Telematics and computing : 9th International Congress, WITCOM 2020, Puerto Vallarta, Mexico, November 2-6, 2020, proceedings / Miguel Félix Mata-Rivera, Roberto Zagal-Flores, Cristian Barria-Huidobro (editors).

1st ed. 2020.
  • Cham, Switzerland : Springer, [2020]
  • ©2020
1 online resource (XIV, 442 p. 263 illus., 186 illus. in color.)


Summary note
This book constitutes the thoroughly refereed proceedings of the 9th International Congress on Telematics and Computing, WITCOM 2020, held in Puerto Vallarta, Mexico, in November 2020. Due to the COVID-19 pandemic the conference was held online. The 28 full papers and 3 short papers in this volume were carefully reviewed and selected from 79 submissions. The papers are focused on the topics of deep and machine learning, cybersecurity, wireless networks, computer vision, communications, and education applied to different sceneries of study and COVID-19.
Source of description
Description based on print version record.
  • Deep Learning Systems for Automated Segmentation of Brain Tissues and Tumors in RMIs
  • Tri-Band Log -Periodic Microstrip Antenna Design (2.4, 5.5 and 3.6 GHz Bands) for Wireless Mobile Devices Application
  • Computer Vision Navigation System for an Indoors Unmanned Aerial Vehicle
  • Embedded human detection system for home security
  • File Restore Automation with Machine Learning
  • Open educational resource in responsible, ethical, aesthetic and functional learning of surgical procedures that require management of incisions and sutures
  • On the computation of optimized trading policies using deep reinforcement learning
  • High data rate efficiency improvement via variable length coding for LoRaWAN
  • Design Of A Watt Mechanism With Crossed Axes
  • Learning Analytics In M-Learning: Periodontic Education
  • Evaluation of a machine vision system applied to quality control in a liquid filling, lid and labeling line
  • An Approach for Development and Testing a Reliable Speedometer Software for Speed Competitions on Motorsport
  • Offline optimum tuning of the Proportional Integral controller for speed regulation of a BLDC Motor through bio-inspired algorithms
  • Reinforcement Learning Applied to Hexapod Robot Locomotion: An Overview
  • Lockdown or unlock in COVID-19 disease? A Reinforcement Learning approach
  • Cybersecurity analysis on PACS-DICOM servers in Chile
  • Experimental Based-Analisis of the Optimal Transmission Thresholds for WSNs in Noisy Channels
  • A Parallel Rollout Algorithm for Wildfire Suppression
  • Safety Instructions In A Virtual Machining Process: The use of motion capture to develop a VR App for Industrial Safety Purposes
  • The Effect of Bilateral Filtering in 3DReconstruction Using PSP
  • Regulation of a Van der Pol Oscillator using Reinforcement Learning
  • Flow Velocity Estimation by Means Multi-Layer Perceptron in a Pipeline
  • Evolution of COVID-19 patients in Mexico City using Markov Chains
  • Design and Development of Photovoltaic Power Automatic System
  • Availability Vulnerabilities Evaluation to LoRaWAN
  • LoRa and LoRaWAN Protocol Analysis using Cupcarbon
  • Machine Learning Security Assessment Method based on Adversary and Attack Methods
  • A Novel Approach for Ensemble Feature Selection using Clustering with Automatic Threshold
  • Fuzzy logic-based COVID-19 pre-clinical diagnosis system
  • A Review of the Security Information Controls in Wireless Networks Wi-Fi
  • Local Tours Recommendation applying Machine Learning in Social Networks.
  • 10.1007/978-3-030-62554-2
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...
Other views
Staff view

Supplementary Information