Detecting network anomalies is critical for wireless network security and reliability. Traditional AI methods often require substantial computational resources, particularly when deployed on cloud servers, leading to ...
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Biometric authentication methods generally rely on centralized authority such as centralized database servers to store biometric templates and manage authentication. These methods suffer from different points of attac...
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Hypervolume optimal μ-distribution is the distribution of μ solutions maximizing the hypervolume indicator of μ solutions on a specific Pareto front. Most studies have focused on simple Pareto fronts such as triang...
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The hypervolume-based multi-objective evolutionary algorithms (HV-MOEAs) have proven to be highly effective in solving multi-objective optimization problems. However, the computation time of the hypervolume calculatio...
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Although deep convolutional neural networks have achieved satisfactory performance in many medical image segmentation tasks, a considerable annotation challenge still needs to be solved, which is expensive and time-co...
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Image forgery localization (IFL) is a crucial technique for preventing tampered image misuse and protecting social safety. However, due to the rapid development of image tampering technologies, extracting more compreh...
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In this paper,we develop an efcient and accurate procedure of electromagnetic multipole decomposition by using the Lebedev and Gaussian quadrature methods to perform the numerical ***,we briefy review the principles o...
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In this paper,we develop an efcient and accurate procedure of electromagnetic multipole decomposition by using the Lebedev and Gaussian quadrature methods to perform the numerical ***,we briefy review the principles of multipole decomposition,highlighting two numerical projection methods including surface and volume ***,we discuss the Lebedev and Gaussian quadrature methods,provide a detailed recipe to select the quadrature points and the corresponding weighting factor,and illustrate the integration accuracy and numerical efciency(that is,with very few sampling points)using a unit sphere surface and regular *** the demonstrations of an isotropic dielectric nanosphere,a symmetric scatterer,and an anisotropic nanosphere,we perform multipole decomposition and validate our numerical projection *** obtained results from our procedure are all consistent with those from Mie theory,symmetry constraints,and fnite element simulations.
Male sexual behavior is an innate social behavior crucial for reproduction[1].Previous studies have identified several brain regions crucial for the control of both sexual and aggressive behaviors in ***,molecularly s...
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Male sexual behavior is an innate social behavior crucial for reproduction[1].Previous studies have identified several brain regions crucial for the control of both sexual and aggressive behaviors in ***,molecularly specified neural circuits that specifically control male sexual behavior remain *** with the inherently rewarding nature of sexual behavior,previous research has implicated the role of the dopamine system in regulating sexual desire[2].However,the interaction between reward and copulation at the circuit level remains largely ***,it is unclear if the associated neural pathways are specific in modulating sexual reward.
Exhibiting appropriate social behavior toward conspecifics is crucial for survival within a social *** instance,after a conflict,it is essential for the loser to stay away from the victor to avoid further harm[1].Prev...
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Exhibiting appropriate social behavior toward conspecifics is crucial for survival within a social *** instance,after a conflict,it is essential for the loser to stay away from the victor to avoid further harm[1].Previous studies have indicated that the anterior ventrolateral part of the ventromedial hypothalamus(aVMHvl)plays a pivotal role in social fear and avoidance following a social ***,the precise mechanisms through which the aVMHvl effectively transforms social defeat to subsequent behavioral changes in social interaction remain largely unknown.
In evolutionary multi-objective optimization (EMO), one important issue is to efficiently remove dominated solutions from a large number of solutions examined by an EMO algorithm. An efficient approach to remove domin...
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