- Systems | Open Access Journal | MDPI
Systems Systems is an international, peer-reviewed, open access journal on systems theory in practice, including fields such as systems engineering management, systems based project planning in urban settings, health systems, environmental management and complex social systems, published monthly online by MDPI
- Systems | Aims Scope - MDPI
Systems (ISSN 2079-8954) is an international, peer-reviewed journal on systems theory, practice and methodologies, including fields such as systems engineering, management, systems-based project planning, intelligent cities, intelligent planning, health systems, transportation systems, digital systems, environmental management, and complex
- Systems | Special Issues - MDPI
Special Issues Systems publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process The journal
- Editorial Board | Systems | MDPI
Interests: model-based systems engineering and integration; systems modeling, analysis, and design of cyber-physical systems and digital twins; algorithms and computational tools for energy-efficient building simulation; semantic approaches to distributed systems behavior modeling; machine learning algorithms for observation and modeling of
- Systems | Sections - MDPI
Systems, an international, peer-reviewed Open Access journal
- How systems thinking can solve air and water pollution
Urban air and water pollution is complex Cities must adopt systems thinking to tackle these challenges, boost equity and build long-term resilience
- Systems | Instructions for Authors - MDPI
Systems is a member of the Committee on Publication Ethics (COPE) We fully adhere to its Code of Conduct and to its Best Practice Guidelines The editors of this journal enforce a rigorous peer review process together with strict ethical policies and standards to ensure to add high quality scientific works to the field of scholarly publication
- Defining Complex Adaptive Systems: An Algorithmic Approach
Despite a profusion of literature on complex adaptive system (CAS) definitions, it is still challenging to definitely answer whether a given system is or is not a CAS The challenge generally lies in deciding where the boundaries lie between a complex system (CS) and a CAS In this work, we propose a novel definition for CASs in the form of a concise, robust, and scientific algorithmic
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