AIMC Topic: Climate

Clear Filters Showing 31 to 40 of 78 articles

An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation.

Journal of environmental management Nov 29, 2022
Evaporation is an important hydrological process in the water cycle, especially for water bodies. Machine Learning (ML) models have become accurate and powerful tools in predicting pan evaporation. Meanwhile, the "black-box" character and the consist...
Climate Physical Phenomena Machine Learning Reproducibility of Results Neural Networks, Computer
View on PubMed DOI

Deep learning approach for prediction of exergy and emission parameters of commercial high by-pass turbofan engines.

Environmental science and pollution research international Nov 16, 2022
Aviation emissions originated from the fuel burn have been hot topics by engineers and policy-makers due to their harmful effects on the environment and thereby human health as well as sustainability. In this study, it is tried that several emission ...
Humans Aircraft Climate Vehicle Emissions Deep Learning Air Pollutants
View on PubMed DOI

Mapping Local Climate Zones in the Urban Environment: The Optimal Combination of Data Source and Classifier.

Sensors (Basel, Switzerland) Aug 25, 2022
The novel concept of local climate zones (LCZs) provides a consistent classification framework for studies of the urban thermal environment. However, the development of urban climate science is severely hampered by the lack of high-resolution data to...
Neural Networks, Computer Algorithms Climate Information Storage and Retrieval
View on PubMed DOI

Rainfall prediction using multiple inclusive models and large climate indices.

Environmental science and pollution research international Jul 6, 2022
Rainfall prediction is vital for the management of available water resources. Accordingly, this study used large lagged climate indices to predict rainfall in Iran's Sefidrood basin. A radial basis function neural network (RBFNN) and a multilayer per...
Climate Neural Networks, Computer Algorithms Uncertainty Hydrology
View on PubMed DOI

MODWT-ANN hybrid models for daily precipitation estimates with time-delayed entries in Amazon region.

Environmental monitoring and assessment Mar 25, 2022
Hydrological analyses based on precipitation records in the Amazon are essential due to their importance in climate regulation and regional and global atmospheric circulation. However, there are limitations related to data series with short periods a...
Neural Networks, Computer Environmental Monitoring Climate Hydrology
View on PubMed DOI

Causal discovery of drivers of surface ozone variability in Antarctica using a deep learning algorithm.

Environmental science. Processes & impacts Mar 23, 2022
The discovery of causal structures behind a phenomenon under investigation has been at the heart of scientific inquiry since the beginning. Randomized control trials, the gold standard for causal analysis, may not always be feasible, such as in the d...
Ozone Climate Antarctic Regions Deep Learning
View on PubMed DOI

Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.

Scientific reports Nov 8, 2021
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in China, Japan, and Korea. This study aimed to estimate the monthly SFTS occurrence and the monthly number of SFTS cases in the geographical area in Kore...
Epidemiological Models Mountaineering Middle Aged Regression Analysis Climate Travel-Related Illness Severe Fever with Thrombocytopenia Syndrome Aged Male Female Risk Factors Humans Computer Simulation Republic of Korea Machine Learning
View on PubMed DOI

Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression.

Computational and mathematical methods in medicine Oct 13, 2021
COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumul...
Models, Statistical Communicable Diseases Geography Least-Squares Analysis Spatial Regression COVID-19 Climate Humans Machine Learning China Algorithms SARS-CoV-2 Cities Reproducibility of Results Epidemics Social Class Computational Biology Environmental Monitoring
View on PubMed DOI

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...
Floods Forecasting Machine Learning ROC Curve Climate
View on PubMed DOI

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...
Fuzzy Logic Cluster Analysis Spatial Analysis Linear Models Models, Statistical Geographic Information Systems Incidence Brucellosis Humans Neural Networks, Computer Animals Climate
View on PubMed DOI
Popular Topics
Recent Journals