AIMC Topic: Weather

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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...
Artificial Intelligence Climate Spain Energy-Generating Resources Wind Weather
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Whether the weather will help us weather the COVID-19 pandemic: Using machine learning to measure twitter users' perceptions.

International journal of medical informatics Nov 10, 2020
OBJECTIVE: The potential ability for weather to affect SARS-CoV-2 transmission has been an area of controversial discussion during the COVID-19 pandemic. Individuals' perceptions of the impact of weather can inform their adherence to public health gu...
SARS-CoV-2 Social Media Pandemics COVID-19 Weather Humans Machine Learning
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Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction.

Sensors (Basel, Switzerland) Nov 9, 2020
Knowledge of phenological events and their variability can help to determine final yield, plan management approach, tackle climate change, and model crop development. THe timing of phenological stages and phases is known to be highly correlated with ...
Temperature Italy Weather Machine Learning Climate Change Seasons Olea
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Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee.

Accident; analysis and prevention Nov 7, 2020
Given the ever present threat of vehicular accident occurrence endangering the lives of most people, preventative measures need to be taken to combat vehicle accident occurrence. From dangerous weather to hazardous roadway conditions, there are a hig...
Tennessee Accidents, Traffic Weather Neural Networks, Computer Forecasting Humans Cities Models, Theoretical
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Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia.

PLoS neglected tropical diseases Sep 24, 2020
The robust estimate and forecast capability of random forests (RF) has been widely recognized, however this ensemble machine learning method has not been widely used in mosquito-borne disease forecasting. In this study, two sets of RF models were dev...
Aedes Dengue Weather Colombia Socioeconomic Factors Dengue Virus Neural Networks, Computer Machine Learning Humans Animals Forecasting Disease Outbreaks
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PM concentration estimation using convolutional neural network and gradient boosting machine.

Journal of environmental sciences (China) Jun 14, 2020
Surface monitoring, vertical atmospheric column observation, and simulation using chemical transportation models are three dominant approaches for perception of fine particles with diameters less than 2.5 micrometers (PM) concentration. Here we explo...
Neural Networks, Computer Machine Learning Weather China Particulate Matter
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Artificial Intelligence for Natural Hazards Risk Analysis: Potential, Challenges, and Research Needs.

Risk analysis : an official publication of the Society for Risk Analysis May 19, 2020
Artificial intelligence (AI) methods have seen increasingly widespread use in everything from consumer products and driverless cars to fraud detection and weather forecasting. The use of AI has transformed many of these application domains. There are...
Artificial Intelligence Natural Disasters Humans Weather Risk Assessment Disaster Planning
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Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data.

Accident; analysis and prevention May 11, 2020
Providing drivers with real-time weather information and driving assistance during adverse weather, including fog, is crucial for safe driving. The primary focus of this study was to develop an affordable in-vehicle fog detection method, which will p...
Deep Learning Automobile Driving Accidents, Traffic Humans Weather Videotape Recording Data Collection
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Detecting lane change maneuvers using SHRP2 naturalistic driving data: A comparative study machine learning techniques.

Accident; analysis and prevention May 11, 2020
Lane change has been recognized as a challenging driving maneuver and a significant component of traffic safety research. Developing a real-time continuous lane change detection system can assist drivers to perform and deal with complex driving tasks...
Automobile Driving Data Accuracy Accidents, Traffic Weather Humans Machine Learning Databases, Factual
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Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning.

Computational intelligence and neuroscience Mar 11, 2020
We propose three quality control (QC) techniques using machine learning that depend on the type of input data used for training. These include QC based on time series of a single weather element, QC based on time series in conjunction with other weat...
Quality Control Machine Learning Weather
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