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Titre : Bayesian inference Type de document : Monographie Auteurs : Javier Prieto Tejedor, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2017 Importance : 378 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-953-51-3578-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Statistiques
[Termes IGN] estimation bayesienne
[Termes IGN] filtrage bayésien
[Termes IGN] inférence statistique
[Termes IGN] méthode de Monte-Carlo par chaînes de Markov
[Termes IGN] régression
[Termes IGN] réseau bayesienRésumé : (éditeur) The range of Bayesian inference algorithms and their different applications has been greatly expanded since the first implementation of a Kalman filter by Stanley F. Schmidt for the Apollo program. Extended Kalman filters or particle filters are just some examples of these algorithms that have been extensively applied to logistics, medical services, search and rescue operations, or automotive safety, among others. This book takes a look at both theoretical foundations of Bayesian inference and practical implementations in different fields. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics, as well as a source document of fundamentals for intermediate Bayesian readers. Note de contenu : 1- Bayesian inference application
2- Node-level conflict measures in Bayesian hierarchical models based on directed acyclic graphs
3- Classifying by Bayesian method and some applications
4- Hypothesis testing for high-dimensional problems
5- Bayesian vs frequentist power functions to determine the optimal sample size: testing one sample binomial proportion using exact methods
6- Converting graphic relationships into conditional probabilities in Bayesian network
7- Bayesian estimation of multivariate autoregressive hidden Markov model with application to breast cancer biomarker modeling
8- Bayesian model averaging and compromising in dose-response studies
9- Two examples of Bayesian evidence synthesis with the hierarchical meta-regression approach
10- Bayesian modeling in genetics and genomicsvvv
11- Bayesian two-stage robust causal modeling with instrumental variables using student's t distributions
12- Bayesian hypothesis testing: an alternative to null hypothesis significance testing (NHST) in psychology and social sciences
13- Bayesian inference and compressed sensing
14- Sparsity in Bayesian signal estimation
15- Dynamic Bayesian network for time-dependent classification problems in robotics
16- A Bayesian model for investment decisions in early ventures
17- Recent advances in nonlinear filtering with a financial application to derivatives hedging under incomplete information
18- Airlines content recommendations based on passengers' choice using Bayesian belief networksNuméro de notice : 25957 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/66264 En ligne : https://doi.org/10.5772/66264 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96464
Titre : Forest ecology and conservation Type de document : Monographie Auteurs : Gopal Shukla, Éditeur scientifique ; Sumit Chakravarty, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2017 Importance : 162 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-953-51-3090-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agroforesterie
[Termes IGN] changement d'utilisation du sol
[Termes IGN] conservation des ressources forestières
[Termes IGN] écosystème forestier
[Termes IGN] foresterie
[Termes IGN] gestion forestière durable
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) This book is dedicated to forest ecology and conservation on ecological and conservation aspects of forest. The book is divided into two sections: the first section "Forest Ecology" with four chapters deals with forest ecological aspects, while the second section "Forest Conservation" with two chapters looks into new techniques for conserving the forests. This book will bridge the gaps in the knowledge about some new emerging issues on forest ecology and conservation. It will be an interesting and helpful resource to all those in the field of forestry working for its sustainable use and conservation. Note de contenu : 1- Multi-species stand classification: Definition and perspectives
2- Effects of experimental sowing on agroforestry ecosystem primary production during recovery from agricultural abandonment in a semi-arid region of Central Western Spain
3- Methodological considerations in the study of earthworms in forest ecosystems
4- Characterizing predictability of fire occurrence in tropical forests and grasslands: The case of Puerto Rico
5- Remote sensing and forest conservation: Challenges of illegal logging in Kursumlija Municipality (Serbia)
6- From paper to carbon money: Financing forest conservation and offsetNuméro de notice : 25953 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Recueil / ouvrage collectif DOI : 10.5772/63322 En ligne : https://doi.org/10.5772/63322 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96407
Titre : Applications of spatial statistics Type de document : Monographie Auteurs : Ming Hung, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2016 Importance : 154 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-953-51-2757-4 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] automate cellulaire
[Termes IGN] croissance urbaine
[Termes IGN] données localisées
[Termes IGN] géostatistique
[Termes IGN] interpolation spatiale
[Termes IGN] planification urbaine
[Termes IGN] qualité de vie
[Termes IGN] revenu
[Termes IGN] statistiques
[Termes IGN] structure d'un peuplement forestier
[Termes IGN] transport
[Termes IGN] variogrammeRésumé : (éditeur) Spatial statistics has been widely used in many environmental studies. This book is a collection of recent studies on applying spatial statistics in subjects such as demography, transportation, precision agriculture and ecology. Different subjects require different aspects of spatial statistics. In addition to quantitative statements from statistics and tests, visualization in forms of maps, drawings, and images are provided to illustrate the relationship between data and locations. This book will be valuable to researchers who are interested in applying statistics to spatial data, as well as graduate students who know statistics and want to explore how it can be applied to spatial data. With the processing part being simplified to several mouse clicks by commercial software, one should pay more attention to justification of using spatial statistics, as well as interpretation and assessment of the results. GIScience proves to be a useful tool in visualization of spatial data, and such useful technology should be utilized, as part, for the interpretation and assessment of the results. Note de contenu : 1- Application of spatial statistics in transportation engineering
2- Comparison of spatial interpolation techniques using visualization and quantitative assessment
