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Applied Informatics and Cybernetics in Intelligent Systems : Proceedings of the 9th Computer Science On-line Conference 2020, Volume 3 / edited by Radek Silhavy.
Springer Nature - Springer Intelligent Technologies and Robotics eBooks 2020 English International Available online
View online- Format:
- Book
- Series:
- Advances in Intelligent Systems and Computing, 2194-5365 ; 1226
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Computational Intelligence.
- Artificial Intelligence.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (649 pages) : illustrations.
- Edition:
- 1st ed. 2020.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- Summary:
- This book gathers the refereed proceedings of the Applied Informatics and Cybernetics in Intelligent Systems Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Modern cybernetics and computer engineering in connection with intelligent systems are an essential aspect of ongoing research. This book addresses these topics, together with automation and control theory, cybernetic applications, and the latest research trends.
- Contents:
- Analysis and verification of the quality of the structural elements of a Bulgarian national embroidery information system
- Implementing Sticky Bit Generators Based on FPGA Carry-Chains for Floating-Point Adders
- Hardware realization of GMSK System using Pipelined CORDIC module on FPGA.-Actor-Network Method of Assembling Intelligent Logistics Terminal
- A Framework to Enhance ICT Security through Education, Training & Awareness (ETA) programmes in South African Small, Medium and Micro-sized Enterprises (SMMEs): A Scoping Review
- Development of the pattern recognition theory for solv-ing the tasks of object classification and yard processes
- The ARCS Security Framework
- The Improvement of the Stylometry-Based Cognitive Assistant Performance in Conditions of Big Data Analysis
- A Peer-to-Peer Crowdsourcing Platform for the Labeled Datasets Forming.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 3-030-51974-0
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