AIMC Topic: Weather

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Weather Classification by Utilizing Synthetic Data.

Sensors (Basel, Switzerland) Apr 21, 2022
Weather prediction from real-world images can be termed a complex task when targeting classification using neural networks. Moreover, the number of images throughout the available datasets can contain a huge amount of variance when comparing location...
Data Collection Vision, Ocular Neural Networks, Computer Weather
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Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources.

Sensors (Basel, Switzerland) Apr 6, 2022
Many data related problems involve handling multiple data streams of different types at the same time. These problems are both complex and challenging, and researchers often end up using only one modality or combining them via a late fusion based app...
Temperature Weather Neural Networks, Computer Information Storage and Retrieval Forecasting
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A Graph Neural Network with Spatio-Temporal Attention for Multi-Sources Time Series Data: An Application to Frost Forecast.

Sensors (Basel, Switzerland) Feb 15, 2022
Frost forecast is an important issue in climate research because of its economic impact on several industries. In this study, we propose GRAST-Frost, a graph neural network (GNN) with spatio-temporal architecture, which is used to predict minimum tem...
Machine Learning Forecasting Time Factors Weather Neural Networks, Computer
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Using multiple linear regression and BP neural network to predict critical meteorological conditions of expressway bridge pavement icing.

PloS one Feb 4, 2022
Icy bridge deck in winter has tremendous consequences for expressway traffic safety, which is closely related to the bridge pavement temperature. In this paper, the critical meteorological conditions of icy bridge deck were predicted by multiple line...
Regression Analysis Air Pollutants China Environmental Monitoring Linear Models Cold Temperature Pressure Safety Weather Neural Networks, Computer Wind Meteorological Concepts Ice Meteorology
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Robust Real-Time Traffic Surveillance with Deep Learning.

Computational intelligence and neuroscience Dec 27, 2021
Real-time vehicle monitoring in highways, roads, and streets may provide useful data both for infrastructure planning and for traffic management in general. Even though it is a classic research area in computer vision, advances in neural networks for...
Deep Learning Weather Neural Networks, Computer Algorithms
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Weather forecasting based on data-driven and physics-informed reservoir computing models.

Environmental science and pollution research international Nov 25, 2021
In response to the growing demand for the global energy supply chain, wind power has become an important research subject among studies in the advancement of renewable energy sources. The major concern is the stochastic volatility of weather conditio...
Forecasting Wind Weather Physics Neural Networks, Computer
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Aedes-AI: Neural network models of mosquito abundance.

PLoS computational biology Nov 19, 2021
We present artificial neural networks as a feasible replacement for a mechanistic model of mosquito abundance. We develop a feed-forward neural network, a long short-term memory recurrent neural network, and a gated recurrent unit network. We evaluat...
Systems Analysis Vector Borne Diseases Mosquito Vectors Stochastic Processes Weather Aedes Spatio-Temporal Analysis Computational Biology Population Dynamics Models, Biological United States Databases, Factual Humans Animals Neural Networks, Computer
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Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2021
The prediction of crowd flows is an important urban computing issue whose purpose is to predict the future number of incoming and outgoing people in regions. Measuring the complicated spatial-temporal dependencies with external factors, such as weath...
Humans Neural Networks, Computer Weather Spatial Analysis
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Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network.

Sensors (Basel, Switzerland) Oct 27, 2021
Providing a stable, low-price, and safe supply of energy to end-users is a challenging task. The energy service providers are affected by several events such as weather, volatility, and special events. As such, the prediction of these events and havi...
Neural Networks, Computer Time Forecasting Machine Learning Weather
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Extreme fire weather is the major driver of severe bushfires in southeast Australia.

Science bulletin Oct 5, 2021
In Australia, the proportion of forest area that burns in a typical fire season is less than for other vegetation types. However, the 2019-2020 austral spring-summer was an exception, with over four times the previous maximum area burnt in southeast ...
Forests Wildfires Humans Fires Australia Weather
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