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Identifying Ideal Turbine Locations Using Explainable Ai Techniques

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Wind Energy Handbook
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The Goals of Sustainable Development
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Identifying the Effects of COVID-19 on Psychological Well-Being Through Unsupervised Clustering for Mixed Data
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RELAX: Representation Learning Explainability
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Modelling of impact of water quality on infiltration rate of soil by random forest regression
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Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis
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Random forest regression for online capacity estimation of lithium-ion batteries
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Data investigation of installed and output power densities of onshore and offshore wind turbines worldwide
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A machine learning approach to explore cognitive signatures in patients with temporo-mesial epilepsy
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Current methods and advances in forecasting of wind power generation
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Machine learning methods for wind turbine condition monitoring: A review
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Aircraft taxi time prediction: Feature importance and their implications
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Random Forests
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Causal Interpretations of Black-Box Models
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Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
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Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification
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Toward Human-Understandable, Explainable AI
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Towards more smart, efficient and reliable wind-turbine structures
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Machine Learning Approaches to Determine Feature Importance for Predicting Infant Autopsy Outcome
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Greedy function approximation: A gradient boosting machine.
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Associations of age, BMI, and renal function to cortisol after dexamethasone suppression in patients with adrenal incidentalomas
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Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study
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Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation
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Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal Study
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Tracking Clean Energy Progress
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Associations of age, BMI, and renal function to cortisol after dexamethasone suppression in patients with adrenal incidentalomas
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Machine learning based congestive heart failure detection using feature importance ranking of multimodal features
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From wind to loads: wind turbine site-specific load estimation with surrogate models trained on high-fidelity load databases
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Grand challenges in the digitalisation of wind energy
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Guided tour on wind energy
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