الصفحة 20
الصفحة 20
Computational intelligence for remote sensing
This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services.
Computational intelligence and security ; Vol. 3801 ; International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part I
The two volume set LNAI 3801 and LNAI 3802 constitute the refereed proceedings of the annual International Conference on Computational Intelligence and Security, CIS 2005, held in Xi'an, China, in December 2005. The 338 revised papers presented - 254 regular and 84 extended papers - were carefully reviewed and selected from over 1800 submissions. The first volume is organized in topical sections on learning and fuzzy systems, evolutionary computation, intelligent agents and systems, intelligent information retrieval, support vector machines, swarm intelligence, data mining, pattern recognition, and applications.
Computational intelligence ; Vol. 174 : Engineering of hybrid systems
Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms? evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods.
Computational intelligence : Methods and techniques
This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots.
Computational genetics and genomics : Tools for understanding disease
The authors introduce a new computational approach that makes it possible to identify the genetic basis for differences in physiological or pathological responses among inbred mouse strains, thus facilitating more rapid genetic discovery
Computational Discovery of Scientific Knowledge : Introduction, Techniques, and Applications in Environmental and Life Sciences
Advances in technology have enabled the collection of data from scientific observations, simulations, and experiments at an ever-increasing pace. For the scientist and engineer to benefit from these enhanced data collecting capabilities, it is becoming clear that semi-automated data analysis techniques must be applied to find the useful information in the data. Computational scientific discovery methods can be used to this end: they focus on applying computational methods to automate scientific activities, such as finding laws from observational data. In contrast to mining scientific data, which focuses on building highly predictive models, computational scientific discovery puts a strong emphasis on discovering knowledge represented in formalisms used by scientists and engineers, such as numeric equations and reaction pathways. This state-of-the-art survey provides an introduction to computational approaches to the discovery of scientific knowledge and gives an overview of recent advances in this area, including techniques and applications in environmental and life sciences.
Color Atlas of Histopathology of the Cervix Uteri
The new edition of this atlas integrates all significant advances made in the past 15 years in molecular pathology, tumor virology, and genetics of cervical cancer. It emphasizes the importance of these advances in facilitating its pathological diagnosis and in op- mizing clinical management and prognosis.
Collagen: Structure and Mechanics
Collagen: Structure and Mechanics provides a cohesive introduction to collagen-rich tissues, such as tendon, bone, cornea or arterials walls. Written in a clear and didactic manner, this volume reviews current knowledge on hierarchical structure, mechanical properties, deformation and strengthening mechanisms, and discusses many applications in biomaterials and tissue engineering.
Clusia : A woody neotropical genus of remarkable plasticity and diversity
Clusia is the only dicotyledonous tree genus with crassulacean acid metabolism (CAM), and in some cases all variants of CAM can be expressed in one given species. These unique features as well as Clusia's extreme flexibility have put it in the limelight of international research. The studies presented in this volume embrace anatomy, morphology and plant architecture, phytogeographical distribution and community ecology, phylogeny and genetic diversity, physiology and metabolism, physiological ecology and functional diversity, circadian rhythmicity and biological timing. Covering all aspects of tree biology, this richly illustrated volume is an invaluable source of information for any plant scientist.
Markov Chains : Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models. Included in the higher-order discussions are multivariate models, higher-order multivariate models, and higher-order hidden models. In each case, the focus is on the important kinds of applications that can be made with the class of models being considered in the current chapter. Special attention is given to numerical algorithms that can efficiently solve the models. Therefore, Markov Chains: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical systems.
Management of the Addicted Patient in Primary Care
لThe text is logically organized and key information is easily accessible. The introductory section offers the reader important background and rationale for evaluating and treating addiction in primary care. Following a useful presentation of addiction "basics" (i.e., definitions, neurobiology, genetics, and the disease model), the majority of the book focuses on helping the physician gain insight and develop practical skills that can be readily implemented. A wealth of clinical assessment tools is provided, and the underlying psychosocial processes common to all forms of addiction are discussed. Both pharmacologic interventions and nonpharmalogic modalities are clearly outlined. Of particular note are specific cognitive-behavioral and motivational strategies that can be administered in an office-based setting. The role of community-based recovery support systems is considered as well. Since a complete understanding of why and when to refer is critical to the management of this often life-threatening condition, criteria for referral are detailed. Bulleted clinical "pearls" further aid the reader in gaining insight into treating this difficult patient population.
