AIMC Topic: Population Dynamics
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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...
Existence and stability of periodic solution of impulsive neural systems with complex deviating arguments.
Journal of biological dynamics
Nov 14, 2014
This paper discusses a class of impulsive neural networks with the variable delay and complex deviating arguments. By using Mawhin's continuation theorem of coincidence degree and the Halanay-type inequalities, several sufficient conditions for impul...
Machine-learning approach facilitates prediction of whitefly spatiotemporal dynamics in a plant canopy.
Journal of economic entomology
Apr 26, 2025
Plant-specific insect scouting and prediction are still challenging in most crop systems. In this article, a machine-learning algorithm is proposed to predict populations during whiteflies (Bemisia tabaci, Hemiptera; Gennadius Aleyrodidae) scouting a...
Counting penguins with drones.
Science robotics
Oct 28, 2020
A multidrone path-planning algorithm enables drones to scout Adélie penguin colonies in Antarctica.
Multidrone aerial surveys of penguin colonies in Antarctica.
Science robotics
Oct 28, 2020
Speed is essential in wildlife surveys due to the dynamic movement of animals throughout their environment and potentially extreme changes in weather. In this work, we present a multirobot path-planning method for conducting aerial surveys over large...
Computation Through Neural Population Dynamics.
Annual review of neuroscience
Jul 8, 2020
Significant experimental, computational, and theoretical work has identified rich structure within the coordinated activity of interconnected neural populations. An emerging challenge now is to uncover the nature of the associated computations, how t...
On discrete time Beverton-Holt population model with fuzzy environment.
Mathematical biosciences and engineering : MBE
Feb 21, 2019
In this work, dynamical behaviors of discrete time Beverton-Holt population model with fuzzy parameters are studied. It provides a flexible model to fit population data. For three different fuzzy parameters and fuzzy initial conditions, according to ...
Small cities face greater impact from automation.
Journal of the Royal Society, Interface
Feb 1, 2018
The city has proved to be the most successful form of human agglomeration and provides wide employment opportunities for its dwellers. As advances in robotics and artificial intelligence revive concerns about the impact of automation on jobs, a quest...
Distribution of the deep-sea genus Bathypterois (Pisces: Ipnopidae) in the Eastern Central Pacific.
Revista de biologia tropical
Mar 1, 2017
The genus Bathypterois (tripod fish) comprises 19 species of deep-sea fishes distributed worldwide. The biology and distribution of the species of this genus are relatively poorly known throughout the Eastern Central Pacific (ECP). This work aims to ...
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