AIMC Topic: Weather

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Short- and long-term weather prediction based on a hybrid of CEEMDAN, LMD, and ANN.

PloS one Jul 22, 2024
Agriculture is one of the major economic sectors in Africa, and it predominantly depends on the climate. However, extreme climate changes do have a negative impact on agricultural production. The damage resulting from extreme climate change can be mi...
Humans Forecasting Neural Networks, Computer Weather Agriculture Climate Change
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Enhancement of ANN-based wind power forecasting by modification of surface roughness parameterization over complex terrain.

Journal of environmental management May 31, 2024
Wind energy plays an important role in the sustainable energy transition towards a low-carbon society. Proper assessment of wind energy resources and accurate wind energy prediction are essential prerequisites for balancing electricity supply and dem...
Models, Theoretical Weather Forecasting Wind Neural Networks, Computer
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Comparative analysis of different Karnal bunt disease prediction models developed by machine learning techniques for Punjab conditions.

International journal of biometeorology May 28, 2024
Timely prediction of pathogen is important key factor to reduce the quality and yield losses. Wheat is major crop in northern part of India. In Punjab, wheat face challenge by different diseases so the study was conducted for two locations viz. Ludhi...
Machine Learning Triticum Weather Plant Diseases India Models, Theoretical
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Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.

International journal of biometeorology Apr 27, 2024
Cotton is a major economic crop predominantly cultivated under rainfed situations. The accurate prediction of cotton yield invariably helps farmers, industries, and policy makers. The final cotton yield is mostly determined by the weather patterns th...
Regression Analysis Weather Forecasting Models, Theoretical Gossypium Rain Neural Networks, Computer Machine Learning
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Unmasking the sky: high-resolution PM prediction in Texas using machine learning techniques.

Journal of exposure science & environmental epidemiology Apr 1, 2024
BACKGROUND: Although PM (fine particulate matter with an aerodynamic diameter less than 2.5 µm) is an air pollutant of great concern in Texas, limited regulatory monitors pose a significant challenge for decision-making and environmental studies.
Humans Machine Learning Environmental Monitoring Weather Aerosols Satellite Imagery Texas Air Pollution Particle Size Particulate Matter Air Pollutants
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Short-term power load forecasting method based on Bagging-stochastic configuration networks.

PloS one Mar 19, 2024
Accurate short-term load forecasting is of great significance in improving the dispatching efficiency of power grids, ensuring the safe and reliable operation of power grids, and guiding power systems to formulate reasonable production plans and redu...
Neural Networks, Computer Computer Simulation Algorithms Weather Forecasting
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Convolutional Neural Networks Facilitate Process Understanding of Megacity Ozone Temporal Variability.

Environmental science & technology Mar 15, 2024
Ozone pollution is profoundly modulated by meteorological features such as temperature, air pressure, wind, and humidity. While many studies have developed empirical models to elucidate the effects of meteorology on ozone variability, they predominan...
Environmental Monitoring Air Pollutants Weather Neural Networks, Computer Seasons Ozone China
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Parallel prediction of dengue cases with different risks in Mexico using an artificial neural network model considering meteorological data.

International journal of biometeorology Mar 8, 2024
In 2022, Mexico registered an increase in dengue cases compared to the previous year. On the other hand, the amount of precipitation reported annually was slightly less than the previous year. Similarly, the minimum-mean-maximum temperatures recorded...
Weather Risk Dengue Temperature Mexico Humans Neural Networks, Computer
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Conductive interpenetrating network organohydrogels of gellan gum/polypyrrole with weather-tolerance, piezoresistive sensing and shape-memory capability.

International journal of biological macromolecules Feb 15, 2024
To develop ecofriendly multifunctional gel materials for sustainable flexible electronic devices, composite organohydrogels of gellan gum (GG) and polypyrrole (PPy) with an interpenetrating network structure (IPN-GG/PPy organohydrogels) were develope...
Artificial Intelligence Polymers Hydrogels Polysaccharides, Bacterial Weather Pyrroles Electric Conductivity
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Anthropogenic fingerprints in daily precipitation revealed by deep learning.

Nature Aug 30, 2023
According to twenty-first century climate-model projections, greenhouse warming will intensify rainfall variability and extremes across the globe. However, verifying this prediction using observations has remained a substantial challenge owing to lar...
Tropical Climate Pacific Ocean Deep Learning Climate Models Human Activities Neural Networks, Computer Weather Rain Global Warming Temperature Hydrology
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