AIMC Topic: Climate

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Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future.

Journal of environmental management Aug 17, 2021
The predicts current and future flood risk in the Kalvan watershed of northwestern Markazi Province, Iran. To do this, 512 flood and non-flood locations were identified and mapped. Twenty flood-risk factors were selected to model flood risk using sev...
ROC Curve Climate Floods Machine Learning Forecasting
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Spatial prediction of human brucellosis (HB) using a GIS-based adaptive neuro-fuzzy inference system (ANFIS).

Acta tropica May 9, 2021
OBJECTIVE: This study pursues three main objectives: 1) exploring the spatial distribution patterns of human brucellosis (HB); 2) identifying parameters affecting the disease spread; and 3) modeling and predicting the spatial distribution of HB cases...
Animals Geographic Information Systems Brucellosis Fuzzy Logic Incidence Humans Neural Networks, Computer Spatial Analysis Linear Models Cluster Analysis Climate Models, Statistical
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Determining suitable machine learning classifier technique for prediction of malaria incidents attributed to climate of Odisha.

International journal of environmental health research Mar 26, 2021
This study investigated the influence of climate factors on malaria incidence in the Sundargarh district, Odisha, India. The WEKA machine learning tool was used with two classifier techniques, Multi-Layer Perceptron (MLP) and J48, with three test opt...
Neural Networks, Computer Machine Learning Malaria Humans Seasons Climate
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Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt.

Scientific reports Jan 15, 2021
This study investigates whether coupling crop modeling and machine learning (ML) improves corn yield predictions in the US Corn Belt. The main objectives are to explore whether a hybrid approach (crop modeling + ML) would result in better predictions...
United States Zea mays Climate Machine Learning Crop Production
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The Prediction of Hepatitis E through Ensemble Learning.

International journal of environmental research and public health Dec 28, 2020
According to the World Health Organization, about 20 million people are infected with Hepatitis E every year. In 2015, there were 44,000 deaths due to HEV infection worldwide. Food, water and climate are key factors that affect the outbreak of Hepati...
Climate Hepatitis E Models, Theoretical Water Quality Machine Learning Humans Disease Outbreaks
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The Influence of Climate Parameters on Maintenance of Wind Farms-A Galician Case Study.

Sensors (Basel, Switzerland) Dec 23, 2020
There are different monitoring procedures in wind farms with two main objectives: (i) to improve energy production by the capability of the national electrical network and (ii) to reduce the stooped hours due to preventive and or corrective maintenan...
Energy-Generating Resources Artificial Intelligence Wind Climate Spain Weather
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Cherry Tomato Production in Intelligent Greenhouses-Sensors and AI for Control of Climate, Irrigation, Crop Yield, and Quality.

Sensors (Basel, Switzerland) Nov 11, 2020
Greenhouses and indoor farming systems play an important role in providing fresh and nutritious food for the growing global population. Farms are becoming larger and greenhouse growers need to make complex decisions to maximize production and minimiz...
Agriculture Solanum lycopersicum Climate Betacoronavirus Coronavirus Infections Humans COVID-19 SARS-CoV-2 Artificial Intelligence Pneumonia, Viral Pandemics
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Improving area of occupancy estimates for parapatric species using distribution models and support vector machines.

Ecological applications : a publication of the Ecological Society of America Nov 4, 2020
As geographic range estimates for the IUCN Red List guide conservation actions, accuracy and ecological realism are crucial. IUCN's extent of occurrence (EOO) is the general region including the species' range, while area of occupancy (AOO) is the su...
Ecosystem Mice Animals Climate Change Climate Support Vector Machine
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Understanding climate phenomena with data-driven models.

Studies in history and philosophy of science Aug 23, 2020
In climate science, climate models are one of the main tools for understanding phenomena. Here, we develop a framework to assess the fitness of a climate model for providing understanding. The framework is based on three dimensions: representational ...
Climate Knowledge Machine Learning
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Prioritizing and Analyzing the Role of Climate and Urban Parameters in the Confirmed Cases of COVID-19 Based on Artificial Intelligence Applications.

International journal of environmental research and public health May 25, 2020
Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmenta...
Coronavirus Infections Climate Betacoronavirus COVID-19 Cities Artificial Intelligence Algorithms Italy Pandemics Wind Humans Pneumonia, Viral SARS-CoV-2 Neural Networks, Computer Temperature
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