The majorizing measure theorem of Fernique and Talagrand is a fundamental result in the theory of random processes. It relates the boundedness of random processes indexed by elements of a metric space to complexity me...
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This paper proposes a scheme for a reflective dual-band line-to-circular polarizer (RLCP) that is more suitable for performance design based on expected requirements, in response to the application demands for high-fr...
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The objective of this work is to design, develop and demonstrate optimized fuzzy controllers for processes presenting nonlinearities such as coreless DC micromotors speed control problems, in order to improve the over...
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In wireless networks, utilizing sniffers for fault analysis, traffic traceback, and resource optimization is a crucial task. However, existing centralized algorithms cannot be applied to high-density wireless networks...
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Quantum Computing is a fastly growing area with many applications, including quantum machine learning (QML). Due to the rapid increase of computational power, machine learning models based on artificial neural network...
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Spectral efficiency has become increasingly important in the modern congested spectral environment. Directional modulation multiplexing helps by using spatial diversity to transmit different messages in different dire...
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Machine learning, a vital part of artificial intelli-gence, improves our ability to make predictions from complex data. The success of these predictions relies heavily on the model's fit with its data and the data...
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In recent years,with the increasing demand for social production,engineering design problems have gradually become more and more *** novel and well-performing meta-heuristic algorithms have been studied and developed ...
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In recent years,with the increasing demand for social production,engineering design problems have gradually become more and more *** novel and well-performing meta-heuristic algorithms have been studied and developed to cope with this *** them,the Spherical Evolutionary Algorithm(SE)is one of the classical representative methods that proposed in recent years with admirable optimization ***,it tends to stagnate prematurely to local optima in solving some specific ***,this paper proposes an SE variant integrating the Cross-search Mutation(CSM)and Gaussian Backbone Strategy(GBS),called *** this study,the CSM can enhance its social learning ability,which strengthens the utilization rate of SE on effective information;the GBS cooperates with the original rules of SE to further improve the convergence effect of *** objectively demonstrate the core advantages of CGSE,this paper designs a series of global optimization experiments based on IEEE CEC2017,and CGSE is used to solve six engineering design problems with *** final experimental results fully showcase that,compared with the existing well-known methods,CGSE has a very significant competitive advantage in global tasks and has certain practical value in real ***,the proposed CGSE is a promising and first-rate algorithm with good potential strength in the field of engineering design.
The Proper Orthogonal Decomposition (POD) is a technique that extracts a set of mutually orthogonal spatiotemporal modes from a dataset of interest;these modes can then be used for analysis of the underlying dynamics ...
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Gaussian beamlets are generated simultaneously around a perfect vortex envelope, each with a unique frequency corresponding to its specific location around the envelope with an overall OAM encoded across the array. Th...
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