AIMC Topic: Wind

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Oscillations make a self-scaled model for honeybees' visual odometer reliable regardless of flight trajectory.

Journal of the Royal Society, Interface Sep 8, 2021
Honeybees foraging and recruiting nest-mates by performing the waggle dance need to be able to gauge the flight distance to the food source regardless of the wind and terrain conditions. Previous authors have hypothesized that the foragers' visual od...
Robotics Bees Flight, Animal Wind Animals
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Perceptions of GHG emissions and renewable energy sources in Europe, Australia and the USA.

Environmental science and pollution research international Aug 25, 2021
People's sentiments and perceptions of greenhouse gas emission and renewable energy are important information to understand their reaction to the planned mitigation policy. Therefore, this research analyzes people's perceptions of greenhouse gas emis...
Europe Greenhouse Gases Renewable Energy Humans Wind Sentiment Analysis
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Short-term wind speed prediction using hybrid machine learning techniques.

Environmental science and pollution research international Jul 9, 2021
Wind energy is one of the potential renewable energy sources being exploited around the globe today. Accurate prediction of wind speed is mandatory for precise estimation of wind power at a site. In this study, hybrid machine learning models have bee...
Machine Learning Wind India Least-Squares Analysis
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Optimization scheme of wind energy prediction based on artificial intelligence.

Environmental science and pollution research international Mar 25, 2021
Wind energy, as one of the renewable energies with the most potential for development, has been widely concerned by many countries. However, due to the great volatility and uncertainty of natural wind, wind power also fluctuates, seriously affecting ...
Energy-Generating Resources Artificial Intelligence Wind Neural Networks, Computer Reproducibility of Results
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The Influence of Climate Parameters on Maintenance of Wind Farms-A Galician Case Study.

Sensors (Basel, Switzerland) Dec 23, 2020
There are different monitoring procedures in wind farms with two main objectives: (i) to improve energy production by the capability of the national electrical network and (ii) to reduce the stooped hours due to preventive and or corrective maintenan...
Weather Climate Spain Artificial Intelligence Wind Energy-Generating Resources
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Heavy metals in submicronic particulate matter (PM) from a Chinese metropolitan city predicted by machine learning models.

Chemosphere Jul 8, 2020
The aim of this study was to establish a method for predicting heavy metal concentrations in PM (aerosol particles with an aerodynamic diameter ≤ 1.0 μm) based on back propagation artificial neural network (BP-ANN) and support vector machine (SVM) me...
Metals, Heavy Meteorological Concepts Betacoronavirus Seasons Aerosols Pneumonia, Viral Air Pollutants Air Pollution Particulate Matter Environmental Exposure Coronavirus Infections Cities Environmental Monitoring Support Vector Machine SARS-CoV-2 China COVID-19 Humans Computer Simulation Neural Networks, Computer Wind Pandemics
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Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of COVID-19 Based on Artificial Intelligence Applications.

International journal of environmental research and public health May 25, 2020
Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmenta...
Italy Coronavirus Infections Climate Betacoronavirus Pneumonia, Viral Wind Artificial Intelligence SARS-CoV-2 Pandemics Cities COVID-19 Algorithms Temperature Humans Neural Networks, Computer
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Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration.

Environmental science and pollution research international May 23, 2020
Accurate estimation of reference evapotranspiration (ET) is profoundly crucial in crop modeling, sustainable management, hydrological water simulation, and irrigation scheduling, since it accounts for more than two-thirds of global precipitation loss...
Wind Algeria Hydrology Neural Networks, Computer Artificial Intelligence
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Dynamic performances of a bird-like flapping wing robot under randomly uncertain disturbances.

PloS one May 5, 2020
The nonlinear dynamics of a bird-like flapping wing robot under randomly uncertain disturbances was studied in this study. The bird-like flapping wing robot was first simplified into a two-rod model with a spring connection. Then, the dynamic model o...
Nonlinear Dynamics Uncertainty Flight, Animal Aircraft Biomimetics Wings, Animal Wind Birds Computer Simulation Models, Theoretical Animals Robotics
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Short-Time Wind Speed Forecast Using Artificial Learning-Based Algorithms.

Computational intelligence and neuroscience Apr 25, 2020
The need for an efficient power source for operating the modern industry has been rapidly increasing in the past years. Therefore, the latest renewable power sources are difficult to be predicted. The generated power is highly dependent on fluctuated...
Forecasting Machine Learning Wind Algorithms
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