Adaptive Embedded Systems

Adaptive Embedded Systems is a class of embedded systems that dynamically adjust their hardware and software configurations in response to changing operational environments, application demands, or resource constraints, distinguishing itself from static and pre-defined embedded architectures by enabling runtime adaptability to optimize performance, energy efficiency, and functionality.

48

Publications

1.4K

Citations

159

Authors

70

Institutions

Publications per year

2017–2026

4

Authors

159

  1. AJ
    Axel Jantsch

    KTH Royal Institute of Technology, Sweden

    3 publications · 58 citations

    3

    h-index

  2. IS
    Ina Schaefer

    Technische Universität Braunschweig, Germany

    3 publications · 76 citations

    3

    h-index

  3. AP
    Arnd Poetzsch‐Heffter

    University of Kaiserslautern, Germany

    3 publications · 76 citations

    3

    h-index

  4. IS
    Ingo Sander

    KTH Royal Institute of Technology, Sweden

    3 publications · 58 citations

    3

    h-index

  5. DS
    Deepti Srivastava

    Carnegie Mellon University, United States

    2 publications · 90 citations

    2

    h-index

1–5 of 159

Venues

  1. ACM Transactions on Embedded Computing Systems

    TECS · 2 publications · 54 citations

    2

    h-index

  2. 2

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 53 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5