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Titlebook: Computational Science – ICCS 2023; 23rd International C Ji?í Miky?ka,Clélia de Mulatier,Peter M.A. Sloot Conference proceedings 2023 The Ed

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31#
發(fā)表于 2025-3-26 23:00:57 | 只看該作者
Asimananda Khandual,Sanjay Sahutions accompanying the video oculography, conducting oculometric measurements based on different test models, estimating eye movement (EM) angles and detecting EM type in the stream of coordinates, and calculating its parameters. We based our architecture on neural networks (NN), machine-learning (M
32#
發(fā)表于 2025-3-27 02:26:38 | 只看該作者
33#
發(fā)表于 2025-3-27 05:56:28 | 只看該作者
34#
發(fā)表于 2025-3-27 11:20:55 | 只看該作者
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發(fā)表于 2025-3-27 17:20:50 | 只看該作者
36#
發(fā)表于 2025-3-27 19:31:23 | 只看該作者
978-3-031-36023-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
37#
發(fā)表于 2025-3-28 01:42:27 | 只看該作者
Conference proceedings 2023ague, Czech Republic, during July 3-5, 2023...The total of 188 full papers and 94 short papers presented in this book set were carefully reviewed and selected from 530 submissions. 54 full and 37 short papers were accepted to the main track; 134 full and 57 short papers were accepted to the workshop
38#
發(fā)表于 2025-3-28 05:48:36 | 只看該作者
Carme Moreno-Gavara,Ana Isabel Jiménez-Zarco different layers depending on the social circle. Afterwards, we extend the model with more components that are known to influence opinions, e.g. authority or openness to new views. These two models are then compared to show that only sole conformism leads to opinion convergence.
39#
發(fā)表于 2025-3-28 06:39:46 | 只看該作者
Sustainability Sciences in Asia and Africa preliminary outcomes of a feasibility study on machine learning techniques for risk stratification of DFU formation. Our findings highlight the importance of considering patient history, and allow us to identify biomarkers which are important for risk classification.
40#
發(fā)表于 2025-3-28 10:45:22 | 只看該作者
Traceability: The Respect-Code Solutionnsive computational experiment. The experiment involved multiclass imbalanced datasets from the Keel imbalanced datasets repository. Experiment results allowed to select best performing balancing agents using statistical tools.
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