AIMC Topic: Weather

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Federated learning based reference evapotranspiration estimation for distributed crop fields.

PloS one Feb 5, 2025
Water resource management and sustainable agriculture rely heavily on accurate Reference Evapotranspiration (ETo). Efforts have been made to simplify the (ETo) estimation using machine learning models. The existing approaches are limited to a single ...
Crops, Agricultural Plant Transpiration Federated Learning Agriculture Weather Pakistan Machine Learning
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Novel Machine-Learning Modeling of Facial Trauma Volume With Regional Event and Weather Data.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jan 15, 2025
OBJECTIVE: Facial trauma volume is difficult to predict accurately. We aim to understand the capacity of climate and regional events to predict daily facial trauma volume. This can provide epidemiologic understanding and subsequently tailor workforce...
Male Weather Facial Injuries Retrospective Studies Adult Humans Machine Learning
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A Systematic Review of Features Forecasting Patient Arrival Numbers.

Computers, informatics, nursing : CIN Jan 1, 2025
Adequate nurse staffing is crucial for quality healthcare, necessitating accurate predictions of patient arrival rates. These forecasts can be determined using supervised machine learning methods. Optimization of machine learning methods is largely a...
Forecasting Internet Weather Humans Machine Learning
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A deep transfer learning based convolution neural network framework for air temperature classification using human clothing images.

Scientific reports Dec 30, 2024
Weather recognition is crucial due to its significant impact on various aspects of daily life, such as weather prediction, environmental monitoring, tourism, and energy production. Several studies have already conducted research on image-based weathe...
Clothing Environmental Monitoring Weather Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted Temperature Humans
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Soil temperature estimation at different depths using machine learning paradigms based on meteorological data.

Environmental monitoring and assessment Dec 26, 2024
Knowledge of soil temperature (ST) is important for analysing environmental conditions and climate change. Moreover, ST is a vital element of soil that impacts crop growth as well as the germination of the seeds. In this study, four machine-learning ...
Climate Change Fuzzy Logic Weather Machine Learning Temperature India Environmental Monitoring Soil Neural Networks, Computer
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Development of multistage crop yield estimation model using machine learning and deep learning techniques.

International journal of biometeorology Dec 7, 2024
In this research paper, machine learning techniques were applied to a multivariate meteorological time series data for estimating the wheat yield of five districts of Punjab. Wheat yield data and weather parameters over 34 years were collected from t...
Neural Networks, Computer Machine Learning Models, Theoretical Triticum Weather Deep Learning India Crops, Agricultural
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Comparison of RNN-LSTM, TFDF and stacking model approach for weather forecasting in Bangladesh using historical data from 1963 to 2022.

PloS one Sep 19, 2024
Forecasting the weather in an area characterized by erratic weather patterns and unpredictable climate change is a challenging endeavour. The weather is classified as a non-linear system since it is influenced by various factors that contribute to cl...
Humidity Decision Trees Climate Change Machine Learning Data Mining Weather Humans Bangladesh Forecasting Neural Networks, Computer
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Statistical and machine learning models for location-specific crop yield prediction using weather indices.

International journal of biometeorology Aug 31, 2024
Crop yield prediction gains growing importance for all stakeholders in agriculture. Since the growth and development of crops are fully connected with many weather factors, it is inevitable to incorporate meteorological information into yield predict...
Models, Statistical Weather Crops, Agricultural Neural Networks, Computer Machine Learning
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Artificial neural networks as a tool for seasonal forecast of attack intensity of Spodoptera spp. in Bt soybean.

International journal of biometeorology Aug 13, 2024
Soybean (Glycine max) is the world's most cultivated legume; currently, most of its varieties are Bt. Spodoptera spp. (Lepidoptera: Noctuidae) are important pests of soybean. An artificial neural network (ANN) is an artificial intelligence tool that ...
Neural Networks, Computer Forecasting Larva Weather Animals Plants, Genetically Modified Seasons Spodoptera Glycine max
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Recognition of aggressive driving behavior under abnormal weather based on Convolutional Neural Network and transfer learning.

Traffic injury prevention Jul 24, 2024
OBJECTIVES: Aggressive driving behavior can lead to potential traffic collision risks, and abnormal weather conditions can exacerbate this behavior. This study aims to develop recognition models for aggressive driving under various climate conditions...
Neural Networks, Computer Machine Learning Computer Simulation Humans Weather Automobile Driving Aggression Adult Male
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