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Computational Methods for Risk Management in Economics and Finance

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ISBN: 9783039284986 / 9783039284993 Year: Pages: 234 DOI: 10.3390/books978-3-03928-499-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Business and Management
Added to DOAB on : 2020-06-09 16:38:57
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Abstract

At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational techniques in finance and economics. Examined topics span on issues at the center of the literature debate, with an eye not only on technical and theoretical aspects but also very practical cases.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

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ISBN: 9783039212156 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2019-12-09 11:49:15
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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Keywords

landslide --- bagging ensemble --- Logistic Model Trees --- GIS --- Vietnam --- colorization --- random forest regression --- grayscale aerial image --- change detection --- gully erosion --- environmental variables --- data mining techniques --- SCAI --- GIS --- mapping --- single-class data descriptors --- materia medica resource --- Panax notoginseng --- one-class classifiers --- geoherb --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- remote sensing image segmentation --- convolutional neural networks --- Gaofen-2 --- hybrid structure convolutional neural networks --- winter wheat spatial distribution --- classification-based learning --- real-time precise point positioning --- convergence time --- ionospheric delay constraints --- precise weighting --- landslide --- weights of evidence --- logistic regression --- random forest --- hybrid model --- traffic CO --- traffic CO prediction --- neural networks --- GIS --- land use/land cover (LULC) --- unmanned aerial vehicle --- texture --- gray-level co-occurrence matrix --- machine learning --- crop --- landslide susceptibility --- random forest --- boosted regression tree --- information gain --- landslide susceptibility map --- ALS point cloud --- multi-scale --- classification --- large scene --- coarse particle --- particulate matter 10 (PM10) --- landsat image --- machine learning --- support vector machine --- high-resolution --- optical remote sensing --- object detection --- deep learning --- transfer learning --- land subsidence --- Bayes net --- naïve Bayes --- logistic --- multilayer perceptron --- logit boost --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- leaf area index (LAI) --- machine learning --- Sentinel-2 --- sensitivity analysis --- training sample size --- spectral bands --- spatial sparse recovery --- constrained spatial smoothing --- spatial spline regression --- alternating direction method of multipliers --- landslide prediction --- machine learning --- neural networks --- model switching --- spatial predictive models --- predictive accuracy --- model assessment --- variable selection --- feature selection --- model validation --- spatial predictions --- reproducible research --- Qaidam Basin --- remote sensing --- TRMM --- artificial neural network --- n/a

Nutrition, Choice and Health-Related Claims

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ISBN: 9783039286485 / 9783039286492 Year: Pages: 362 DOI: 10.3390/books978-3-03928-649-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General)
Added to DOAB on : 2020-06-09 16:38:57
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Abstract

This book presents different articles focused on the role of nutritional properties and/or health-related claims on choice preferences, choice behavior, healthy eating/healthy diet, and the willingness to pay for certain foods.

Keywords

consumer research --- carrier foods --- functional ingredients --- loglinear analysis --- qualified health claim --- older adult --- green tea --- cancer --- purchase intentions --- emotional eating --- food choices --- nutritional claims --- nutrition claims --- health claims --- portion size --- perceptions --- health halo --- food labelling --- consumer --- nudging --- qualitative --- focus groups --- trans-fatty acids --- ultra-processed food products --- food labels --- consumer --- non-communicable disease --- quantile regression --- experimental auction --- lycopene --- information --- consumer --- yoghurt --- label --- a discrete choice-based experiment --- Food Neophobia Scale (FNS) --- food neophobia --- consumer choice --- choice experiment --- allergen --- menu --- packaging --- exposure time --- plant extract --- visual appraisal --- consumer home-test --- nutritional claims --- health claims --- cluster analysis --- food choices --- functional food --- health information --- environmental information --- choice experiment --- sustainability --- consumer preferences --- nutritional labels --- biscuits --- pastries --- Aragón --- nutrition claim --- health claim --- functional food --- WTP --- segmentation --- organic consumer choices --- organic dried strawberries --- nutrient labels --- health attitudes --- consumer heterogeneity --- cross-cultural comparison --- claims --- labeling --- nutrition --- consumer behavior --- policy --- choice architecture --- dining environment --- campus --- college students --- cereal grains --- dietary fiber --- vitamins --- claim --- information --- health claims --- new product development --- nutrition claims --- market success --- food choice --- changes in quality --- changes in prices --- nutrition --- United Kingdom --- Brexit --- consumer research --- willingness to purchase --- non-communicable diseases --- binary logistic regression --- random forest --- food choices --- health consciousness --- red wine --- choice experiment --- clean labels --- alcohol content --- nutritional knowledge --- health --- local --- organic --- greenhouse gas emissions --- consumer --- choice experiment --- willingness to pay --- trade-offs --- n/a

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