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  1. 2081

    Analisis Perbandingan Algoritma SVM, KNN, dan CNN untuk Klasifikasi Citra Cuaca by Mohammad Farid Naufal

    Published 2021-03-01
    “…KNN dan SVM merupakan algoritma klasifikasi dari Machine Learning sedangkan CNN merupakan algoritma klasifikasi dari Deep Neural Network. …”
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    Article
  2. 2082

    Cacao floral traits are shaped by the interaction of flower position with genotype by Seunghyun Lim, Insuck Baek, Seok Min Hong, Yoonjung Lee, Silvas Kirubakaran, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Ahn

    Published 2025-02-01
    “…These findings emphasize the phenotypic diversity of cacao flowers and demonstrate the potential of machine learning in genotype identification, offering valuable insights for breeding and cultivation strategies to enhance cacao productivity.…”
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    Article
  3. 2083

    Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory-Based Networks Approach by Aleksandar Stojkovic, Bosko Nikolic, Miodrag Zivkovic, Nebojsa Bacanin

    Published 2025-01-01
    “…Finally, the applicability of the top-performance models was validated with tiny machine learning (TinyML).…”
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    Article
  4. 2084

    Leveraging time-based spectral data from UAV imagery for enhanced detection of broomrape in sunflower by Guy Atsmon, Anna Brook, Tom Avikasis Cohen, Fadi Kizel, Hanan Eizenberg, Ran Nisim Lati

    Published 2025-03-01
    “…These VIs, reflecting changes in canopy reflectance over time, were then analyzed using various machine learning models, including a pattern recognition neural network (PRNN). …”
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    Article
  5. 2085

    Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images by Sultan Refa Alotaibi, Manal Abdullah Alohali, Mashael Maashi, Hamed Alqahtani, Moneerah Alotaibi, Ahmed Mahmud

    Published 2025-02-01
    “…Lately, computer-aided diagnosis (CAD) based on HI has progressed rapidly with the increase of machine learning (ML) and deep learning (DL) based models. …”
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    Article
  6. 2086

    Environmental Challenges Faced by a Kindergarten and a School in the Katima Mulilo Education Circuit by Давид Нкенгбеза, Мундія Кілібоні Еустінах, Євген Літаба Маемеко, Муквамбо Музва

    Published 2024-12-01
    “…The educational environment increases children’s interest in learning. It fosters a positive attitude among children and contributes to enhancing their sense of security. …”
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    Article
  7. 2087

    Awareness and Attitudes of Medical Students, Interns, and Residents Toward Telemedicine in Medical Education During the COVID-19 Pandemic: Survey-Based Cross-Sectional Study From... by Rahmat Allah Sharififar, Mahdi Mazandarani, Narges Lashkarbolouk, Somayeh Ghorbani

    Published 2025-02-01
    “…Responses to “Using e-learning courses alongside postcrisis face-to-face courses” and “Using e-learning courses alone postcrisis” varied among the groups (R: 58.1% and 54.9%, I: 59% and 58.2%, S: 47.6% and 45.3%). …”
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    Article
  8. 2088

    The technical-reasoning network is recruited when people observe others make or teach how to make tools: An fMRI study by Alexandre Bluet, Emanuelle Reynaud, Giovanni Federico, Chloé Bryche, Mathieu Lesourd, Arnaud Fournel, Franck Lamberton, Danielle Ibarrola, Yves Rossetti, François Osiurak

    Published 2025-02-01
    “…Here, we contribute to this double process approach by reporting an fMRI study about the neurocognitive origins of social learning. Participants watched videos depicting tool-making episodes in three social-learning conditions: reverse engineering, observation, and teaching. …”
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    Article
  9. 2089

    Comparative analysis of the DCNN and HFCNN Based Computerized detection of liver cancer by Sandeep Dwarkanth Pande, Pala Kalyani, S Nagendram, Ala Saleh Alluhaidan, G Harish Babu, Sk Hasane Ahammad, Vivek Kumar Pandey, G Sridevi, Abhinav Kumar, Ebenezer Bonyah

