AIMC Topic: Population Dynamics
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Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network.
Scientific reports
Nov 5, 2021
Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commonly used compartmental models struggle to handle an epidemiological process that evolves rapidly and is spatially heterogeneous. On the other hand, ma...
Complex population dynamics in a spatial microbial ecosystem with Physarum polycephalum.
Bio Systems
Jul 14, 2021
This research addresses the interactions between the unicellular slime mold Physarum polycephalum and a red yeast in a spatial ecosystem over week-long imaging experiments. An inverse relationship between the growth rates of both species is shown, wh...
Towards sustainable demersal fisheries: NepCon image acquisition system for automatic Nephrops norvegicus detection.
PloS one
Jun 16, 2021
Underwater video monitoring systems are being widely used in fisheries to investigate fish behavior in relation to fishing gear and fishing gear performance during fishing. Such systems can be useful to evaluate the catch composition as well. In deme...
Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome.
Nature communications
Mar 26, 2021
The stomach is inhabited by diverse microbial communities, co-existing in a dynamic balance. Long-term use of drugs such as proton pump inhibitors (PPIs), or bacterial infection such as Helicobacter pylori, cause significant microbial alterations. Ye...
Forecasting influenza activity using machine-learned mobility map.
Nature communications
Feb 9, 2021
Human mobility is a primary driver of infectious disease spread. However, existing data is limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease dynamics are crucial for decision-making by health officials a...
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...
Explore the relationship between fish community and environmental factors by machine learning techniques.
Environmental research
Feb 17, 2020
In the face of multiple habitat alterations originating from both natural and anthropogenic factors, the fast-changing environments pose significant challenges for maintaining ecosystem integrity. Machine learning is a powerful tool for modeling comp...
Social and nutritional factors shape larval aggregation, foraging, and body mass in a polyphagous fly.
Scientific reports
Oct 3, 2018
The majority of insect species have a clearly defined larval stage during development. Larval nutrition is crucial for individuals' growth and development, and larval foraging success often depends on both resource availability and competition for th...
Vertical zonation and functional diversity of fish assemblages revealed by ROV videos at oil platforms in The Gulf.
Journal of fish biology
Aug 3, 2017
An assessment of vertical distribution, diel migration, taxonomic and functional diversity of fishes was carried out at offshore platforms in The (Arabian-Iranian-Persian) Gulf. Video footage was recorded at the Al Shaheen oil field between 2007 and ...
Modeling Dynamic Systems with Efficient Ensembles of Process-Based Models.
PloS one
Apr 14, 2016
Ensembles are a well established machine learning paradigm, leading to accurate and robust models, predominantly applied to predictive modeling tasks. Ensemble models comprise a finite set of diverse predictive models whose combined output is expecte...
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