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Advances in Computational Intelligence: Lecture Notes in Computer Science, cartea 16009

Editat de Ignacio Rojas, Gonzalo Joya, Andreu Català
en Limba Engleză Paperback – 30 sep 2025
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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Specificații

ISBN-13: 9783032027276
ISBN-10: 3032027276
Pagini: 671
Ilustrații: XXVIII, 671 p. 219 illus., 190 illus. in color.
Dimensiuni: 155 x 235 mm
Editura: Springer Verlag GmbH
Seria Lecture Notes in Computer Science


Cuprins

Bio-inspired Computing.- E-Health and Computational Biology.- Human Computer Interaction.- Image and Signal Processing.- Mathematics for Neural Networks.- Self-organizing Networks.- Spiking Neurons.- Artificial Neural Networks in Industry ANNI'17.- Computational Intelligence Tools and Techniques for Biomedical Applications.- Assistive Rehabilitation Technology.- Computational Intelligence Methods for Time Series.- Machine Learning Applied to Vision and Robotics.- Human Activity Recognition for Health and Well-Being Applications.- Software Testing and Intelligent Systems.- Real World Applications of BCI Systems.- Machine Learning in Imbalanced Domains.- Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles.- End-User Development for Social Robotics.- Artificial Intelligence and Games.- Supervised, Non-Supervised, Reinforcement and Statistical Algorithms.  

Caracteristici

Includes supplementary material: sn.pub/extras