AIMC Topic: Seasons

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A new backpropagation neural network classification model for prediction of incidence of malaria.

Frontiers in bioscience (Landmark edition) Jan 1, 2020
Malaria is an infectious disease caused by parasitic protozoans of the Plasmodium family. These parasites are transmitted by mosquitos which are common in certain parts of the world. Based on their specific climates, these regions have been classifie...
Incidence India Models, Theoretical Algorithms Temperature Reproducibility of Results Humidity Geography Rain Support Vector Machine Malaria Seasons Humans Neural Networks, Computer
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Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.

BMC bioinformatics Dec 24, 2019
BACKGROUND: The occurrence of cotton pests and diseases has always been an important factor affecting the total cotton production. Cotton has a great dependence on environmental factors during its growth, especially climate change. In recent years, m...
Temperature ROC Curve Area Under Curve Neural Networks, Computer Humidity Gossypium Seasons Plant Diseases Climate
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Epidemiological Features of Human Brucellosis in Iran (2011-2018) and Prediction of Brucellosis with Data-Mining Models.

Journal of research in health sciences Dec 4, 2019
BACKGROUND: Brucellosis is known as the major zoonotic disease. We aimed to compare the performance of some data-mining models in predicting the monthly brucellosis cases in Iran.
Models, Statistical Seasons Iran Incidence Brucellosis Support Vector Machine Data Mining Zoonoses Humans Female Adult Animals Male Middle Aged
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A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level.

Global change biology Dec 2, 2019
Understanding large-scale crop growth and its responses to climate change are critical for yield estimation and prediction, especially under the increased frequency of extreme climate and weather events. County-level corn phenology varies spatially a...
Deep Learning Neural Networks, Computer Zea mays Seasons Climate Change
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The effect of climate change on cholera disease: The road ahead using artificial neural network.

PloS one Nov 6, 2019
Climate change has been described to raise outbreaks of water-born infectious diseases and increases public health concerns. This study aimed at finding out these impacts on cholera infections by using Artificial Neural Networks (ANNs) from 2021 to 2...
Time Factors Seasons Iran Humans Climate Change Neural Networks, Computer Geography Computer Simulation Cholera
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Machine Learning-Based Forecast of Hemorrhagic Stroke Healthcare Service Demand considering Air Pollution.

Journal of healthcare engineering Nov 3, 2019
This study aimed to forecast the pattern of the demand for hemorrhagic stroke healthcare services based on air quality and machine learning. Hemorrhagic stroke, air quality, and meteorological data for 2016-2017 were obtained from the Longquanyi Dist...
China Forecasting Stroke Humans Models, Statistical Databases, Factual Seasons Machine Learning Air Pollution Hospitalization Health Services Needs and Demand
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Integrating environmental and neighborhood factors in MaxEnt modeling to predict species distributions: A case study of Aedes albopictus in southeastern Pennsylvania.

PloS one Oct 17, 2019
Aedes albopictus is a viable vector for several infectious diseases such as Zika, West Nile, Dengue viruses and others. Originating from Asia, this invasive species is rapidly expanding into North American temperate areas and urbanized places causing...
Population Density Seasons Aedes Pennsylvania Ecosystem Machine Learning ROC Curve Temperature Area Under Curve Animals
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Nonpooling Convolutional Neural Network Forecasting for Seasonal Time Series With Trends.

IEEE transactions on neural networks and learning systems Sep 4, 2019
This article focuses on a problem important to automatic machine learning: the automatic processing of a nonpreprocessed time series. The convolutional neural network (CNN) is one of the most popular neural network (NN) algorithms for pattern recogni...
Databases, Factual Time Factors Seasons Machine Learning Forecasting Humans Neural Networks, Computer
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Machine Learning Model for Imbalanced Cholera Dataset in Tanzania.

TheScientificWorldJournal Jul 25, 2019
Cholera epidemic remains a public threat throughout history, affecting vulnerable population living with unreliable water and substandard sanitary conditions. Various studies have observed that the occurrence of cholera has strong linkage with enviro...
Humans Machine Learning Seasons World Health Organization Databases as Topic Tanzania Rain Cholera
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Reconstruction of long-distance bird migration routes using advanced machine learning techniques on geolocator data.

Journal of the Royal Society, Interface Jun 19, 2019
Geolocators are a well-established technology to reconstruct migration routes of animals that are too small to carry satellite tags (e.g. passerine birds). These devices record environmental light-level data that enable the reconstruction of daily po...
Models, Biological Seasons Animal Migration Swallows Machine Learning Animals Geographic Information Systems
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