Atjaunināt sīkdatņu piekrišanu

Applications of Computational Intelligence: 5th IEEE Colombian Conference, ColCACI 2022, Cali, Colombia, July 2729, 2022, Revised Selected Papers 1st ed. 2023 [Mīkstie vāki]

  • Formāts: Paperback / softback, 129 pages, height x width: 235x155 mm, weight: 232 g, 65 Illustrations, color; 16 Illustrations, black and white; XI, 129 p. 81 illus., 65 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1746
  • Izdošanas datums: 31-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031297822
  • ISBN-13: 9783031297823
  • Mīkstie vāki
  • Cena: 60,29 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 70,94 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 129 pages, height x width: 235x155 mm, weight: 232 g, 65 Illustrations, color; 16 Illustrations, black and white; XI, 129 p. 81 illus., 65 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1746
  • Izdošanas datums: 31-Mar-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031297822
  • ISBN-13: 9783031297823
?This book constitutes the refereed proceedings of the 5th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022, held in Cali, Colombia during July 27–29, 2022.

The 7 extended papers included in this book were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: ?Design of a segmentation and classification system for seed detection based on pixel intensity thresholds and convolutional neural networks.
Design of a segmentation and classification system for seed detection based on pixel intensity thresholds and convolutional neural networks.- Classification of Focused Perturbations Using Time-Variant Functional Connectivity with rs-fmri.- Escherichia coli: Analysis of Features for Protein Localization Classification employing Fusion Data.- Artificial Bee Colony-Based Dynamic Sliding Mode Controller for Integrating Processes with Inverse Response and Deadtime.- Optimizing a Dynamic Sliding Mode Controller with Bio-Inspired Methods: A Comparison.- A robust controller based on LAMDA and Smith Predictor applied to a system with dominant time delay.- Recursive neural networks tuned with a genetic algorithm for the prediction of the Bancolombia stock.