AIMC Topic: Ecological Parameter Monitoring

Clear Filters Showing 1 to 6 of 6 articles

Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source.

Scientific reports Nov 11, 2022
Dust storms have many negative consequences, and affect all kinds of ecosystems, as well as climate and weather conditions. Therefore, classification of dust storm sources into different susceptibility categories can help us mitigate its negative eff...
Neural Networks, Computer Algorithms Ecosystem Deep Learning Dust Ecological Parameter Monitoring
View on PubMed DOI

Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning.

PloS one Mar 18, 2021
The Dendrocephalus brasiliensis, a native species from South America, is a freshwater crustacean well explored in conservational and productive activities. Its main characteristics are its rusticity and resistance cysts production, in which the hatch...
Animals Deep Learning Image Processing, Computer-Assisted Fresh Water South America Ecological Parameter Monitoring Anostraca
View on PubMed DOI

A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis.

Scientific reports Sep 4, 2020
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale datasets. Ho...
Animals Ecosystem Deep Learning Australia Fishes Behavior, Animal Fisheries Ecological Parameter Monitoring
View on PubMed DOI

Enhanced convolutional neural network for plankton identification and enumeration.

PloS one Jul 10, 2019
Despite the rapid increase in the number and applications of plankton imaging systems in marine science, processing large numbers of images remains a major challenge due to large variations in image content and quality in different marine environment...
Animals Deep Learning Support Vector Machine Video Recording Datasets as Topic Zooplankton Pacific Ocean Ecological Parameter Monitoring
View on PubMed DOI

Estimating regional effects of climate change and altered land use on biosphere carbon fluxes using distributed time delay neural networks with Bayesian regularized learning.

Neural networks : the official journal of the International Neural Network Society Aug 16, 2018
The ability to accurately predict changes of the carbon and energy balance on a regional scale is of great importance for assessing the effect of land use changes on carbon sequestration under future climate conditions. Here, a suite of land cover-sp...
Neural Networks, Computer Machine Learning Models, Theoretical Carbon Bayes Theorem Climate Change Atmosphere Carbon Cycle Ecological Parameter Monitoring Oregon
View on PubMed DOI

Deep learning and computer vision will transform entomology.

Proceedings of the National Academy of Sciences of the United States of America Jan 12, 2021
Most animal species on Earth are insects, and recent reports suggest that their abundance is in drastic decline. Although these reports come from a wide range of insect taxa and regions, the evidence to assess the extent of the phenomenon is sparse. ...
Animals Deep Learning Entomology Insecta Ecological Parameter Monitoring
View on PubMed DOI
Popular Topics
Recent Journals