E-Book, Englisch, Band 11484, 255 Seiten, eBook
Miani / Camargos / Zarpelão Green, Pervasive, and Cloud Computing
1. Auflage 2019
ISBN: 978-3-030-19223-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
14th International Conference, GPC 2019, Uberlândia, Brazil, May 26–28, 2019, Proceedings
E-Book, Englisch, Band 11484, 255 Seiten, eBook
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-030-19223-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Machine Learning.- Evaluating the Four-way Performance Trade-off for Stream Classification.- Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence.- U-control Chart based Differential Evolution Clustering for Determining the Number of Cluster in k-Means.- A Distributed Algorithm for Scalable Fuzzy Time Series.- Internet of Things and Mobility.- Mobility Aware RPL (MARPL): Mobility to RPL on Neighbor Variability.- A Method Based on Dispersion Analysis for Data Reduction in WSN.- Autonomic IoT Battery Management with Fog Computing.- Evaluating Post-Quantum Signatures for IoT devices.- Performance Analysis of a System for Vehicle Identification using LoRa and RFID.- Automating Mockup-based Usability Testing on the Mobile Device.- Cloud and Related Technologies.- Network and Cloudlet Selection for Computation Offloading on a Software-Defined Edge Architecture.- Cloud Computing Adoption in the Government Sector in Brazil: An Exploratory Study with Recommendations from IT Managers.- Dynamic Resource Allocation in Hybrid Mobile Cloud Computing for Data-Intensive Applications.- A Multi-Device Cloud-based Personal Event Management System.- CNTC: A Container Aware Network Traffic Control Framework.- BlockP2P: Enabling Fast Blockchain Broadcast with Scalable Peer-to-Peer Network Topology.- AutoCVSS: An Approach for Automatic Assessment of Vulnerability Severity Based on Attack Process.