Cybernetics And Mathematics Applications In Intelligent Systems


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Cybernetics and Mathematics Applications in Intelligent Systems


Cybernetics and Mathematics Applications in Intelligent Systems

Author: Radek Silhavy

language: en

Publisher: Springer

Release Date: 2017-04-07


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This book presents new methods for and approaches to real-world problems as well as exploratory research describing novel mathematics and cybernetics applications in intelligent systems. It focuses on modern trends in selected fields of technological systems and automation control theory. It also introduces new algorithms, methods and applications of intelligent systems in automation, technological and industrial applications. This book constitutes the refereed proceedings of the Cybernetics and Mathematics Applications in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017.

Computational and Statistical Methods in Intelligent Systems


Computational and Statistical Methods in Intelligent Systems

Author: Radek Silhavy

language: en

Publisher: Springer

Release Date: 2018-08-29


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This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.

System Design in Software Engineering


System Design in Software Engineering

Author: Radek Silhavy

language: en

Publisher: Springer Nature

Release Date: 2025-07-23


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This book offers a broad range of ideas from CoMeSySo 2024, highlighting theory and practice in modern computing. Researchers from diverse backgrounds present their latest findings on systems design, software engineering, and innovative problem-solving. Topics include new methods to improve modeling, testing, and optimization across various fields. The book also shows how data-driven approaches and well-structured architectures can increase reliability. These proceedings foster meaningful teamwork and shared learning by bringing together experts from many areas. Readers will gain insights into advanced techniques that can be adapted to real-world situations. Industry specialists, academic researchers, and students will benefit from the breadth of approaches. Case studies reveal common hurdles and present workable solutions for upcoming challenges. With a clear focus on advancement, this resource is an essential guide to the next steps in computational development.