Management of Prader-Willi Syndrome
Management of Prader-Willi Syndrome brings together the contributions of professionals with considerable expertise in diagnosis and management of PWS. Clinical, social, family, and community issues are explored and management strategies identified. The text presents historical, medical, and genetic information to orient the reader. The major portion deals with pragmatic guidelines, rather than research and diagnosis, and is directed to health and educational specialists in academic, clinical, and community settings. This manual is endorsed by The Prader-Willi Syndrome Association, which is recognized world-wide.
Malignant Mesothelioma : Pathogenesis, Diagnosis, and Translational Therapies
(Review from JAMA) Malignant mesothelioma is an uncommon neoplasm usually associated with exposure to asbestos. Because of its low incidence, thorough reviews of the topic are hard to find. Harvey Pass and colleagues have edited an up-to-date, comprehensive book that includes a wide range of information, from a historical perspective to descriptions of the latest treatment. The authors . . . have written chapters on the carcinogenesis, molecular genetics, and clinical aspects of mesothelioma. Malignant Mesothelioma is suitable for a broad audience. Laboratory researchers will use it as a resource for information about the pathogenesis, animal models, molecular genetics, and cell lines of mesothelioma. . . . Clinicians will benefit from this complete guide to the presentation, prognosis, imaging, and treatment of the disease. I highly recommend this book to all who are interested in mesothelioma.
Malaria: Drugs, Disease and Post-genomic Biology
This volume brings some of the worlds best investigators to describe recent advances in both the scientific and clinical aspects of malaria, and bridges between the two. The opening chapters discuss antimalarials and resistance to them in Africa and Asia. Then there are reviews of the different clinical manifestations of malaria, ranging from uncomplicated infections to severe disease and its complications.
Malaria : Genetic and Evolutionary Aspects
This book was originally conceived at a conference at the University of Turin in Italy. The conference was organized to examine the so-called “Malaria Hypothesis”, that is to say, the higher fitness of t- lassemia heterozygotes in a malarial environment, and to pay tribute to the proponent of that hypothesis, J.B.S. Haldane. Contributors to this book examine certain genetic and evolutionary aspects of malaria which is a major killer of human populations, especially in Africa and Asia. There were attempts to discredit Haldane’s contribution from two directions: (a) it has been suggested that the “Malaria Hypothesis” was known long before Haldane and that there was nothing original about his idea (Lederberg 1999), and that (b) the hypothesis of heterozygote su- riority was first suggested by the Italian biologist Giuseppe Montalenti who communicated his idea to Haldane (Allison 2004).
Make Life Visible
This book describes marked advances in imaging technology that have enabled the visualization of phenomena in ways formerly believed to be completely impossible. These technologies have made major contributions to the elucidation of the pathology of diseases as well as to their diagnosis and therapy.
Magnetic Resonance of Myelination and Myelin Disorders
The book has been extensively revised and expanded to do justice to the rapid advances in MR technology, molecular biochemistry, and genetics and the discovery of new disease entities with prominent white matter involvement. Forty chapters have been added, and the number of illustrations has risen considerably. The ability to confirm the presence of genetic alterations in a number of disorders allows more advantageous presentation of the phenotypic variation as expressed in differ.
Macular Degeneration
Macular Degeneration: Science and Medicine in Practice provides a unique overview of current thinking in the pathogenesis, incidence and treatment of AMD. It includes, for the first time, a synthesis of the views of the world's leading scientists and practitioners regarding retinal biology, basic mechanisms, clinical and pathogenetic processes, and rational approaches to intervention.
Machine Learning: ECML 2007 ; 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings
The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the ?rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the ?rst European Working Session on Learning was held in Orsay, France. The European Conference on Principles and Practice of KnowledgeDiscoveryinDatabases(PKDD) was?rstheldin1997inTrondheim, Norway.
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
