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Titlebook: New Advances in Intelligent Signal Processing; António E. Ruano,Annamária R. Várkonyi-Kóczy Book 20111st edition Springer-Verlag Berlin He

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樓主: 古生物學
21#
發(fā)表于 2025-3-25 04:37:04 | 只看該作者
22#
發(fā)表于 2025-3-25 08:54:42 | 只看該作者
Pedro M. Ferreira,António E. Ruanoand perspectives, including geoengineering, corporate transformation, and changes in agricultural policy, that could put us on the path to prosperity without diminishing the well-being of future generations. If these approaches fall short, the final chapters explore ways to prepare for drastic envir
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發(fā)表于 2025-3-25 13:16:27 | 只看該作者
Fabrizio Russoors analyze a variety of trends and proposals, including regional and local climate initiatives, the rise of benefit corporations and worker-owned firms, the need for energy democracy, the Internet’s impact on sustainability, and the importance of eco-literacy. A consistent thread throughout the boo
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發(fā)表于 2025-3-25 16:58:39 | 只看該作者
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發(fā)表于 2025-3-25 23:41:39 | 只看該作者
Formulation of Fuzzy Random Regression Model, problem which consists of fuzzy numbers or interval numbers. Since sign-changes in the fuzzy coefficients modify the entire programming structure of the solution process, the inherent dynamic non-linearity of this optimization makes it hard to exploit the techniques of linear programming or classic
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發(fā)表于 2025-3-26 01:18:46 | 只看該作者
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發(fā)表于 2025-3-26 07:51:14 | 只看該作者
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發(fā)表于 2025-3-26 20:29:38 | 只看該作者
Formulation of Fuzzy Random Regression Model,ty, real data cannot be characterized by using only the formalism of random variables..To address regression problems in presence of such hybrid uncertain data, fuzzy random variables are introduced in this study, and serve as an integral component of regression models. A new class of fuzzy regressi
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