Search alternatives:
limitations algorithm » maximization algorithm (Expand Search), location algorithm (Expand Search)
resource limitations » resource utilization (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
key resource » key resources (Expand Search), key source (Expand Search), _ resource (Expand Search)
image driven » climate driven (Expand Search), wave driven (Expand Search), mapk driven (Expand Search)
Showing 1 - 4 results of 4 for search '(( binary key resource limitations algorithm ) OR ( binary image driven optimization algorithm ))', query time: 0.39s Refine Results
  1. 1
    Experimental observation of gastruloids and shape quantification using LOCO-EFA.

    Experimental observation of gastruloids and shape quantification using LOCO-EFA. by Martijn A. de Jong (17896732)

    Published 2024
    Save to List
    Saved in:
  2. 2
    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png

    Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png by Minjin Guo (22751300)

    Published 2025
    Save to List
    Saved in:
  3. 3
    Thesis-RAMIS-Figs_Slides

    Thesis-RAMIS-Figs_Slides by Felipe Santibañez-Leal (10967991)

    Published 2024
    “…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”
    Save to List
    Saved in:
  4. 4
    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…</p><p dir="ltr">The dataset consists of 20 key features, which are grouped into four categories: physicochemical properties, biological responses, experimental exposure conditions, and fundamental core properties derived from periodic trends. …”
    Save to List
    Saved in:

Search Tools: