Telematics and Computing: 13th International Congress of Telematics and Computing, WITCOM 2024, Mazatlan, Mexico, November 4-8, 2024, Proceedings, Part II

by Miguel Félix Mata-Rivera (Editor), Roberto Zagal-Flores (Editor), Cristian Barria-Huidobro (Editor)

Overview

This two-volume set constitutes the refereed proceedings of the 13th International Conference on Telematics and Computing , WITCOM 2024, which took place in Mazatlan, Mexico, during November 4–8, 2024.

The 41 full papers presented in this volume were carefully reviewed and selected from 91 submissions. The papers focus on the topics of environment monitoring, information systems, IoT, education, artificial intelligence techniques, cybersecurity, data science, and energy, with applications to different case of study.

Product Details

ISBN-13:	9783031772924
Publisher:	Springer Nature Switzerland
Publication date:	11/27/2024
Series:	Communications in Computer and Information Science , #2250
Edition description:	2024
Pages:	317
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

.- Detection of pressure drops in pipelines for the transportation of hydrocarbons with a Hydraulic Method.

.- Communications link delay analysis for a swarm of UAVs using fading channel models.

.- Analysis of digital signal processing algorithms and their implementation in hardware and embedded software.

.- Compact Encryption Scheme Based On Cellular Automatas.

.- Artificial Vision Bottle Separator Machine.

.- Design of a parallel algorithm for the detection of classic facial expressions.

.- Generating Universum Instances from Variational Autoencoder Latent Space for Semi-Supervised Learning.

.- Analysis of the EfficientNet Architectures for Flower Classification.

.- Robustness evaluation of CNN models trained without backpropagation.

.- Geospatial raster data processing appliying neural networks.

.- Prototype application for Mexico City’s integrated mobility system, using the Dijkstra algorithm and developed in Flutter.

.- A hybrid simple filter-wrapper feature selection approach for microarray classification.

.- Multiclass classification of ECG signals using a LSTM network trained with spectral features.

.- Deep Learning-based Resource Utilization Prediction for Multi-Pod Applications in Kubernetes.

.- Embedded Electronic System for Sudden Infant Death Prevention in Crib Babies.

.- A Machine Learning Classification to Modeling Undocumented Migration from Mexico to the United States.

.- Variables monitoring system of NFT hydroponic strawberry cultivation.

.- Exploring Mexican Voting Intention through Spatiotemporal Trends using Social Media and Open

Data Analysis.

.- The Role of Generative Artificial Intelligence in Educational Innovation.

.- Analysis of Emotion Recognition Methods: A Systematic Mapping of the Literature.