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Changchun Li and Chengxiang Hu
In multigranulation environments, variable precision multigranulation rough set (VPMGRS) is a useful framework that has a tolerance for errors. Approximations are basic concepts for knowledge acquisition and attribute reductions. Accelerating update of a...
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Siyuan Xing and Jian-Qiao Sun
The Gaussian-radial-basis function neural network (GRBFNN) has been a popular choice for interpolation and classification. However, it is computationally intensive when the dimension of the input vector is high. To address this issue, we propose a new fe...
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Said M. Easa, Ahmed A. Lamri and Dejan Brkic
Numerous explicit approximations of the Colebrook equation have been developed and evaluated based on two criteria: prediction accuracy and computational efficiency. This paper introduces a new evaluation criterion based on the reliability of each equati...
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Wenbin Zheng, Jinjin Li and Shujiao Liao
Multi-label learning has become a hot topic in recent years, attracting scholars? attention, including applying the rough set model in multi-label learning. Exciting works that apply the rough set model into multi-label learning usually adapt the rough s...
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Prateek Saurabh Srivastav, Lan Chen and Arfan Haider Wahla
Channel estimation is a formidable challenge in mmWave Multiple Input Multiple Output (MIMO) systems due to the large number of antennas. Therefore, compressed sensing (CS) techniques are used to exploit channel sparsity at mmWave frequencies to calculat...
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Karlheinz Schwarz
The routinely made assumptions for simulating solid materials are briefly summarized, since they need to be critically assessed when new aspects become important, such as excited states, finite temperature, time-dependence, etc. The significantly higher ...
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Sihmehmet Yildiz, Hayriye Pehlivan Solak and Melike Nikbay
Uncertainty quantification has proven to be an indispensable study for enhancing reliability and robustness of engineering systems in the early design phase. Single and multi-fidelity surrogate modelling methods have been used to replace the expensive hi...
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Christoph Kaiser and David Quero
Aeroelastic sensitivities for the flutter solution are a crucial component of the multi-disciplinary optimization methods employed in modern aircraft design. This paper derives the aeroelastic sensitivities for different aerodynamic damping approximation...
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Ravi P. Agarwal and Hans Agarwal
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Thinh Cao, Koichi Yamada, Muneyuki Unehara, Izumi Suzuki and Do Van Nguyen
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Ronald W. Butler and Marc S. Paolella
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Thomas Lartigue, Stanley Durrleman and Stéphanie Allassonnière
The Expectation Maximisation (EM) algorithm is widely used to optimise non-convex likelihood functions with latent variables. Many authors modified its simple design to fit more specific situations. For instance, the Expectation (E) step has been replace...
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Gerhard Hasslinger, Konstantinos Ntougias, Frank Hasslinger and Oliver Hohlfeld
We evaluate analysis results and approximations for the performance of basic caching methods, assuming independent requests. Compared with simulative evaluations, the analysis results are accurate, but their computation is tractable only within a limited...
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Eleonora Dallan, Andrea Bottacin-Busolin, Mattia Zaramella and Andrea Marion
Solute transport in rivers is controlled by mixing processes that occur over a wide spectrum of spatial and temporal scales. Deviations from the classic advection?dispersion model observed in tracer test studies are known to be generated by the temporary...
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Michel Darmon, Vincent Dorval and François Baqué
This paper proposes a brief review of acoustic wave scattering models from rough surfaces. This review is intended to provide an up-to-date survey of the analytical approximate or semi-analytical methods that are encountered in acoustic scattering from r...
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Natalia N. Vitokhina,Yuriy P. Virchenko,Natalya A. Zinchenko,Natalya N. Mot?kina,Vladimir A. Esin,Anna N
In the article authors develop an approach to calculating the statistic development probability for composite functions of square values in Gaussian casual process trajectories. Calculating distribution density for additive composite functions is based o...
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Chong Sun and Qin Sheng
This paper studies an effective finite difference scheme for solving two-dimensional Heston stochastic volatility option-pricing model problems. A dynamically balanced up-downwind strategy for approximating the cross-derivative is implemented and analyze...
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Francesca Vatta, Alessandro Soranzo, Massimiliano Comisso, Giulia Buttazzoni and Fulvio Babich
Low Density Parity Check (LDPC) codes are currently being deeply analyzed through algorithms that require the capability of addressing their iterative decoding convergence performance. Since it has been observed that the probability distribution function...
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Harold Bertot Triana
Pág. 11 - 40
El artículo analiza la Constitución cubana de 2019 desde una perspectiva histórica e ideológica con especial énfasis en su sistema político electoral. Después de brindar los fundamentos políticos e ideológicos de los modelos socialistas de Europa del Est...
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Hassen M. Ouakad and Jihad E. AlQasimi
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