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Titlebook: Distributed Computing and Artificial Intelligence, 15th International Conference; Fernando De La Prieta,Sigeru Omatu,Antonio Fernánd Confe

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樓主: misperceive
21#
發(fā)表于 2025-3-25 06:50:03 | 只看該作者
22#
發(fā)表于 2025-3-25 10:09:47 | 只看該作者
https://doi.org/10.1007/978-3-031-32859-6ions in unimodal and multimodal single objective optimization problems. The results indicate that the incorporation of the v-shaped family of transfer functions in the Binary Bat Algorithm significantly outperforms previous methods in this domain.
23#
發(fā)表于 2025-3-25 13:00:53 | 只看該作者
24#
發(fā)表于 2025-3-25 16:16:06 | 只看該作者
Brian Morris,Peggy Crane,Klaus Boehmo nonenaar. Using a special sampling box, we train the smell sensing data such that each of those smells could be classified into true smell using LVQ. After that, we develop a hardware (Kunkun body) to classify various smell data into each smell.
25#
發(fā)表于 2025-3-25 22:42:14 | 只看該作者
Brian Morris,Peggy Crane,Klaus Boehmf generating the distributed representation of sentences by using an autoencoder based on bi-directional long short-term memory (BiLSTM). To obtain the information and findings that necessary to generate effective representations, the computational experiments are carried out.
26#
發(fā)表于 2025-3-26 02:33:58 | 只看該作者
Brian Morris,Peggy Crane,Klaus Boehm through which it was populated with historical data from a relational warehouse. The degree of parallelization on the data ingestion tasks and its effect on performance were evaluated for the different kinds of datasets that are currently being used for batch data processing.
27#
發(fā)表于 2025-3-26 08:12:36 | 只看該作者
28#
發(fā)表于 2025-3-26 09:49:22 | 只看該作者
Hand Gesture Detection with Convolutional Neural Networks,n Neural Networks with different topologies (testing different input sizes, weight initialization, and data augmentation process). In our experiments, we have obtained high accuracies both in localization (96%–100%) and in recognition (99.45%) with Networks that are appropriate to be ported to mobile devices.
29#
發(fā)表于 2025-3-26 13:06:29 | 只看該作者
30#
發(fā)表于 2025-3-26 19:06:20 | 只看該作者
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