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Titlebook: Neugeborenen-Intensivpflege; Grundlagen und Richt Lutz Wille,Michael Obladen,Herbert E. Ulmer Book 19843rd edition Springer-Verlag Berlin H

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31#
發(fā)表于 2025-3-27 00:43:28 | 只看該作者
M. Obladentions. As a special form of neural networks, they have been attractive as a data mining tool because they are able to extract information from data even with very little user-intervention. However, although learning in self-organizing maps is considered unsupervised because training patterns do not
32#
發(fā)表于 2025-3-27 01:21:16 | 只看該作者
ught out the need for development of smart cities through incorporation of Internet of Things and other technologies in the planning of cities. Chennai, a city in India with a population size of 9.1 million and a vehicle pool of more than 3.7 million units, is in dire need of intelligent solutions t
33#
發(fā)表于 2025-3-27 06:29:21 | 只看該作者
M. Obladen,L. Willes a simple structure and has been applied to numerous problems in different fields of research. However, it has been found that it has poor exploration and exploitation capabilities. In this paper, to mitigate the problems of original FPA, a modified algorithm namely adaptive FPA (AFPA) has been pro
34#
發(fā)表于 2025-3-27 10:35:43 | 只看該作者
35#
發(fā)表于 2025-3-27 14:06:00 | 只看該作者
L. Willeeference for researchers and practitioners in academia and iThis two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and In
36#
發(fā)表于 2025-3-27 19:23:58 | 只看該作者
37#
發(fā)表于 2025-3-28 00:43:18 | 只看該作者
38#
發(fā)表于 2025-3-28 03:25:58 | 只看該作者
39#
發(fā)表于 2025-3-28 06:43:46 | 只看該作者
L. Willee variety of industrial, engineering and scientific applicatThis book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenge
40#
發(fā)表于 2025-3-28 11:21:55 | 只看該作者
L. Willed Joshimath has experienced a number of landslides in the recent past. Prior research has used a certain moving average and machine-learning (ML) algorithms to predict slope movements. However, a comparison of these methods for real-world slope movements has been less explored. The primary objective
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