Found: 10
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Deep Learning for Indoor Pedestal Fan Blade Inspection: Utilizing Low-Cost Autonomous Drones in an Educational Setting.
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- Drones (2504-446X), 2024, v. 8, n. 7, p. 298, doi. 10.3390/drones8070298
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- Article
Computer Vision-Based Path Planning with Indoor Low-Cost Autonomous Drones: An Educational Surrogate Project for Autonomous Wind Farm Navigation.
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- Drones (2504-446X), 2024, v. 8, n. 4, p. 154, doi. 10.3390/drones8040154
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- Article
Identification and Localization of Wind Turbine Blade Faults Using Deep Learning.
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- Applied Sciences (2076-3417), 2024, v. 14, n. 14, p. 6319, doi. 10.3390/app14146319
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- Article
Exploration vs. Data Refinement via Multiple Mobile Sensors.
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- Entropy, 2019, v. 21, n. 6, p. 568, doi. 10.3390/e21060568
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- Article
Bayesian Compressive Sensing of Sparse Signals with Unknown Clustering Patterns.
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- Entropy, 2019, v. 21, n. 3, p. 247, doi. 10.3390/e21030247
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- Article
Desert/Forest Fire Detection Using Machine/Deep Learning Techniques.
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- Fire (2571-6255), 2023, v. 6, n. 11, p. 418, doi. 10.3390/fire6110418
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- Article
Fuzzy-Based Image Contrast Enhancement for Wind Turbine Detection: A Case Study Using Visual Geometry Group Model 19, Xception, and Support Vector Machines.
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- Machines, 2024, v. 12, n. 1, p. 55, doi. 10.3390/machines12010055
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- Article
Anomaly Detection on Small Wind Turbine Blades Using Deep Learning Algorithms.
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- Energies (19961073), 2024, v. 17, n. 5, p. 982, doi. 10.3390/en17050982
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- Publication type:
- Article
Data Fusion and Ensemble Learning for Advanced Anomaly Detection Using Multi-Spectral RGB and Thermal Imaging of Small Wind Turbine Blades.
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- Energies (19961073), 2024, v. 17, n. 3, p. 673, doi. 10.3390/en17030673
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- Article
Compressive Sensing via Variational Bayesian Inference under Two Widely Used Priors: Modeling, Comparison and Discussion.
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- Entropy, 2023, v. 25, n. 3, p. 511, doi. 10.3390/e25030511
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- Article