Showing 881 - 900 results of 1,453 for search '(( algorithm within function ) OR ((( algorithm python function ) OR ( algorithm both function ))))', query time: 0.43s Refine Results
  1. 881

    Supplementary file 2_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …”
  2. 882

    Supplementary file 6_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …”
  3. 883

    Supplementary file 1_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …”
  4. 884

    Supplementary file 4_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …”
  5. 885

    Supplementary file 5_Optimising the selection of welfare indicators in farm animals.docx by Jon Day (19128586)

    Published 2025
    “…Optimisation was performed using both a greedy algorithm and an enhanced algorithm incorporating backtracking and branch-and-bound solvers. …”
  6. 886

    Instances and detailed results of the paper <i>Stochastic scheduling on a restricted batching machine</i> by Yasmin Rios Solis (3909469)

    Published 2025
    “…We have developed mixed integer programming formulations and solved the stochastic problem using both a Benders decomposition approach and a biased random-key genetic algorithm. …”
  7. 887

    An extensible framework for the probabilistic search of stochastically-moving targets characterized by generalized Gaussian distributions or experimentally-defined regions of inter... by Benjamin L. Hanson (11173296)

    Published 2025
    “…<p>This article presents a continuous-time framework for modeling the evolution of a probability density function (PDF) summarizing the region of interest (ROI) during the search for a stochastically-moving, statistically stationary target. …”
  8. 888

    Landscape17 by Vlad Carare (22092515)

    Published 2025
    “…We validated the convergence, grid, and spin settings against published data from rMD17, using the appropriate functional and basis set: PBE/def2-SVP. We achieved energies and forces within 0.1 meV/atom and 5 meV/Å respectively, well within the standard acceptable resolution of 1 meV/atom and 10 meV/Å.…”
  9. 889

    Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat. by Enrico Bertozzi (22461709)

    Published 2025
    “…The analysis was conducted in a Jupyter Notebook environment, using Python and libraries such as Scikit-learn and Pandas. …”
  10. 890

    Supplementary materials for PhD thesis 'Characterisation Of The Blazhko Effect In RR Lyrae Stars Using SuperWASP Data' by Paul Greer (22619328)

    Published 2025
    “…Blazhko periods were calculated for 18 out of 20 highly modulated objects by phase-folding the amplitude modulation induced upper envelope function of their light curves.<br><br>983 Blazhko objects have been identified using coincident low frequency peaks and sidebands, or equidistant sidepeaks, in frequency spectra created using the CLEAN algorithm. …”
  11. 891

    Mechanomics Code - JVT by Carlo Vittorio Cannistraci (5854046)

    Published 2025
    “…The functions were tested respectively in: MATLAB 2018a or youger, Python 3.9.4, R 4.0.3.…”
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  16. 896

    NanoDB: Research Activity Data Management System by Lorenci Gjurgjaj (19702207)

    Published 2024
    “…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …”
  17. 897

    Code and Data for 'Fabrication and testing of lensed fiber optic probes for distance sensing using common path low coherence interferometry' by Radu Stancu (21165068)

    Published 2025
    “…Distance Sensing</p><p dir="ltr">Code and data to demonstrate extracting distance sensing data from A-scans and to generate Fig. 8 using the algorithm described in Fig. 7. Functions to generate distance measurements are in 'distance_sensing_utilities.py' and an example of how to use this on data in the 'data' folder is in 'distance_sensing_example.py', which generates Fig 8. …”
  18. 898

    Video 3_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi by Ya-tang Li (20858759)

    Published 2025
    “…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …”
  19. 899

    Video 2_Characterize neuronal responses to natural movies in the mouse superior colliculus.mp4 by Ya-tang Li (20858759)

    Published 2025
    “…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …”
  20. 900

    Video 1_Characterize neuronal responses to natural movies in the mouse superior colliculus.avi by Ya-tang Li (20858759)

    Published 2025
    “…An unsupervised learning algorithm grouped recorded neurons into 16 clusters based on their response patterns. …”