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Titlebook: Soft Computing in Interdisciplinary Sciences; S. Chakraverty Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive li

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11#
發(fā)表于 2025-3-23 12:46:23 | 只看該作者
Type-2 Fuzzy Linear Eigenvalue Problems with Application in Dynamic Structures,zzy numbers (triangular perfect QT2FNs) are used in this discussion. Four parameters are utilized to solve the problem in parametric form. In general, dynamic structural problems lead to eigenvalue problems which may be linear or non-linear eigenvalue problem. The quantities involved in such type of
12#
發(fā)表于 2025-3-23 14:13:11 | 只看該作者
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發(fā)表于 2025-3-23 18:14:50 | 只看該作者
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發(fā)表于 2025-3-23 23:56:50 | 只看該作者
15#
發(fā)表于 2025-3-24 03:35:07 | 只看該作者
Uncertain Structural Parameter Identification by Intelligent Neural Training,ined from experiments are not always in crisp form; they may have some errors. The errors may be due to humans or equipment errors which give the uncertain form of data. Here, uncertainty has been taken as intervals. Hence, the present model is developed to handle these uncertainties. Our aim is to
16#
發(fā)表于 2025-3-24 08:59:54 | 只看該作者
Security Issues on IoT Communication and Evolving Solutions,ugh the communicating medium. IoT technology has become important for people to build smart systems upon the use of technology. Internet of things is realized by the idea of free flow of information among various low-power embedded devices that use the Internet to communicate with one another. In th
17#
發(fā)表于 2025-3-24 12:42:39 | 只看該作者
Causality and Its Applications,learning, leading the field of predictive analytics, base the certain case for causal analysis. Causal analysis supports the study of causes and effect as they are observed and their underneath relationship directing such trends, are analysed for predictive modelling. The relation in cause–effect pr
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發(fā)表于 2025-3-24 18:47:29 | 只看該作者
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發(fā)表于 2025-3-24 19:45:10 | 只看該作者
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發(fā)表于 2025-3-25 00:08:56 | 只看該作者
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