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9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26-27, 2020, Proceedings

"Context-Aware Systems and Applications, and Nature of Computation and Communication" was published by Springer International Publishing AG in 2021 - Cham, it has 1 pages and the language of the book is English.


“Context-Aware Systems and Applications, and Nature of Computation and Communication” Metadata:

  • Title: ➤  Context-Aware Systems and Applications, and Nature of Computation and Communication
  • Authors:
  • Language: English
  • Number of Pages: 1
  • Publisher: ➤  Springer International Publishing AG
  • Publish Date:
  • Publish Location: Cham

“Context-Aware Systems and Applications, and Nature of Computation and Communication” Subjects and Themes:

Edition Specifications:

  • Weight: 0.539
  • Pagination: xi, 339

Edition Identifiers:

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"Context-Aware Systems and Applications, and Nature of Computation and Communication" Description:

Open Data:

Intro -- Preface -- Conference Committees for ICCASA and ICTCC 2020 -- Contents -- Context Aware Systems and Applications -- Formal Verification of Multi-agent Plans for Vehicle Platooning -- 1 Introduction -- 2 Related Work -- 3 Multi-mode System -- 4 A Language for Cooperative InteractiveAgents -- 4.1 ALICA Syntax -- 4.2 ALICA Semantics -- 5 Uppaal Model and Platooning Verification -- 5.1 Uppaal Model -- 5.2 Platooning Verification -- 6 Conclusion and Future Work -- References -- Contextual Defeasible Reasoning Framework for Heterogeneous Systems -- 1 Introduction -- 2 Preliminaries -- 2.1 Multi-Context System -- 2.2 Contextual Defeasible Logic (CDL) -- 3 Contextualizing Semantic Knowledge Sources -- 4 Contextual Defeasible Reasoning Based Multi-agent Formalism -- 5 Case Study: Prototypal Implementation of the System -- 6 Related Work -- 7 Conclusion -- References -- Abnormality Bone Detection in X-Ray Images Using Convolutional Neural Network -- 1 Introduction -- 2 Related Work -- 3 Deep Learning Architecture for Detecting Abnormalities in Bone Images -- 3.1 Data Preprocessing and Normalizing -- 3.2 The Proposed Convolutional Neural Network Architecture -- 3.3 Tools -- 4 Experiments -- 4.1 Dataset Description -- 4.2 Evaluation Metrics -- 4.3 Experimental Scenarios -- 5 Conclusion -- 5.1 Results -- 5.2 Discussion -- References -- Statistical Properties and Modelling of DDoS Attacks -- Abstract -- 1 Introduction -- 2 DDoS Attacks Detection -- 2.1 TCP SYN Flooding Attack -- 2.2 DDoS Attack Detection Using IP Address -- 3 DDoS Attack Modelling -- 3.1 Datasets Used for Modelling -- 3.2 Probability Distribution Functions for DDoS Attack Detection (Modelling) -- 3.3 Synthetic Network Traffic Modelling -- 4 Implementation Results and Discussions -- 5 Conclusion and Future Work -- References

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