„learning programming“
Suchergebnisse
1.902 Treffer
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A self-learning approach for proactive resource and service provisioning in fog environment
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Supervised and Unsupervised Machine Learning Methods Applied for Enrolling Women in the Canadian Armed Forces – Identifying Geographical Areas with Highest Recruiting Potential
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Deep Learning Techniques for Smart Meter Data Analytics: A Review
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Perceived Level of Usability as an Evaluation Metric in Adaptive E-learning – A Case Study with Dyslexic Children
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Problem-Based Learning Diagnosis in Computing Higher Education: An Overview from Brazilian Public Institutions
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A Machine Learning Approach for the Classification of Wet and Dry Periods Using Commercial Microwave Link Data
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An Investigation of College Students’ Learning Engagement and Classroom Preferences Under the Smart Classroom Environment
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A Machine Learning Ensembling Approach to Predicting Transfer Values
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Bringing Deep Learning to the Fields and Forests: Leaf Reconstruction and Shape Estimation
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Making distributed edge machine learning for resource-constrained communities and environments smarter: contexts and challenges
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Construction of personalized learning and knowledge system of chemistry specialty via the internet of things and clustering algorithm
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Analysis of agricultural exports based on deep learning and text mining
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Application of deep learning to detect defects on the surface of steel balls in an IoT environment
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MESSB–LWE: multi-extractable somewhere statistically binding and learning with error-based integrity and authentication for cloud storage
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A system for quantifying facial symmetry from 3D contour maps based on transfer learning and fast R-CNN
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Quantifying the effects of environment and population diversity in multi-agent reinforcement learning
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RAFALE: Rethinking the provisioning of virtuAl network services using a Fast and scAlable machine LEarning approach
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Improving the prediction of continuous integration build failures using deep learning
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Facilitating the migration to the microservice architecture via model-driven reverse engineering and reinforcement learning
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A model-driven approach to machine learning and software modeling for the IoT – Generating full source code for smart Internet of Things (IoT) services and cyber-physical systems (CPS)