03089nam 2200481 450 99654794870331620230731000258.09783031297830(electronic bk.)978303129782310.1007/978-3-031-29783-0(MiAaPQ)EBC7231690(Au-PeEL)EBL7231690(OCoLC)1374947216(DE-He213)978-3-031-29783-0(PPN)269094180(EXLCZ)992638821350004120230731d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApplications of computational intelligence 5th IEEE Colombian conference, ColCACI 2022, Cali, Colombia, July 27-29, 2022, revised selected papers /Alvaro David Orjuela-Cañón [and three others]1st ed. 2023.Cham, Switzerland :Springer Nature Switzerland AG,[2023]©20231 online resource (xi, 129 pages) illustrationsCommunications in Computer and Information Science,1865-0937 ;1746Print version: Orjuela-Cañón, Alvaro David Applications of Computational Intelligence Cham : Springer International Publishing AG,c2023 9783031297823 Includes bibliographical references and index.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.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.Communications in Computer and Information Science,1865-0937 ;1746Computational intelligenceCongressesComputational intelligence006.3Orjuela-Cañón Alvaro David1379031MiAaPQMiAaPQMiAaPQ996547948703316Applications of computational intelligence3418498UNISA