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GIS LATAM
This book constitutes the refereed proceedings of the First GIS LATAM Conference, GIS LATAM 2020, held in September 2020. Due to the COVID-19 pandemic the conference was held online. The 9 full papers and 2 short papers were thoroughly reviewed and selected from 29 submissions. The papers are focused on the GIS applications in data analytics in spheres of health, environment, government, public, and education.
Telematics and Computing
This book constitutes the thoroughly refereed proceedings of the 8th International Congress on Telematics and Computing, WITCOM 2019, held in Merida, Mexico, in November 2019. The 31 full papers presented in this volume were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections: GIS & climate change; telematics & electronics; artificial intelligence & machine learning; software engineering & education; internet of things; and informatics security.
Large-Scale Scientific Computing
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Large-Scale Scientific Computations, LSSC 2013, held in Sozopol, Bulgaria, in June 2013. The 74 revised full papers presented together with 5 plenary and invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on numerical modeling of fluids and structures; control and uncertain systems; Monte Carlo methods: theory, applications and distributed computing; theoretical and algorithmic advances in transport problems; applications of metaheuristics to large-scale problems; modeling and numerical simulation of processes in highly heterogeneous media; large-scale models: numerical methods, parallel computations and applications; numerical solvers on many-core systems; cloud and grid computing for resource-intensive scientific applications.
Biomedical Applications Based on Natural and Artificial Computing
The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications. The second volume deals with biomedical applications, based on natural and artificial computing and addresses topics such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications.
Inverse Methods for Atmospheric Sounding
Annotation Rodgers (U. of Oxford) provides graduate students and other researchers a background to the inverse problem and its solution, with applications relating to atmospheric measurements. He introduces the stages in the reverse order than the usual approach in order to develop the learner's intuition about the nature of the inverse problem. Annotation copyrighted by Book News, Inc., Portland, OR.
Dictionary of Geotourism
Geotourism is a new, emerging scientific discipline by applying the principles of earth science in the study of natural and human tourism resources. It involves the principles and methodologies of art, landscape architecture, environmental science and tourism in dealing with earth science issues of tourism activities and provides guidance to the establishment, management and protection of geoparks, forest parks and scenic areas. The Dictionary of Geotourism contains over 3,000 definitions, hundreds of diagrams and pictures with easy to understand explanations and illustrations in six different parts covering the concepts, principles, tourism earth science resources, applications, geopark est...
Modern Technologies and Their Influence in Fermentation Quality
During the last few years, industrial fermentation technologies have advanced in order to improve the quality of the final product. Some examples of those modern technologies are the biotechnology developments of microbial materials, such as Saccharomyces and non-Saccharomyces yeasts or lactic bacteria from different genera. Other technologies are related to the use of additives and adjuvants, such as nutrients, enzymes, fining agents, or preservatives and their management, which directly influence the quality and reduce the risks in final fermentation products. Other technologies are based on the management of thermal treatments, filtrations, pressure applications, ultrasounds, UV, and so on, which have also led to improvements in fermentation quality in recent years. The aim of the issue is to study new technologies able to improve the quality parameters of fermentation products, such as aroma, color, turbidity, acidity, or any other parameters related to improving sensory perception by the consumers. Food safety parameters are also included.
Ground Layers in European Painting 1550-1750
Most of the papers in this volume were presented at the CATS international technical art history conference in June 2019 titled Mobility Creates Masters - Discovering Artists' Grounds 1550-1700, which explored the introduction of, and change to, the colored ground layers in European paintings form the Early Modern period. The title of the conference stemmed from the desire to instigate new research projects within the topic of the influence of artists' mobility on material choices and techniques related to the preparation of paintings. As well as contributions presented at the conference, this volume includes additional papers from recent research exploring the same topic. The volume begins ...
Parallel Genetic Algorithms
This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always difficult, and the book seeks at gracefully introducing from basic concepts to advanced topics. The presentation is structured in three parts. The first one is targeted to the algorithms themselves, discussing their components, the physical parallelism, and best practices in using and evaluating them. A second part deals with the theory for pGAs, with an eye on the...
