. …”
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1076
A robust implicit Jungck iterative scheme: stability, data dependency, and applications to nonlinear integral equations
Published 2025-06-01“…By refining and extending recent developments in fixed-point and coincidence-point theory, this study provides a robust framework for solving complex nonlinear problems.…”
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1077
Harmonizer: A Universal Signal Tokenization Framework for Multimodal Large Language Models
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1078
Experience in modeling inclined cracks in materials with cubic crystal structure
Published 2023-12-01“…Continuum distributions are obtained from the theoretical solution of the problem of determining the stress-strain state at the crack tip, based on the methods of the elasticity theory of anisotropic media and the subsequent decomposition of complex potentials by eigenfunctions. …”
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1079
Discriminative learning of receptive fields from responses to non-Gaussian stimulus ensembles.
Published 2014-01-01“…The classification-based receptive field (CbRF) estimation method proposed here adapts a linear large-margin classifier to optimally predict experimental stimulus-response data and subsequently interprets learned classifier weights as the neuron's receptive field filter. Computational learning theory provides a theoretical framework for learning from data and guarantees optimality in the sense that the risk of erroneously assigning a spike-eliciting stimulus example to the non-spike class (and vice versa) is minimized. …”
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1080
Magnetite particle size and spatial distribution may modulate neural oscillation in the human brain
Published 2025-07-01“…Using computational simulations and statistical analyses, we investigated how the magnetic properties of these nanoparticles might interact with or influence neural activity. …”
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