AIMC Topic: Climate

Clear Filters Showing 31 to 40 of 80 articles

A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention.

International journal of environmental research and public health Feb 25, 2023
This research aims to predict dengue fever cases in Malaysia using machine learning techniques. A dataset consisting of weekly dengue cases at the state level in Malaysia from 2010 to 2016 was obtained from the Malaysia Open Data website and includes...
Climate Dengue Deep Learning Malaysia Humans Machine Learning
View on PubMed DOI

Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation.

Journal of medical Internet research Feb 13, 2023
BACKGROUND: In megacities, there is an urgent need to establish more sensitive forecasting and early warning methods for acute respiratory infectious diseases. Existing prediction and early warning models for influenza and other acute respiratory inf...
Humans Influenza, Human Climate Epidemics Forecasting Deep Learning
View on PubMed DOI

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...
Machine Learning Reproducibility of Results Climate Neural Networks, Computer Physical Phenomena
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 ...
Aircraft Climate Deep Learning Vehicle Emissions Humans 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...
Algorithms Information Storage and Retrieval Neural Networks, Computer Climate
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...
Hydrology Neural Networks, Computer Climate Uncertainty Algorithms
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...
Hydrology Environmental Monitoring Climate Neural Networks, Computer
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...
Antarctic Regions Ozone Climate 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...
Female Risk Factors Male Middle Aged Epidemiological Models Aged Climate Regression Analysis Mountaineering Travel-Related Illness Humans Computer Simulation Severe Fever with Thrombocytopenia Syndrome Machine Learning Republic of Korea
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 Least-Squares Analysis Social Class Climate Computational Biology Communicable Diseases Geography Epidemics Environmental Monitoring COVID-19 Reproducibility of Results Spatial Regression China SARS-CoV-2 Algorithms Humans Cities Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals