Chaos-Integrated Difference-Enhanced Greater Cane Rat Algorithm and Its Application. [PDF]
Biomimetics (Basel)Cheng Z, Cao L, Qiu Y, Yue Y.
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PRE-MULTISYMPLECTIC CONSTRAINT ALGORITHM FOR FIELD THEORIES [PDF]
, 2005 MANUEL DE LEÓN +4 more
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Advanced Materials Interfaces, EarlyView.This study establishes a dual‐channel optical metrology framework integrating phase‐shifting imaging ellipsometry and deep‐UV reflectance imaging. This label‐free approach enables simultaneous, time‐resolved mapping of film thickness and nanoparticle (NP) concentration in dynamic nanofluid thin films.
Eita Shoji +3 more
wiley +1 more source
A Decentralised Coordination Algorithm for Maximising Sensor Coverage in Large Sensor Networks
, 2010 In large wireless sensor networks, the problem of assigning radio frequencies to sensing agents such that no two connected sensors are assigned the same value (and will thus interfere with one another) is a major challenge.
Jennings, Nick +2 more
core
Multi-Strategy Improved Pied Kingfisher Optimizer for Solving Constrained Optimization Problems. [PDF]
Biomimetics (Basel)Bai H, Wu T, Luo J, Ta N.
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A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials
Advanced Materials Interfaces, EarlyView.Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav +2 more
wiley +1 more source
Non-linear Loop Invariant Generation Using Dxion Resultant
工程科学与技术, 2012 :To solve the partial correct problem of loop program, an algorithm was presented to generate non-linear loop invariant by computing Dixon resultant based on algebraic transition system and constraint system.
doaj
Extensible automated constraint modelling via refinement of abstract problem specifications
, 2015 Constraint Programming (CP) is a powerful technique for solving large-scale combinatorial (optimisation) problems. Constraint solving a given problem proceeds in two phases: modelling and solving. Effective modelling has an huge impact on the performance
Akgün, Özgür
core
Gradual spatial constraint feature selection for robust biomarker discovery in high-dimensional gene expression data. [PDF]
BMC BioinformaticsWang H, Ou X, Zhang W, Niu B.
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Multilevel Algorithms for Multi-Constraint Hypergraph Partitioning
, 1999 George Karypis
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