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108Publicado 2023“…Most of us notice the elephant, it gets in the way, and it's difficult to deal with until someone points at it and says, 'There it is, let's take a look at it and reduce its impact.' …”
Libro electrónico -
109por Lagarde, Eduardo, 1884-1950
Publicado 1987Biblioteca Universidad de Deusto (Otras Fuentes: Biblioteca de la Universidad de Navarra)Libro -
110por Prosic, Tamara
Publicado 2004Biblioteca de la Universidad Pontificia de Salamanca (Otras Fuentes: Universidad Loyola - Universidad Loyola Granada)Libro -
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112Publicado 2018Materias:Libro electrónico
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113Publicado 2025Tabla de Contenidos: “…5 Least-Squares-Based Linear Spectral Unmixing For Pure Endmembers -- 5.1 Linear Spectral Unmixing -- 5.2 Linear Spectral Unmixing of Endmembers: Case Study of Mangrove Ecosystem -- 5.3 Case Study of Fractional Abundance Estimation of Mangrove Species -- 5.3.1 Endmember Detection -- 5.3.2 Fractional Abundance -- 5.3.3 Accuracy Assessment -- 6 Non-Linear Unmixing for Classification of Mixed Endmembers -- 6.1 Limitations of Linear Spectral Unmixing -- 6.2 Non-Linear Unmixing Models -- 6.3 Nascimento's Bilinear Spectral Unmixing Model -- 6.4 Fan's Bilinear Unmixing Model -- 6.5 Hapke's Bidirectional Model -- 6.6 Higher-Order Non-Linear Spectral Unmixing Models -- 6.7 Experimental Results of Analysis of Lower to Higher-Order Non-Linear Models With Case Studies -- 7 Fuzzy Logic-Based Non-Linear Spectral Unmixing -- 7.1 Fuzzy Logic-Based Non-Linear Spectral Unmixing -- 7.2 Fuzzy C-Means (FCM) -- 7.3 Possibilistic C-Means (PCM) -- 7.4 Entropy-Based Fuzzy C-Means Unmixing -- 7.5 Spatial Fuzzy-Based Unmixing -- 7.6 Applications of Fuzzy-Based Non-Linear Unmixing -- 8 Machine Learning Models for Classification of Hyperspectral Data -- 8.1 Machine Learning Models for Classification of Hyperspectral Data -- 8.2 Classification Models -- 8.3 Prediction Models -- 8.3.1 Deep Learning -- 8.4 Merits and Demerits of the Models Through Experimental Analysis -- 8.5 Role of Machine/Deep Learning in Spatial Big Data Analytics -- Case Study: Evaluating the Performance of a Convolutional Neural Network (CNN) Model in Classifying Hyperspectral Images in the Andaman and Nicobar Islands -- 9 Ecodynamic Modeling -- 9.1 Ecodynamic Modeling -- 9.2 The Ecodynamic Model -- 9.2.1 Ecodynamic Model and Time-Series Analyses of Hyperspectral Data -- 9.2.2 Application of the Ecodynamic Model in Change Detection of Coastal Endmembers…”
Libro electrónico -
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117por Kleffens, Eelco Nicolaas van, 1894-1983
Publicado 1968Biblioteca Universidad de Deusto (Otras Fuentes: Biblioteca de la Universidad de Navarra)Libro -
118Publicado 2017“…Impact of a high proportion of unskilled personnel on quality of care and patient safety in the healthcare services…”
Libro electrónico -
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