AIMC Topic: Weather

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The use of weather nowcasting convolutional neural network extrapolators in cardiac PET imaging.

Journal of medical radiation sciences Jun 28, 2023
INTRODUCTION: Algorithms to predict short-term changes in local weather modalities have been used in meteorology for many years. These algorithms predict the temporospatial change in the movement of weather patterns such as cloud cover or precipitati...
Neural Networks, Computer Algorithms Positron-Emission Tomography Cardiac Imaging Techniques Image Processing, Computer-Assisted Weather
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A new rainfall prediction model based on ICEEMDAN-WSD-BiLSTM and ESN.

Environmental science and pollution research international Mar 1, 2023
Precipitation, as an important indicator describing the evolution of the regional climate system, plays an important role in understanding the spatial and temporal distribution characteristics of regional precipitation. Scientific and accurate predic...
Droughts Rain Forecasting Weather Climate Floods Neural Networks, Computer
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Prediction of mustard yield using different machine learning techniques: a case study of Rajasthan, India.

International journal of biometeorology Jan 31, 2023
Mustard is the second most important edible oilseed after groundnut for India. Adverse weather drastically reduces the mustard yield. Weather variables affect the crop differently during different stages of development. Weather influence on crop yiel...
India Weather Neural Networks, Computer Mustard Plant Machine Learning
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Decision support system to classify the vulnerability of broiler production system to heat stress based on fuzzy logic.

International journal of biometeorology Jan 28, 2023
In this study, we develop an artificial intelligence model to predict the vulnerability of broiler production systems (broilers and facilities) to heat conditions using a fuzzy model approach. The model was designed with a multiple-input and a single...
Fuzzy Logic Weather Heat Stress Disorders Chickens Heat-Shock Response Animals Artificial Intelligence
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Coagulant dosage determination using deep learning-based graph attention multivariate time series forecasting model.

Water research Jan 24, 2023
Determination of coagulant dosage in water treatment is a time-consuming process involving nonlinear data relationships and numerous factors. This study provides a deep learning approach to determine coagulant dosage and/or the settled water turbidit...
Water Purification Forecasting Deep Learning Time Factors Machine Learning Weather
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Deep Learning with Attention Mechanisms for Road Weather Detection.

Sensors (Basel, Switzerland) Jan 10, 2023
There is great interest in automatically detecting road weather and understanding its impacts on the overall safety of the transport network. This can, for example, support road condition-based maintenance or even serve as detection systems that assi...
Accidents, Traffic Weather Deep Learning Automobile Driving Neural Networks, Computer
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A Synthetic Data Generation Technique for Enhancement of Prediction Accuracy of Electric Vehicles Demand.

Sensors (Basel, Switzerland) Jan 4, 2023
In terms of electric vehicles (EVs), electric kickboards are crucial elements of smart transportation networks for short-distance travel that is risk-free, economical, and environmentally friendly. Forecasting the daily demand can improve the local s...
Algorithms Forecasting Neural Networks, Computer Weather Random Forest
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Hourly Water Level Forecasting in an Hydroelectric Basin Using Spatial Interpolation and Artificial Intelligence.

Sensors (Basel, Switzerland) Dec 25, 2022
In this work, a new hydroelectric basin modelling approach is described and applied to the Pontecosi basin, Italy. Several types of data sources were used to learn the model: a number of weather stations, satellite observations, the reanalysis datase...
Artificial Intelligence Neural Networks, Computer Water Weather Forecasting Environmental Monitoring Spatial Analysis
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An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network.

Sensors (Basel, Switzerland) Dec 21, 2022
The purpose of image dehazing is to remove the interference from weather factors in degraded images and enhance the clarity and color saturation of images to maximize the restoration of useful features. Single image dehazing is one of the most import...
Electric Power Supplies Neural Networks, Computer Algorithms Weather
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Real-time streamflow forecasting in a reservoir-regulated river basin using explainable machine learning and conceptual reservoir module.

The Science of the total environment Dec 5, 2022
Real-time streamflow forecasting is essential to manage water resources effectively in a reservoir-regulated basin. However, forecasting becomes challenging without weather and upstream reservoir outflows forecasts in real-time. In this context, a no...
Water Resources Rivers Forecasting Weather Machine Learning
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