Showing 2,941 - 2,960 results of 22,159 for search '"learning"', query time: 0.09s Refine Results
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    The effectiveness of service learning-esd content in equipping students with problem-solving skills by Nurhaliza Nurhaliza, Nuryani Rustaman, Widi Purwianingsih, Salahuddin Salahuddin

    Published 2024-10-01
    “…Service learning contains ESD is one of the learning approaches that is suitable for students in the field of science. …”
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    A large synthetic dataset for machine learning applications in power transmission grids by Marc Gillioz, Guillaume Dubuis, Philippe Jacquod

    Published 2025-01-01
    “…Fast, essentially real-time computational approaches to evaluate their operational safety, stability and reliability are therefore highly desirable. Machine Learning methods have been advocated to solve this challenge, however they are heavy consumers of training and testing data, while historical operational data for real-world power grids are hard if not impossible to access. …”
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    BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

    Published 2025-02-01
    “…These are accompanied by 3.1 million annotations translated to the CATAMI scheme, which span 190,000 of the images. A large deep learning model was trained on this compilation and preliminary results suggest it has utility for automating large and small-scale image analysis tasks. …”
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    Learning everyday multitasking activities-An online survey about people's experiences and opinions. by Aina Digaeva, Daniel T Bishop, Andre J Szameitat

    Published 2024-01-01
    “…Previous research has distinguished between MT learning regimes in which all tasks are learned in parallel, single-task (ST) learning regimes in which all tasks are learned individually, and mixed learning regimes (Mix) in which MT and ST regimes are mixed. …”
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    On Quantum Methods for Machine Learning Problems Part II: Quantum Classification Algorithms by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

    Published 2020-03-01
    “…This second part of the review presents several classification problems in machine learning that can be accelerated with quantum subroutines. …”
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