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    Induction of Convolutional Decision Trees for Semantic Segmentation of Color Images Using Differential Evolution and Time and Memory Reduction Techniques by Adriana-Laura López-Lobato, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes

    Published 2025-05-01
    “…Convolutional Decision Trees (CDTs) are machine learning models utilized as interpretable methods for image segmentation. …”
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  3. 103
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    Foreign language teaching by Enrique Vez López

    Published 2024-07-01
    Subjects:
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    ANALISIS KEBUTUHAN PENGEMBANGAN MODEL PEMBELAJARAN KIMIA DIRECT INSTRUCTION BERORIENTASI THINKING INDUCTIVELY UNTUK MENUMBUHKAN LIFE SKILL PESERTA DIDIK by Asih Widi Wisudawati

    Published 2013-06-01
    “…This study aims to analyze the needs of students and teachers in the learning process chemicals to be used for the development of Direct Instruction model of teaching chemistry Thinking inductively oriented to foster students' life skill. …”
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    Constructing collective learning by Femke Nijland, Marjan Vermeulen

    Published 2025-01-01
    “…Using a qualitative case study approach, that involved interviewing all eleven members of two newly formed multidisciplinary PLCs, experiences with constructing collective learning were collected. A combinatory inductive and deductive analysis was performed, which confirmed the foundational mechanisms of collective learning as defined by the cognitive perspective. …”
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  10. 110

    Early Detection of Inter-Turn Short Circuits in Induction Motors Using the Derivative of Stator Current and a Lightweight 1D-ResNet by Carlos Javier Morales-Perez, David Camarena-Martinez, Juan Pablo Amezquita-Sanchez, Jose de Jesus Rangel-Magdaleno, Edwards Ernesto Sánchez Ramírez, Martin Valtierra-Rodriguez

    Published 2025-06-01
    “…This work presents a lightweight and practical methodology for detecting inter-turn short-circuit faults in squirrel-cage induction motors under different mechanical load conditions. …”
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    Supporting Self-Regulated Learning in Primary Education: Using Written Learning Guides in the Lessons by Liina Kersna, Kristjan-Julius Laak, Liina Lepp, Margus Pedaste

    Published 2025-01-01
    “…The data were analysed using qualitative content analysis combining inductive and deductive methods. The results of this study revealed that the learning guides consist of three parts: an introduction, individual and collaborative tasks with self-assessment, and self-analysis. …”
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  13. 113

    Prediction of matrilineal specific patatin-like protein governing in-vivo maternal haploid induction in maize using support vector machine and di-peptide composition by Suman Dutta, Rajkumar U. Zunjare, Anirban Sil, Dwijesh Chandra Mishra, Alka Arora, Nisrita Gain, Gulab Chand, Rashmi Chhabra, Vignesh Muthusamy, Firoz Hossain

    Published 2024-03-01
    “…The developed SVM model opened a new paradigm for scientists working in in-vivo haploid induction in commercial crops. This is the first report of machine learning of the identification of proteins with patatin-like activity.…”
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    FARADAY MAGNETOMETER WITH SHERIC POLE PIECES: IDENTIFICATION ZONE WITH A STABLE FORCE FACTOR by A. V. Sandulyak, A. A. Sandulyak, M. N. Polismakova, D. O. Kiselev, D. A. Sandulyak

    Published 2017-12-01
    “…It was defined a prerequisites for an appearance area with a stable value of magnetic field intensity (induction) gradient of magnetic field. Presence such zone is a necessary but not sufficient condition for presence a zone with a stable value of magnetic forceful factor (as a product of field intensity or pole induction by its gradient). …”
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  17. 117

    Deep Learning-Based Waste Classification with Transfer Learning Using EfficientNet-B0 Model by Risfendra Risfendra, Gheri Febri Ananda, Herlin Setyawan

    Published 2024-08-01
    “…Implementing this model in the industry can automate the waste sorting process more efficiently and accurately than methods based on inductive and capacitive proximity sensors. This study underscores the significant potential of deep learning models, particularly EfficientNet-B0, in industrial waste classification applications and opens opportunities for further integration with sensor and robotic systems for more advanced waste management solutions.…”
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    Behind the Scenes of Adaptive Learning: A Scoping Review of Teachers’ Perspectives on the Use of Adaptive Learning Technologies by Patricia D. Simon, Lily Min Zeng

    Published 2024-12-01
    “…Adaptive learning technologies are emerging educational tools that personalize instruction and tasks to meet students’ current ability levels. …”
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    Medical students’ perceptions of the learning environment and its implications on teaching and learning: A qualitative study in Nigeria by Adetunji Obadeji, Alwyn Louw, Ian Couper

    Published 2024-12-01
    “…Background & Objective: With increased interest in understanding the role of the Learning Environment (LE) in effective teaching and learning, this study explores how medical students in Nigeria perceived their LE and its impact on their education. …”
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