الصفحة 23
الصفحة 23
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Biometrics, Computer Security Systems and Artificial Intelligence Applications

This book presents the most recent achievements in some fascinating and rapidly developing fields within Computer Science. The scientific works presented in this book have been partitioned into three topical groups: Image Analysis and Biometrics, Computer Security Systems, and Artificial Intelligence and Applications. Image Analysis and Biometrics is the branch of Computer Science dealing with the very difficult task of artificial, visual perception of objects and surroundings, as well as the problems connected with it. Computer Security and Safety is at present a very important and intensively investigated branch of Computer Science because of the menacing activity of hackers and computer viruses.

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Biometric Authentication ; International ECCV 2002 Workshop Copenhagen, Denmark, June 1, 2002 Proceedings

Biometric authentication refers to identifying an individual based on his or her distinguishing physiological and/or behavioral characteristics. It associates an individual with a previously determined identity based on that individual s appearance or behavior. Because many physiological or behavioral characteristics (biometric indicators) are distinctive to each person, biometric identifiers are inherently more reliable and more capable than knowledge-based (e.g., password) and token-based (e.g., a key) techniques in differentiating between an authorized person and a fraudulent impostor. For this reason, more and more organizations are looking to automated identity authentication systems to improve customer satisfaction, security, and operating efficiency as well as to save critical resources.

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Biomedical data mining for information retrieval : Methodologies, techniques, and applications

Discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally.

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Biology and mechanics of blood flows ; Part II : Mechanics and medical aspects

Biology and Mechanics of Blood Flows presents the basic knowledge and state-of-the-art techniques necessary to carry out investigations of the cardiovascular system using modeling and simulation. Part II of this two-volume sequence, Mechanics and Medical Aspects, refers to the extraction of input data at the macroscopic scale for modeling the cardiovascular system, and complements Part I, which focuses on nanoscopic and microscopic components and processes. This volume contains chapters on anatomy, physiology, continuum mechanics, as well as pathological changes in the vasculature walls including the heart and their treatments. Methods of numerical simulations are given and illustrated in particular by application to wall diseases. This authoritative book will appeal to any biologist, chemist, physicist, or applied mathematician interested in the functioning of the cardiovascular system.

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Biology and mechanics of blood flows ; Part I : Biology

Biology and Mechanics of Blood Flows presents the basic knowledge and state-of-the-art techniques necessary to carry out investigations of the cardiovascular system using modeling and simulation. Part I of this two-volume sequence, Biology, addresses the nanoscopic and microscopic scales. The nanoscale corresponds to the scale of biochemical reaction cascades involved in cell adaptation to mechanical stresses among other stimuli. The microscale is the scale of stress-induced tissue remodeling associated with acute or chronic loadings. The cardiovascular system, like any physiological system, has a complicated three-dimensional structure and composition. Its time dependent behavior is regulated, and this complex system has many components.

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Biological and medical data analysis ; Vol. 3745 ; 6th International symposium, ISBMDA 2005, Aveiro, Portugal, November 10-11, 2005, Proceedings

The 6th International Symposium on Biological and Medical Data Analysisaimed to become a place where researchersinvolved in these diverse but increas-ingly complementary areas could meet topresent and discuss their scientificresults.The papers in this volume discuss issues from statistical models to archi-tectures and applications to bioinformatics and biomedicine. They cover bothpractical experience and novel research ideas and concepts.

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Bio-inspired modeling of cognitive tasks ; 2nd International Work-conference on the interplay between natural and artificial computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007, Proceedings, Part I

This volume includes all the contributions mainly related with theoretical, conceptual and methodological aspects linking AI and knowledge engineering with neurophysiology, clinics and cognition.

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Bio-inspired computational intelligence and applications ; International conference on life system modeling, and simulation, LSMS 2007, Shanghai, China, September 14-17, 2007. Proceedings

It covers both micro and macro c- ponents ranging from cells, tissues and organs across to organisms and ecologic niches. These interact and evolve to produce an overall complex system whose beh- ior is difficult to comprehend and predict.The arrival of the 21st century has been marked by a resurgence of research interest both in arriving at a systems-level und- standing of biology and in applying such knowledge in complex real-world appli- tions. Consequently, computational methods and intelligence in systems, biology, as well as bio-inspired computational intelligence, have emerged as key drivers for new computational methods. For this reason papers dealing with theory, techniques and real-world applications relating to these two themes were especially solicited.

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Bioinformatics research and applications : 4th International Symposium, ISBRA 2008, Atlanta, GA, USA, May 6-9, 2008. Proceedings

This book constitutes the refereed proceedings of the Fourth International Symposium on Bioinformatics Research and Applications, ISBRA 2008, held in Atlanta, GA, USA in May 2008.

