Evaluation of the ‘Leányka’ (‘Fetească Albă’) white wine grape variety’s qualitative and quantitative parameters in the context of different bud loads

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Eight-Port millimeter wave MIMO antenna loaded with novel frequency selective surface for higher data rate transmission

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QLID-Net: A Hybrid Quantum-Classical Neural Network for Robust and Data-Efficient Smart Grid Load Identification

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An interfacial hydrogel compartment within a multicompartment tendon-to-bone scaffold influences cell behavior under cyclic tensile loading

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Structural Differences in KIR3DL1 and LILRB1 Interaction with HLA-B and the Loading Peptide Polymorphisms: In Silico Evidences

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Effect of Loading Rate and Fiber Content on the Dynamic Compression Behaviors of Steel–Polyethylene Hybrid Fiber Reinforced Engineered Cementitious Composites

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Assessment of the Effect of Service-Learning in Nanoscience on Student's Depth of Learning and Critical Thinking

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Organizational Learning and ERP Post-implementation Phase: A Situated Learning Perspective

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solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

Subjects: “…— — — — — — e-Learning…”
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Implementing learning design with learning analytics to scaffold the regulation of collaboration in primary education

Subjects: “…— — — — — Distance Education and eLearning…”
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

Subjects: “…Artificial Intelligence & Machine Learning…”
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Robotic Cell Micromanipulation Skill Learning via Imitation‐Enhanced Reinforcement Learning

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Agent-based adaptive e-learning model for any learning management system

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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

Subjects: “…Artificial Intelligence & Machine Learning…”
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning

Subjects: “…Artificial Intelligence & Machine Learning…”
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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

Subjects: “…Artificial Intelligence & Machine Learning…”
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning

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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

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