AIMC Topic: Seasons

Clear Filters Showing 111 to 120 of 189 articles

Yield prediction with machine learning algorithms and satellite images.

Journal of the science of food and agriculture Aug 24, 2020
BACKGROUND: Barley is one of the strategic agricultural products available in the world, and yield prediction is important for ensuring food security. One way of estimating a product is to use remote sensing data in conjunction with field data and me...
Agriculture Remote Sensing Technology Seasons Hordeum Machine Learning Algorithms
View on PubMed DOI

A novel soft sensor based warning system for hazardous ground-level ozone using advanced damped least squares neural network.

Ecotoxicology and environmental safety Aug 22, 2020
Estimation of hazardous air pollutants in the urban environment for maintaining public safety is a significant concern to mankind. In this paper, we have developed an efficient air quality warning system based on a low-cost and robust ground-level oz...
Air Pollutants Air Pollution Ozone Least-Squares Analysis Cities Seasons Neural Networks, Computer Environmental Monitoring Atmosphere Algorithms Taiwan
View on PubMed DOI

Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018.

Scientific reports Jul 22, 2020
Hand-foot-and-month disease (HFMD), especially the enterovirus A71 (EV-A71) subtype, is a major health problem in Beijing, China. Previous studies mainly used regressive models to forecast the prevalence of HFMD, ignoring its intrinsic age groups. Th...
Humans Databases, Factual Female Models, Theoretical Seasons Beijing Hand, Foot and Mouth Disease Enterovirus A, Human Disease Outbreaks Deep Learning Infant, Newborn Child, Preschool Animals Child Infant
View on PubMed DOI

Heavy metals in submicronic particulate matter (PM) from a Chinese metropolitan city predicted by machine learning models.

Chemosphere Jul 8, 2020
The aim of this study was to establish a method for predicting heavy metal concentrations in PM (aerosol particles with an aerodynamic diameter ≤ 1.0 μm) based on back propagation artificial neural network (BP-ANN) and support vector machine (SVM) me...
Particulate Matter Environmental Exposure Coronavirus Infections Seasons Support Vector Machine Air Pollutants Air Pollution Pneumonia, Viral Aerosols Metals, Heavy Meteorological Concepts Betacoronavirus COVID-19 Computer Simulation Wind SARS-CoV-2 China Cities Environmental Monitoring Humans Neural Networks, Computer Pandemics
View on PubMed DOI

Environmental influences on evolvable robots.

PloS one May 29, 2020
The field of Evolutionary Robotics addresses the challenge of automatically designing robotic systems. Furthermore, the field can also support biological investigations related to evolution. In this paper, we evolve (simulated) modular robots under d...
Algorithms Phenotype Robotics Seasons Environment
View on PubMed DOI

Deep learning for predicting the occurrence of cardiopulmonary diseases in Nanjing, China.

Chemosphere May 27, 2020
The efficiency of disease prevention and medical care service necessitated the prediction of incidence. However, predictive accuracy and power were largely impeded in a complex system including multiple environmental stressors and health outcome of w...
Nitrogen Dioxide Air Pollution Particulate Matter Seasons Deep Learning Humans China Cardiovascular Diseases Incidence Air Pollutants
View on PubMed DOI

UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture.

Sensors (Basel, Switzerland) Apr 29, 2020
Precision agriculture is considered to be a fundamental approach in pursuing a low-input, high-efficiency, and sustainable kind of agriculture when performing site-specific management practices. To achieve this objective, a reliable and updated descr...
Remote Sensing Technology Italy Seasons Crops, Agricultural Satellite Imagery Machine Learning Farms Agriculture Plant Leaves Neural Networks, Computer
View on PubMed DOI

Modelling the monthly abundance of Culicoides biting midges in nine European countries using Random Forests machine learning.

Parasites & vectors Apr 15, 2020
BACKGROUND: Culicoides biting midges transmit viruses resulting in disease in ruminants and equids such as bluetongue, Schmallenberg disease and African horse sickness. In the past decades, these diseases have led to important economic losses for far...
Machine Learning Animals Insect Vectors Ceratopogonidae Europe Population Dynamics Ecosystem Seasons Farms Climate Models, Theoretical
View on PubMed DOI

Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques.

Sensors (Basel, Switzerland) Feb 6, 2020
Warm-season legumes have been receiving increased attention as forage resources in the southern United States and other countries. However, the near infrared spectroscopy (NIRS) technique has not been widely explored for predicting the forage quality...
Reproducibility of Results Spectroscopy, Near-Infrared Seasons Machine Learning Fabaceae Calibration Temperature Animal Feed
View on PubMed DOI

Regular cold water swimming during winter time affects resting hematological parameters and serum erythropoietin.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society Jan 30, 2020
Recreational winter swimming in cold sea water evokes body responses to regularly repeated cold water immersion. However, the understanding of adaptive changes is still limited and data regarding very short-term exposure to severe cold stress are sca...
Cold Temperature Hematocrit Middle Aged Humans Folic Acid Water Immunoglobulins Female Swimming Hemoglobins Erythropoietin Male Seasons Erythrocytes Rest Blood Cell Count Blood Platelets
View on PubMed DOI
Popular Topics
Recent Journals