AIMC Topic: Weather

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Detection of Safe Passage for Trains at Rail Level Crossings Using Deep Learning.

Sensors (Basel, Switzerland) Sep 18, 2021
The detection of obstacles at rail level crossings (RLC) is an important task for ensuring the safety of train traffic. Traffic control systems require reliable sensors for determining the state of anRLC. Fusion of information from a number of sensor...
Weather Seasons Railroads Deep Learning Accidents, Traffic
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The Short-Term Load Forecasting for Special Days Based on Bagged Regression Trees in Qingdao, China.

Computational intelligence and neuroscience Sep 15, 2021
There are many factors that affect short-term load forecasting performance, such as weather and holidays. However, most of the existing load forecasting models lack more detailed considerations for some special days. In this paper, the applicability ...
China Neural Networks, Computer Weather Forecasting
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Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts.

Nature communications Jul 28, 2021
This study aims to develop and validate prediction models for the number of all heatstroke cases, and heatstrokes of hospital admission and death cases per city per 12 h, using multiple weather information and a population-based database for heatstro...
Humans Machine Learning Temperature Weather Heat Stroke Data Management Registries
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Crop yield prediction integrating genotype and weather variables using deep learning.

PloS one Jun 17, 2021
Accurate prediction of crop yield supported by scientific and domain-relevant insights, is useful to improve agricultural breeding, provide monitoring across diverse climatic conditions and thereby protect against climatic challenges to crop producti...
Plant Breeding Crops, Agricultural Neural Networks, Computer Genotype Glycine max Deep Learning Weather
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Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.

PloS one May 19, 2021
Effective and timely disease surveillance systems have the potential to help public health officials design interventions to mitigate the effects of disease outbreaks. Currently, healthcare-based disease monitoring systems in France offer influenza a...
Influenza, Human Humans Weather Social Media Information Storage and Retrieval Models, Statistical Electronic Health Records Epidemiological Monitoring France Machine Learning Internet Disease Outbreaks Public Health Surveillance Forecasting Computer Systems
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Prediction of COVID-19 cases using the weather integrated deep learning approach for India.

Transboundary and emerging diseases Apr 20, 2021
Advanced and accurate forecasting of COVID-19 cases plays a crucial role in planning and supplying resources effectively. Artificial Intelligence (AI) techniques have proved their capability in time series forecasting non-linear problems. In the pres...
Artificial Intelligence Weather Deep Learning India COVID-19 Animals
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Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm.

Computational intelligence and neuroscience Apr 13, 2021
Emotion recognition is a research hotspot in the field of artificial intelligence. If the human-computer interaction system can sense human emotion and express emotion, it will make the interaction between the robot and human more natural. In this pa...
Technology Artificial Intelligence Humans Emotions Algorithms Weather Support Vector Machine
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Generalizability of machine learning models and empirical equations for the estimation of reference evapotranspiration from temperature in a semiarid region.

Anais da Academia Brasileira de Ciencias Mar 26, 2021
The Penman-Monteith equation is recommended for the estimation of reference evapotranspiration (ETo). However, it requires meteorological data that are commonly unavailable. Thus, this study evaluates artificial neural network (ANN), multivariate ada...
Weather Machine Learning Temperature Neural Networks, Computer
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A generative adversarial network approach to (ensemble) weather prediction.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2021
We use a conditional deep convolutional generative adversarial network to predict the geopotential height of the 500 hPa pressure level, the two-meter temperature and the total precipitation for the next 24 h over Europe. The proposed models are trai...
Neural Networks, Computer Forecasting Monte Carlo Method Uncertainty Deep Learning Weather
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Domain randomization-enhanced deep learning models for bird detection.

Scientific reports Jan 12, 2021
Automatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the d...
Environment Animal Migration Birds Deep Learning Weather Random Allocation Animals
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