3- Wage concentration in Spain: A spatial analysis
4- Spatial optimization of urban cellular automata model
5- Structural diversity of plant populations: Insight from spatial analyses
6- Practical value of user‐centred spatial statistics for responsive urban planningNuméro de notice : 25935 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/MATHEMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/61666 En ligne : https://doi.org/10.5772/61666 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96262
Titre : Land applications of radar remote sensing Type de document : Monographie Auteurs : Damien Closson, Éditeur scientifique ; Francesco Holecz, Éditeur scientifique ; Paolo Pasquali, Éditeur scientifique ; et al., Auteur Editeur : London [UK] : IntechOpen Année de publication : 2014 Importance : 320 p. Format : 19 x 27 cm ISBN/ISSN/EAN : 978-953-51-4233-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte forestière
[Termes IGN] déformation de la croute terrestre
[Termes IGN] détection de changement
[Termes IGN] données polarimétriques
[Termes IGN] filtre de déchatoiement
[Termes IGN] occupation du sol
[Termes IGN] radargrammétrie
[Termes IGN] série temporelle
[Termes IGN] surveillance d'ouvrage
[Termes IGN] traitement d'image radarRésumé : (éditeur) The aim of this book is to demonstrate the use of SAR data in three application domains, i.e. land cover (Part II), topography (Part III), and land motion (Part IV). These are preceded by Part I, where an extensive and complete review on speckle and adaptive filtering is provided, essential for the understanding of SAR images. Part II is dedicated to land cover mapping. Part III is devoted to the generation of Digital Elevation Models based on radargrammetry and on a wise fusion (by considering sensor characteristic and acquisition geometry) of interferometric and photogrammetric elevation data. Part IV provides a contribution to three applications related to land motion. Note de contenu : 1- Adaptive speckle filtering in radar imagery
2- Large scale mapping of forests and land cover with synthetic aperture radar data
3- Estimation of cultivated areas using multi-temporal SAR data
4- Combining moderate-resolution time-series RS data from SAR and optical sources for rice crop characterisation: Examples from Bangladesh
5- Change detection and classification using high resolution SAR interferometry
6- High resolution radargrammetry – 3D terrain modeling
7- Fusion of interferometric SAR and photogrammetric elevation data
8- SAR data analysis in solid Earth geophysics: From science to risk management
9- Dikes stability monitoring versus sinkholes and subsidence, Dead Sea region, JordanNuméro de notice : 25939 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/55833 En ligne : https://doi.org/10.5772/55833 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96301 Modeling and Simulation in Engineering, ch. 1. Image-laser fusion for in situ 3D modeling of complex environments: A 4D panoramic-driven approach / Daniela Craciun (2012)
Titre de série : Modeling and Simulation in Engineering, ch. 1 Titre : Image-laser fusion for in situ 3D modeling of complex environments: A 4D panoramic-driven approach Type de document : Chapitre/Contribution Auteurs : Daniela Craciun , Auteur ; Nicolas Paparoditis , Auteur ; Francis Schmitt, Auteur Editeur : London [UK] : IntechOpen Année de publication : 2012 Importance : pp 3 - 28 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] alignement des données
[Termes IGN] chaîne de traitement
[Termes IGN] données 4D
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] estimation de pose
[Termes IGN] grotte
[Termes IGN] image panoramique
[Termes IGN] modèle 3D du site
[Termes IGN] mosaïquage d'images
[Termes IGN] rendu réaliste
[Termes IGN] site archéologique
[Termes IGN] texturageRésumé : (auteur) [introduction] One might wonder what can be gained from the image-laser fusion and in which measure such a hybrid system can generate automatically complete and photorealist 3D models of difficult to access and unstructured underground environments. Our research work is focused on developing a vision-based system aimed at automatically generating in-situ photorealist 3D models in previously unknown and unstructured underground environments from image and laser data. In particular, we are interested in modeling underground prehistoric caves. In such environments, special attention must be given to the main issue standing behind the automation of the 3D modeling pipeline which is represented by the capacity to match reliably image and laser data in GPS-denied and feature-less areas. In addition, time and in-situ access constraints require fast and automatic procedures for in-situ data acquisition, processing and interpretation in order to allow forin-situ verification of the 3D scene model completeness. Finally, the currently generated 3D model represents the only available information providing situational awareness based on which autonomous behavior must be built in order to enable the system to act intelligently on-the-fly and explore the environment to ensure the 3D scene model completeness. This chapter evaluates the potential of a hybrid image-laser system for generating in-situ complete and photorealist 3D models of challenging environments, while minimizing human operator intervention. The presented research focuses on two main aspects: (i) the automation of the 3D modeling pipeline, targeting the automatic data matching in feature-less and GPS-denied areas for in-situ world modeling and (ii) the exploitation of the generated 3Dmodels along with visual servoing procedures to ensure automatically the 3D scene model completeness. We start this chapter by motivating the jointly use of laser and image data and by listing the main key issues which need to be addressed when aiming to supply automatic photorealist3D modeling tasks while coping with time and in-situ access constraints. The next four sections are dedicated to a gradual description of the 3D modeling system in which we project the proposed image-laser solutions designed to be embedded onboard mobile plateforms, providing them with world modeling capabilities and thus visual perception. This is an important aspect for the in-situ modeling process, allowing the system to be aware and to act intelligently on-the-fly in order to explore and digitize the entire site. For this reason, we introduce it as ARTVISYS, the acronym for ARTificial VIsion-based SYStems. Numéro de notice : H2012-003 Affiliation des auteurs : MATIS+Ext (1993-2011) Autre URL associée : autre adresse Thématique : IMAGERIE/INFORMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.5772/30269 Date de publication en ligne : 07/03/2012 En ligne : https://doi.org/10.5772/30269 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97390 Permalink