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Agent-Based Modeling of Sustainable Behaviors
Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.
Information Technology in Geo-engineering
Information technology (IT) is now intrinsic to many aspects of our lives, and this is no less so for the field of geo-engineering, where it is widely used. This volume presents the proceedings of the First International Conference on Information Technology in Geo-Engineering in Shanghai, September 2010. The conference brought together engineers, scientists, researchers and educators to review new developments and IT advances in geo-engineering and provided a forum for the discussion of future trends. Iformation technology evolves constantly, and the innovative concepts, strategies and technologies which have sprung up are becoming ever more important to all aspects of geo-engineering; facilitating design processes, improving construction efficiency andlowering maintenance costs. These topics are among the many addressed here. Of interest to all those involved in the field of geo-engineering, it is hoped that this volume will prove to be the first of a series to cover regular international conference on this increasingly important subject.
Feature Selection for High-Dimensional Data
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers. The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.
Proceedings
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Feature Extraction
This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.
Artificial Neural Networks - ICANN 2010
This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 20010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The third volume is divided in topical sections on classification – pattern recognition, learning algorithms and systems, computational intelligence, IEM3 workshop, CVA workshop, and SOINN workshop.
3rd XoveTIC Conference
This volume of Proceedings gathers papers presented at XOVETIC2020 (A Coruña, Spain, 8-9 October 2020), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, Internet of Things, HPC (High-performance computing), cybersecurity, bioinformatics, natural language processing, 5G, and other areas from the field of ICT (Information Communications Technology); and offering a platform to present the results of their research to a national audience in Portugal. This third edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection.
Acute Ischemic Stroke
This updated second edition of Acute Ischemic Stroke: Imaging and Intervention provides a comprehensive account of the state of the art in the diagnosis and treatment of acute ischemic stroke. The basic format of the first edition has been retained, with sections on fundamentals such as pathophysiology and causes, imaging techniques and interventions. However, each chapter has been revised to reflect the important recent progress in advanced neuroimaging and the use of interventional tools. In addition, a new chapter is included on the classification instruments for ischemic stroke and their use in predicting outcomes and therapeutic triage. All of the authors are internationally recognized experts and members of the interdisciplinary stroke team at the Massachusetts General Hospital and Harvard Medical School. The text is supported by numerous informative illustrations, and ease of reference is ensured through the inclusion of suitable tables. This book will serve as a unique source of up-to-date information for neurologists, emergency physicians, radiologists and other health care providers who care for the patient with acute ischemic stroke.
Agent-Based Modeling of Sustainable Behaviors
Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.
Becoming Who We Are
This definitive work comprehensively examines the role of temperament in the development of personality and psychopathology. Preeminent researcher Mary Rothbart synthesizes current knowledge on temperament's basic dimensions; its interactions with biology, the social environment, and developmental processes; and influences on personality, behavior, and social adjustment across the lifespan. In a direct and readable style, Rothbart combines theory and research with everyday observations and clinical examples. She offers new insights on "difficult" children and reviews intervention programs that address temperamental factors in childhood problems. This book will be invaluable to developmental psychologists; personality/social psychologists; child clinical psychologists and other mental health practitioners. It will also serve as a text in graduate-level courses
