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|a 9783030205188
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|a Rojas, Ignacio
|e [editor]
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|a Advances in Computational Intelligence
|h Elektronische Ressource
|b 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II
|c edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala
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|a 1st ed. 2019
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|a Cham
|b Springer International Publishing
|c 2019, 2019
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|a XXX, 926 p. 517 illus., 306 illus. in color
|b online resource
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|a Deep learning beyond convolution -- Artificial neural network for biomedical image processing -- Machine learning in vision and robotics -- System identification, process control, and manufacturing -- Image and signal processing -- Soft computing -- Mathematics for neural networks -- Internet modeling, communication and networking -- Expert systems -- Evolutionary and genetic algorithms -- Advances in computational intelligence -- Computational biology and bioinformatics
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|a Computer Communication Networks
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|a Bioinformatics
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|a Computational and Systems Biology
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|a Computer vision
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|a Artificial Intelligence
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|a Algorithms
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|a Computer Vision
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|a Computer networks
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|a Data protection
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|a Artificial intelligence
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|a Data and Information Security
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|a Joya, Gonzalo
|e [editor]
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|a Catala, Andreu
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Theoretical Computer Science and General Issues
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|a 10.1007/978-3-030-20518-8
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|u https://doi.org/10.1007/978-3-030-20518-8?nosfx=y
|x Verlag
|3 Volltext
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|a 570.113
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|a 570.285
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|a This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control,and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics
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