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  1. Evolving Systems is a scientific journal focusing on continuous, adaptive machine learning and dynamically evolving AI systems. Devoted to self-learning, self-developing, self-organized, and evolving AI systems. Covers original, methodological, and application-oriented papers.

  2. Evolving Systems covers surveys, methodological, and application-oriented papers in the area of dynamically evolving systems addressing continual (life-long) learning, open-set classification, self-learning and self-developing, self-evolving models and systems.

  3. Special section on Evolving and intelligent systems applications (pages: 199 - 316) and Special section on Adaptive Intelligent Systems for Learning, Control and Optimization (pages: 317 - 358) Issue 1 March 2020

  4. Sep 24, 2024 · Evolving Systems is a scientific journal focusing on continuous, adaptive machine learning and dynamically evolving AI systems. Devoted to self-learning, ...

  5. Use the equation editor or MathType for equations. Save your file in docx format (Word 2007 or higher) or doc format (older Word versions). Manuscripts with mathematical content can also be submitted in LaTeX. We recommend using Springer Nature’s LaTeX template.

  6. Mar 16, 2020 · Evolving Systems - Evolving systems unfolds from the interaction and cooperation between systems with adaptive structures, and recursive methods of machine learning. They construct models and...

  7. Evolving Systems is a scientific journal focusing on continuous, adaptive machine learning and dynamically evolving AI systems. Devoted to self-learning, ...

  8. Call for Papers: Future Directions in Evolving Systems: Flexibility, Autonomy, and Real-World Applications. Guest Editors: Igor Škrjanc, Pietro Ducange, Jose Antonio Iglesias Martínez & Rashmi Dutta Baruah. By Invitation Only | Deadline for submissions: 31 January 2025.

  9. Evolving Systems. An Interdisciplinary Journal for Advanced Science and Technology

  10. Nonlinear dynamic engineering processes modeling using a lyapunov-stability based novel locally connected recurrent pi-sigma neural network: design, simulation, and a comparative study. Rajesh Kumar.

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