Mata-Rivera / Zagal-Flores / Barria-Huidobro | Telematics and Computing | E-Book | sack.de
E-Book

E-Book, Englisch, Band 1280, 442 Seiten, eBook

Reihe: Communications in Computer and Information Science

Mata-Rivera / Zagal-Flores / Barria-Huidobro Telematics and Computing

9th International Congress, WITCOM 2020, Puerto Vallarta, Mexico, November 2–6, 2020, Proceedings
1. Auflage 2020
ISBN: 978-3-030-62554-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

9th International Congress, WITCOM 2020, Puerto Vallarta, Mexico, November 2–6, 2020, Proceedings

E-Book, Englisch, Band 1280, 442 Seiten, eBook

Reihe: Communications in Computer and Information Science

ISBN: 978-3-030-62554-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



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.

Mata-Rivera / Zagal-Flores / Barria-Huidobro Telematics and Computing jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


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.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.