Applications of computational intelligence 5th IEEE Colombian Conference, ColCACI 2022, Cali, Colombia, July 27-29, 2022, revised selected papers

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 Localizat...

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Körperschaft: IEEE ColCACI (VerfasserIn)
Weitere Verfasser: Arias-Londono, Julian David (HerausgeberIn), Figueroa-García, Juan Carlos (HerausgeberIn), Lopez, Jesus (HerausgeberIn), Orjuela-Canon, Alvaro David (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2023
Schriftenreihe:Communications in computer and information science 1746
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Zusammenfassung: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
Beschreibung:ix, 128 Seiten
Illustrationen, Diagramme
ISBN:9783031297823
978-3-031-29782-3