GPA

2013 ◽  
pp. 144-169
Author(s):  
Jeremy T. Bradley ◽  
Marcel C. Guenther ◽  
Richard A. Hayden ◽  
Anton Stefanek
Keyword(s):  
Performance Analysis ◽  
State Of The Art ◽  
Large Population ◽  
Population Models ◽  
Population Modelling ◽  
Solution Methods

This chapter discusses the latest trends and developments in performance analysis research of large population models. In particular, it reviews GPA, a state-of-the-art Multiformalism, Multisolution (MFMS) tool that provides a framework for the implementation of various population modelling formalisms and solution methods.

Projected population consequences of climate change

2019 ◽  
pp. 147-164 ◽  
Author(s):  
David Iles ◽  
Stéphanie Jenouvrier
Keyword(s):  
Climate Models ◽  
Population Models ◽  
Climate Projections ◽  
Population Modelling ◽  
Population Forecasts ◽  
Long Term Study ◽  
Climate Forecasts ◽  
Key Points ◽  
Avian Populations

To anticipate the future state of avian populations in a changing climate, forecasts must rigorously account for uncertainty in future climate and population processes. This requires fusing IPCC-class climate projections with population models. In this chapter, we review the steps for developing climate-dependent population forecasts, while highlighting key biological considerations and methodological challenges. Throughout, we use examples from a long-term study of emperor penguins (Aptenodytes forsteri) to illustrate key points. We then conduct a literature review to compile a list of studies that have linked IPCC climate models with avian population models. At present, only a handful of studies have fused IPCC climate projections with avian population models, and generalities across systems thus remain elusive. Yet, the increasing availability and sophistication of climate models, coupled with new population modelling methods, hold promise for reducing forecast uncertainties and improving the relevance of population forecasts for policy.

Performance Analysis of Anisotropic Diffusion Based Colour Texture Descriptors in Industrial Applications

2017 ◽  
Vol 7 (2) ◽  
pp. 50-63 ◽  
Author(s):  
Prakash S. Hiremath ◽  
Rohini A. Bhusnurmath
Keyword(s):  
Performance Analysis ◽  
Anisotropic Diffusion ◽  
State Of The Art ◽  
Texture Classification ◽  
Industrial Applications ◽  
Statistical Features ◽  
Linear Discriminant ◽  
Class Separability ◽  
Novel Method

A novel method of colour texture analysis based on anisotropic diffusion for industrial applications is proposed and the performance analysis of colour texture descriptors is examined. The objective of the study is to explore different colour spaces for their suitability in automatic classification of certain textures in industrial applications, namely, granite tiles and wood textures, using computer vision. The directional subbands of digital image of material samples obtained using wavelet transform are subjected to anisotropic diffusion to obtain the texture components. Further, statistical features are extracted from the texture components. The linear discriminant analysis is employed to achieve class separability. The texture descriptors are evaluated on RGB, HSV, YCbCr, Lab colour spaces and compared with gray scale texture descriptors. The k-NN classifier is used for texture classification. For the experimentation, benchmark databases, namely, MondialMarmi and Parquet are considered. The experimental results are encouraging as compared to the state-of-the-art-methods.

Age-Grouping, Time-Specific Life-Tables, and Predictive Population Models

2021 ◽  
pp. 362-383
Author(s):  
Peter A. Henderson
Keyword(s):  
Developmental Stage ◽  
Food Availability ◽  
Life Tables ◽  
Population Models ◽  
Leslie Matrix ◽  
Population Modelling ◽  
Temperature Dependent ◽  
Animal Groups ◽  
Leslie Matrices ◽  
Time Specific

This chapter describes techniques to create life-tables for animals whose generations overlap widely. Age-grouping is a prerequisite for these methods, which have been most widely applied to vertebrate populations. Age cannot be inferred from the developmental stage without reference to the environment. The speed of development may be temperature-dependent or influenced by factors such as oxygen and food availability. The methods for ageing animal groups, including invertebrates, fish, reptiles, amphibians, birds, and mammals, are reviewed. Time-specific life-tables, population modelling, and Leslie matrices are described. R code to analyze Leslie matrix dynamics is presented.

scholarly journals Comparative Performance Analysis of State-of-the-Art Classification Algorithms Applied to Lung Tissue Categorization

2008 ◽  
Vol 23 (1) ◽  
pp. 18-30 ◽  
Author(s):  
Adrien Depeursinge ◽  
Jimison Iavindrasana ◽  
Asmâa Hidki ◽  
Gilles Cohen ◽  
Antoine Geissbuhler ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Lung Tissue ◽  
State Of The Art ◽  
Classification Algorithms ◽  
Comparative Performance

The time back to the most recent common ancestor in exchangeable population models

2004 ◽  
Vol 36 (01) ◽  
pp. 78-97 ◽  
Author(s):  
M. Möhle
Keyword(s):  
Population Size ◽  
Common Ancestor ◽  
Large Population ◽  
Upper Bounds ◽  
Population Models ◽  
Recent Common Ancestor ◽  
Coalescent Theory ◽  
Expected Time ◽  
Most Recent Common Ancestor ◽  
Haploid Population

A class of haploid population models with population size N, nonoverlapping generations and exchangeable offspring distribution is considered. Based on an analysis of the discrete ancestral process, we present solutions, algorithms and strong upper bounds for the expected time back to the most recent common ancestor which hold for arbitrary sample size n ∈ {1,…,N}. New insights into the asymptotic behaviour of the expected time back to the most recent common ancestor for large population size are presented relating the results to coalescent theory.

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