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Induction of Convolutional Decision Trees for Semantic Segmentation of Color Images Using Differential Evolution and Time and Memory Reduction Techniques
Published 2025-05-01“…Convolutional Decision Trees (CDTs) are machine learning models utilized as interpretable methods for image segmentation. …”
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ANALISIS KEBUTUHAN PENGEMBANGAN MODEL PEMBELAJARAN KIMIA DIRECT INSTRUCTION BERORIENTASI THINKING INDUCTIVELY UNTUK MENUMBUHKAN LIFE SKILL PESERTA DIDIK
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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Europe’s Got Talent: Setting the Stage for New Teachers by Educative Mentoring
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Constructing collective learning
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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Early Detection of Inter-Turn Short Circuits in Induction Motors Using the Derivative of Stator Current and a Lightweight 1D-ResNet
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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Neuropsychological profile of patients with bipolar depression in remission
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Supporting Self-Regulated Learning in Primary Education: Using Written Learning Guides in the Lessons
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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Prediction of matrilineal specific patatin-like protein governing in-vivo maternal haploid induction in maize using support vector machine and di-peptide composition
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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Recent Results on the Use of Artificial Intelligence Techniques Applied to Wireless Power Transfer Systems
Published 2025-01-01Subjects: Get full text
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FARADAY MAGNETOMETER WITH SHERIC POLE PIECES: IDENTIFICATION ZONE WITH A STABLE FORCE FACTOR
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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Deep Learning-Based Waste Classification with Transfer Learning Using EfficientNet-B0 Model
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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Effective and Engaging Active Learning in the Medical School Classroom: Lessons from Case-Based Collaborative Learning
Published 2025-01-01“…CBCL emphasizes inductive reasoning, integrates basic and clinical sciences, stimulates curiosity, and fosters teamwork. …”
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Behind the Scenes of Adaptive Learning: A Scoping Review of Teachers’ Perspectives on the Use of Adaptive Learning Technologies
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
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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