    Published 2025-02-01
    “…Researchers have explored numerous machine learning (ML) techniques and deep learning (DL) approaches aimed at the automated recognition of liver disease by analysing computed tomography (CT) images. …”
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    Article
  10. 2090

    Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by RAHMAT, Munirul ula, Zara Yunizar

    Published 2025-01-01
    “…While DMA is well-suited for stable trends and GRU excels in volatile conditions, LSTM outperforms both, reinforcing the effectiveness of deep learning for financial time-series forecasting.…”
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    Article
  11. 2091

    Poverty and Academic Performance of primary Schools in Kabale Municipality. by Justus, Niwagaba

    Published 2020
    “…Families with conducive and flexible learning environments provided the pupils with reading and writing skills which were benchmarks for good performances. …”
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    Thesis
  12. 2092
  13. 2093

    4-H Exploring Citizenship, Unit V: My Community by John Rutledge, Joy C. Jordan, Dale Pracht

    Published 2018-10-01
    “…The project emphasizes experiential learning, encouraging participants to engage actively in their communities. …”
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    Article
  14. 2094

    A Beginner's Guide to Begonias: Begonia rex-cultorum by Julian Ginori, Heqiang Huo, Dave Norman

    Published 2022-12-01
    “…This new 3-page publication of the UF/IFAS Environmental Horticulture Department is meant for Florida homeowners and horticulturalists interested in learning more about begonias. https://edis.ifas.ufl.edu/ep632 …”
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    Article
  15. 2095

    Improving Inservice Teacher Workshops in Florida by Martha C. Monroe, Jenny Seitz, Shruti Agrawal, Sheda Morshed, Elizabeth Swiman, Michelle Aldridge, Vicki Crisp

    Published 2008-07-01
    “…Monroe, Jenny Seitz, Shruti Agrawal, Sheda Morshed, Elizabeth Swiman, Michelle Aldridge, and Vicki Crisp, defines the terms that are most helpful for Florida environmental education workshop facilitators and provides suggestions for planning, advertising, delivering, and evaluating workshops to better meet the needs of our teachers. Project Learning Tree (PLT) workshops are used as an example of how nonformal education facilitators could adapt their workshops to better address the new professional development system. …”
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    Article
  16. 2096

    Using the Myers-Briggs Personality Type Indicator to Strengthen Extension Programs by Alexa J. Lamm, Ricky W. Telg

    Published 2015-10-01
    “… A person’s personality affects the way he or she learns best. Extension programs can use an understanding of different learning styles and preferences to reach the greatest number of people. …”
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    Article
  17. 2097

    The Basics of HTML by Ricky W. Telg, Laura M. Gorham, Tracy Irani

    Published 2015-10-01
    “…This 5-page publication is on learning HTML basics and is the third of the Writing and Designing for the Web series. …”
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    Article
  18. 2098

    É tempo de pipa: a representação da infância em Cidade de Deus, de Paulo Lins, e Lembrancinha do Adeus, de Júlio Ludemir by Anderson Luís Nunes da Mata

    Published 2009-01-01
    “…Traditionally understood as an age of innocence and learning, childhood has been shown indifferent colors in the so called "slum" narratives. …”
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    Article
  19. 2099

    Exemplary Youth Leadership Series: Activities to Engage Youth with Practices of Exemplary Leaders by Megan Stein

    Published 2019-11-01
    “…This new 3-page article, the first in the series, introduces each practice and Kolb’s Experiential Learning Model. Written by Megan Stein and published by the UF/IFAS Department of Agricultural Education and Communication. https://edis.ifas.ufl.edu/wc344 …”
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    Article
  20. 2100

    Using the Myers-Briggs Personality Type Indicator to Strengthen Extension Programs by Alexa J. Lamm, Ricky W. Telg

    Published 2015-10-01
    “… A person’s personality affects the way he or she learns best. Extension programs can use an understanding of different learning styles and preferences to reach the greatest number of people. …”
    Get full text
    Article