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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1348545860
Art des Inhalts Konferenzschrift
Titel Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 27th Iberoamerican Congress, CIARP 2024, Talca, Chile, November 26–29, 2024, Proceedings, Part II / edited by Ruber Hernández-García, Ricardo J. Barrientos, Sergio A. Velastin
Person(en) Hernández-García, Ruber (Herausgeber)
Barrientos, Ricardo J. (Herausgeber)
Velastin, Sergio A. (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2025
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2025
Umfang/Format Online-Ressource, XVII, 276 p. 107 illus., 92 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-031-76603-9
Printed edition:: ISBN: 978-3-031-76605-3
Inhalt Unmasking Phishing Attempts A Study on Detection in Spanish Emails -- Comparative Analysis of Spatial and Spectral Methods in GNN for Power Flow in Electrical Power Systems -- An Effective Artificial Intelligence Pipeline for Automatic Manatee Count Using their Tonal Vocalizations -- Exploring Neural Joint Activity in Spiking Neural Networks for Fraud Detection -- Rethinking the Quality of Synthetic Palm Vein Images from Spectral Analysis -- An uncertainty driven ScaledYOLOv4 for open pit mining helmet detection -- A generative algorithm to compute NanoFingerprints -- Impact of agricultural production on climate change in South America comparative analysis between 1990 and 2020 -- VAVnets retinal vasculature segmentation in few shot scenarios -- Remote Sensing Based Precipitation Detection using Conditional GAN and Recurrent Neural Networks -- Data Driven Genetic Algorithm for the Optimization of Water Distribution Networks A New Surrogate Model for Estimating Investment and Operational Costs in Pumping Stations -- Gene Regulatory Network for the Tryptophanase operon under the Threshold Boolean Network Model -- Multilabel Classification of Intracranial Hemorrhages using Deep Learning and Preprocessing Techniques on Non Contrast CT Images -- Segmentation of Brain Tumor Parts from Multi Spectral MRI Records Using Deep Learning and U net Architecture -- Exploiting the Segment Anything Model (SAM) for Lung Segmentation in Chest X ray Images -- Predicting Next Phases of Multi-Stage Network Attacks A Comparative Study of Statistical and Deep Learning Models -- Improving Suicide Ideation Screening with Machine Learning and Questionnaire Optimization through Feature Analysis -- Aquila Optimizer for hyperparameter metaheuristic optimization in Extreme Learning Machine -- Mixture of LSTM Experts for Sales Prediction with Diverse Features
Persistent Identifier URN: urn:nbn:de:101:1-2411170309444.265517332224
DOI: 10.1007/978-3-031-76604-6
URL https://doi.org/10.1007/978-3-031-76604-6
ISBN/Einband/Preis 978-3-031-76604-6
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Computer Science ; 15369
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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