Adoption of machine learning in streamlining maintenance strategies for effective operations in automotive industries by Aniekan Ikpe, Imoh Ekanem

Subjects: “…machine learning…”
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What is the implementation practice of schools as learning organisations from the perspective of local governments? by Inese Lusena-Ezera, Gunta Siliņa-Jasjukeviča

Subjects: “…Learning organisation…”
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Implementation of home visit method in offline learning during the Covid-19 pandemic by Benjamin Metekohy, Novita Sahertian, David Ming

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Study of improving the quality of learning in an effort to improve the quality of elementary school education by Ketut Susiani, I Wayan Suastra, Ida Bagus Putu Arnyana

“…And the quality of teaching can be done by developing innovative learning models. If educators are able to improve performance related to improving classroom management and the learning process by participating in training on various innovative learning, then the quality of education and the quality of graduates will be able to compete in the global era…”
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REVOLUTIONIZING EDUCATION: ASSESSING THE IMPACT OF MOBILE LEARNING APPS ON ACADEMIC SUCCESS AND ATTITUDES by Rommel AlAli

Subjects: “…mobile learning…”
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In‐Situ Rheology Measurements via Machine‐Learning Enhanced Direct‐Ink‐Writing by Robert D. Weeks, Jennifer M. Ruddock, J. Daniel Berrigan, Jennifer A. Lewis, James. O. Hardin

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Automated strabismus detection and classification using deep learning analysis of facial images by Mahsa Yarkheir, Motahhareh Sadeghi, Hamed Azarnoush, Mohammad Reza Akbari, Elias Khalili Pour

“…This research presents a new deep-learning-based approach for automatically identifying and classifying strabismus from facial images. …”
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Machine learning based prediction of specific heat capacity for half-Heusler compounds by Laxman Chaudhary, Keshab Chaudhary, Ambika Shahi, Kedar Nath Jaiswal, Dipendra Prasad Kalauni, Se-Hun Kim, Madhav Prasad Ghimire

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Using Reclaimed Water to Irrigate Turfgrass – Lessons Learned from Research with Phosphorus by George Hochmuth, Jinghua Fan, Jason Kruse, Jerry Sartain

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Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images by Jovito Colin, Nico Surantha

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Developing “learning society” as a basic condition for perfect management education in China by M. Yu. Zakharov, A. V. Shishkova

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Optimizing marketing learning evaluation: Gamification with CIPP model at SMKN 1 Bandung by Dini Haryanti, Ayuni Hanifatunnisa, Zaki Mubarak, Angga Hadiapurwa

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Evolving Metacognitive Strategies in Hyperpolyglots: A Longitudinal Study of Adaptive Language Learning by Angel Osle

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A Gamified Active-Learning Proposal for Higher-Education Heterogeneous STEM Courses by Mario J. Duran, Juan J. Aciego, Ignacio Gonzalez-Prieto, Juan Carrillo-Rios, Angel Gonzalez-Prieto, Alicia Claros-Colome

Subjects: “…active learning…”
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Implementation of the School as a Learning Organisation Approach in Vocational Education: The Case of Latvia by Gunta Siliņa-Jasjukeviča, Ilze Briška, Inese Lūsēna-Ezera, Agnese Lastovska, Inga Linde

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Rencana Pelaksanaan Pembelajaran (RPP) in learning entrepreneurship subjects at SMAN 1 Lembang by Bella Putri Iskandar, Nabil Fatya NH, Naia Dwi Anindita

“…The continuity of this learning process is essential, considering the rapid dynamics in the business and economic world, requiring students to be skilled in facing future challenges. …”
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When to stop social learning from a predecessor in an information-foraging task by Hidezo Suganuma, Aoi Naito, Kentaro Katahira, Tatsuya Kameda

Subjects: “…social learning…”
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Prenatal depression level prediction using ensemble based deep learning model by Abinaya Gopalakrishnan, Xujuan Zhou, Revathi Venkataraman, Raj Gururajan, Ka Ching Chan, Guohun Zhu, Niall Higgins

“…The accuracy of this approach applied to three benchmark datasets produced better results compared to all commonly applied machine learning models, including an Ensemble based Deep Learning model. …”
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Behaviour Generation in Humanoids by Learning Potential-Based Policies from Constrained Motion by Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar

“…We present a method for learning potential-based policies from constrained motion data. …”
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Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

“…This paper presents a systematic review of recent advances in music generation using deep learning techniques, categorizing the latest research in the field and identifying key contributions from various approaches. …”
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