Titlebook: Space Fostering African Societies; Developing the Afric Annette Froehlich Book 2022 The Editor(s) (if applicable) and The Author(s), under

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Trigger-Point

ments on PSO with tabu search algorithm. Then we parallelize our method with MPI (PCCPSO). To demonstrate the validity, we compare our method with adjoint-based method, SAEP and PCAGA in ZC model. Experimental results of CNOP magnitudes and patterns show PCCPSO has the satisfactory results that are

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Amaro Joao,Zolana Joaond other dimensional reduction techniques to learn relevant representations of the data in order to increase the quality of the clustering model..In this paper, we propose an hybrid framework with a deep learning model called stacked denoising autoencoder (SDAE), the SVD and Diffusion Maps to learn

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Mohammed Oludare Idrees,Dahir Muazu Omar,Ayo Babalola,Abdulganiyu Yusuf,Folaranmi Dapo Babalola,Kennnd other dimensional reduction techniques to learn relevant representations of the data in order to increase the quality of the clustering model..In this paper, we propose an hybrid framework with a deep learning model called stacked denoising autoencoder (SDAE), the SVD and Diffusion Maps to learn

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Taoufik Hermassi,Ahmed Ezzine,Khalil Abidi,Sinan Bacha,El Hadi Gashutnd other dimensional reduction techniques to learn relevant representations of the data in order to increase the quality of the clustering model..In this paper, we propose an hybrid framework with a deep learning model called stacked denoising autoencoder (SDAE), the SVD and Diffusion Maps to learn

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Ayomide Adeife Jide-Omolend other dimensional reduction techniques to learn relevant representations of the data in order to increase the quality of the clustering model..In this paper, we propose an hybrid framework with a deep learning model called stacked denoising autoencoder (SDAE), the SVD and Diffusion Maps to learn

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Airtight

Nicolas Ringas constructed a fully empirical risk estimate that approximates the actual risk well. We then observed that, by applying the risk estimate as a model selection criterion, LASSO with scaling tends to obtain a model with low risk and high sparsity compared to LASSO without scaling.

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Angola Space Strategy,. Moreover, the orbital failure of ANGOSAT-1 and how it was overcome is discussed. We implemented a wide-range capacity-building program, training Angolan specialists at some of the best universities globally as well as with some of the best satellite companies in the region and of the world. Within

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