Showing 1,521 - 1,540 results of 3,000 for search '(((sfind OR spine) OR ((pine OR fine) OR line)) OR ((san OR spinal) OR peng))', query time: 0.19s Refine Results
  1. 1521

    Planning with object creation by Corrêa, AB, De Giacomo, G, Helmert, M, Rubin, S

    Published 2024
    “…One key aspect of PDDL is that the set of objects cannot be modified during plan execution. While this is fine in many domains, sometimes it makes modeling more complicated. …”
    Conference item
  2. 1522

    Large deviation estimates of Selberg’s central limit theorem and applications by Arguin, L-P, Bailey, E

    Published 2023
    “…The proof is an adaptation of the recursive scheme introduced by Bourgade, Radziwi l l and one of the authors to prove fine asymptotics for the maximum on intervals of length 1.…”
    Journal article
  3. 1523

    Timing performance of a MCP photon detector read out with multi-channel electronics for the TORCH system by Castillo García, L, Fopma, JM, Forty, R, Frei, C, Gao, R, Gys, T, Harnew, N, Piedigrossi, T

    Published 2014
    “…Timing properties are obtained at modest MCP gain, without time walk correction and no fine calibration of the time-to-digital converter circuit. …”
    Conference item
  4. 1524

    Quantifying behavior-based gender discrimination on collaborative platforms by Vásárhelyi, O, Vedres, B

    Published 2025
    “…We analyzed the extent of behavior-based gender discrimination on two digital platforms, GitHub and Behance, focused on software development and fine arts and design. We found that the main cause of women’s disadvantage in attention, success, and survival is largely due to the gender typicality of their behavior that varies between 60 and 90% of the total disadvantage of women. …”
    Journal article
  5. 1525

    Simulation expectation by Thomas, T

    Published 2024
    “…I also consider to what extent the argument depends upon an internalist conception of evidence, and I refute the common line of thought that finding many simulations being run—or running them ourselves—must increase the odds that we are in a simulation.…”
    Journal article
  6. 1526

    On defining the incomplete gamma function by Fisher, Brian, Jolevsaka-Tuneska, Biljana, KiliÇman, Adem

    Published 2003
    “…The incomplete Gamma function γ(α, x+) is defined as locally summable function on the real line for α > 0 by γ(α,x+)= ∫0x+ uα-1e-udu, the integral diverging for α ≤ 0. …”
    Article
  7. 1527

    Design of a voltage collapse monitoring device using local information by Myo Oo, Myint Thein.

    Published 2009
    “…The result will show as line graph on the display window of MATLAB developed program in real-time. …”
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    Final Year Project (FYP)
  8. 1528
  9. 1529

    Proteomics and metabolomics analysis of cellular responses to β-blocker carvedilol by Wang, Mingxuan

    Published 2012
    “…Consequently, developing robust cell line-based proteomics and metabolomics platforms will greatly facilitate understanding of drug-cell interactions.…”
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    Thesis
  10. 1530
  11. 1531

    Data visualization and analysis for WiFi-based occupancy detection in smart homes by Pan, Xingmeng

    Published 2019
    “…The final output is a web page containing multi-line charts that contain visualized real-time data coming from the WiFi system and the analysis result which shows the occupancy status of the room. …”
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    Final Year Project (FYP)
  12. 1532

    Discriminative learned dictionaries for local image analysis by Mairal, J, Bach, F, Ponce, J, Sapiro, G, Zisserman, A

    Published 2008
    “…This article extends this line of research into a novel framework for local image discrimination tasks, proposing an energy formulation with both sparse reconstruction and class discrimination components, jointly optimized during dictionary learning. …”
    Conference item
  13. 1533

    Inequality and the 1% by Dorling, D

    Published 2014
    “…Inequality in the UK is increasing; more and more people are driven towards the poverty line. Even before birth, being born outside the 1% will have dramatic impact on the rest of your life: it will reduce your life expectancy, educational and work prospects, as well as your mental health. …”
    Book
  14. 1534
  15. 1535
  16. 1536
  17. 1537
  18. 1538
  19. 1539
  20. 1540

    Generative artificial intelligence : exploring the power and potential of generative AI / by Solanki, Shivam R., author 654859, Khublani, Drupad K., author, SpringerLink (Online service)

    Published [202
    “…Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. …”
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    text