Innovative data communication technologies and application : ICIDCA 2019

• 作者： ICIDCA (Conference) (2019 : Tamil Nadu, India)
• 其他作者：
  • Raj, Jennifer S., editor.
  • Bashar, Abul, editor.
  • Ramson, S. R. Jino, editor.
  • SpringerLink (Online service)
• 其他題名：
  • ICIDCA 2019
  • Lecture notes on data engineering and communications technologies ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Lecture notes on data engineering and communications technologies,volume 46
• 主題： Artificial intelligence--Congresses. , Computer networks--Congresses. , Data Engineering. , Computational Intelligence. , Artificial Intelligence.
• ISBN： 9783030380403 (electronic bk.) 、 9783030380397 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: A Secure Identity-Based Three-Party Authenticated Key Agreement Protocol Using Bilinear Pairings -- Reliable Machine to Machine Communication using MQTT Protocol And Mean Stack -- Distributed Auction Mechanism for Dynamic Spectrum Allocation in Cognitive Radio Networks -- Implementation of Words and Characters Segmentation of Gujarati Script using MATLAB -- Robust Methods Using Graph and PCA for Detection of Anomalies in Medical Records -- Intelligent Educational System for Autistic Children using Augmented Reality and Machine Learning -- Smart Cane-An Aid for the Visually Challenged -- Discovering Patterns using Feature Selection Techniques and Correlation.
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• 摘要註: This book presents emerging concepts in data mining, big data analysis, communication, and networking technologies, and discusses the state-of-the-art in data engineering practices to tackle massive data distributions in smart networked environments. It also provides insights into potential data distribution challenges in ubiquitous data-driven networks, highlighting research on the theoretical and systematic framework for analyzing, testing and designing intelligent data analysis models for evolving communication frameworks. Further, the book showcases the latest developments in wireless sensor networks, cloud computing, mobile network, autonomous systems, cryptography, automation, and other communication and networking technologies. In addition, it addresses data security, privacy and trust, wireless networks, data classification, data prediction, performance analysis, data validation and verification models, machine learning, sentiment analysis, and various data analysis techniques.
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