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Biogeochemistry of Trace Elements in Arid Environments

Global warming has worsened the water resource crisis in many arid zones worldwide, from Africa to Asia, affecting millions of people and putting them at risk of hunger. Effective management of arid zone resources, including understanding the risks of toxic trace and heavy elements to humans, coupled with the need to produce more food to feed the world’s growing population, has thus become increasingly important. This very timely book, the only one of its kind on the market, fills the gap of our knowledge of trace elements in these regions. This book begins by introducing the nature and properties of arid zone soil, followed by an updated overview and comprehensive coverage of the major aspects of the trace elements and heavy metals of most concern in the world’s arid and semi-arid soils. These aspects include: - content and distribution - solution chemistry - solid-phase chemistry - selective sequential dissolution techniques - transfer fluxes - bioavailability - pollution and remediation In order to illustrate the themes, a comprehensive and focused case study on transfer fluxes of trace elements in Israeli arid soils is presented. Finally it closes with the global perspectives on anthropogenic interferences in the natural trace elements’ distribution.

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Bioeconomy and Global Inequalities Socio-Ecological Perspectives on Biomass Sourcing and Production

This book explores bioeconomy and bioenergy policies across South America, Asia and Europe. It discusses how a transition away from a fossil and towards a bio-based economic order alters, reinforces and challenges socio-ecological inequalities. A series of conceptual discussions and case studies with a multidisciplinary background in the Social Science illuminate how the deployment of biomass sources from the agricultural and forestry sectors affect societal changes concerning knowledge production, land and labour relations, political participation and international trade

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Biochemical Mechanisms of Detoxification in Higher Plants : Basis of Phytoremediation

Plants play a key role in purifying the biosphere of the toxic effects of industrial activity. This book shows how systematic application of the results of investigations into the metabolism of xenobiotics (foreign, often toxic substances) in plants could make a vastly increased contribution to planetary well-being. Deep physiological knowledge gained from an accumulation of experimental data enables the great differences between the detoxifying abilities of different plants for compounds of different chemical nature to be optimally exploited. Hence planting could be far more systematically adapted to actual environmental needs than is actually the case at present.

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Big data-enabled internet of things

Covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions. The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.

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Big Data Recommender Systems ; Vol.2 : Application Paradigms

Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters

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Big Data Recommender Systems ; Vol.1 : Algorithms, Architectures, Big Data, Security and Trust

Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools.

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Big Data : An Art of Decision Making

Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and exploratory outlook - already well known in the social sciences and the humanities - to convey intelligible results from data analysis algorithms and create new knowledge. Big Data is based on an inquiry of several years within Proxem, a software publisher specializing in big data processing. The book examines how data scientists explore, interpret and visualize our digital traces to make sense of them, and to produce new knowledge. Grounded in epistemology and science and technology studies, Big Data offers a reflection on data in general, and on how they help us to better understand reality and decide on our daily actions.

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Beyond the apparent Banality of the mathematics classroom

New research in mathematics education deals with the complexity of the mathematics’ classroom. The classroom teaching situation constitutes a pertinent unit of analysis for research into the ternary didactic relationship which binds teachers, students and mathematical knowledge. The classroom is considered as a complex didactic system, which offers the researcher an opportunity to gauge the boundaries of the freedom that is left with regard to choices about the knowledge to be taught and the ways of organizing the students’ learning, while giveing rise to the study of interrelations between three main elements of the teaching process the: mathematical content to be taught and learned, management of the various time dimensions, and activity of the teacher who prepares and manages the class, to the benefit of the students' knowledge and the teachers' own experience.

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Beyond knowledge : The legacy of competence : Meaningful computer-based learning environments

The edited and peer reviewed volume presents selected papers of the conference "Beyond knowlegde: the legacy of competence" It reflects the current state-of-the-art work of scholars worldwide within the area of learning and instruction with computers. Mainly, areas of computer-based learning environments supporting competence-focused knowledge acquisition but also foundational scientific work are addressed. More specific, contents cover cognitive processes in hypermedia and multimedia learning, social issues in computer-supported collaborative learning, motivation and emotion in Blended Learning and e-Learning.

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Beyond Cartesian Dualism : Encountering affect in the teaching and learning of science.

There is surprisingly little known about affect in science education. Despite periodic forays into monitoring students’ attitudes-toward-science, the effect of affect is too often overlooked. Beyond Cartesian Dualism gathers together contemporary theorizing in this axiomatic area. In fourteen chapters, senior scholars of international standing use their knowledge of the literature and empirical data to model the relationship between cognition and affect in science education. Their revealing discussions are grounded in a broad range of educational contexts including school classrooms, universities, science centres, travelling exhibits and refugee camps, and explore an array of far reaching questions. What is known about science teachers’ and students’ emotions? How do emotions mediate and moderate instruction? How might science education promote psychological

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Best practices in software measurement : How to use metrics to improve project and process performance

Not everything that counts can be counted. Not everything that is counted counts. Albert Einstein This is a book about software measurement from the practitioner’s point of view and it is a book for practitioners. Software measurement needs a lot of practical guidance to build upon experiences and to avoid repeating errors. This book t- gets exactly this need, namely to share experiences in a constructive way that can be followed. It tries to summarize experiences and knowledge about software measurement so that it is applicable and repeatable. It extracts experiences and lessons learned from the narrow context of the specific industrial situation, thus facilitating transfer to other contexts. Software measurement is not at a standstill. With the speed software engine- ing is evolving, software measurement has to keep pace. While the underlying theory and basic principles remain invariant in the true sense (after all, they are not specific to software engineering), the application of measurement to specific contexts and situations is continuously extended. The book thus serves as a ref- ence on these invariant principles as well as a practical guidance on how to make software measurement a success.

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