الصفحة 14
الصفحة 14
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
Machine Learning and Data Mining in Pattern Recognition ; 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings
MLDM / ICDM Medaillie Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia Gottfried Wilhelm von Leibniz. This was the fifth MLDM in Pattern Recognition event held in Leipzig (www.mldm.de). This meeting from the very first event has focused on aspects of machine learning and data mining in pattern recognition problems.
Machine Learning and Data Mining in Pattern Recognition ; 4th International Conference, MLDM 2005, Leipzig, Germany, July 9-11, 2005, Proceedings
Today, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning and data mining. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval. This was the fourth edition of MLDM in Pattern Recognition which is the main event of Technical Committee 17 of the International Association for Pattern Recognition; it started out as a workshop and continued as a conference in 2003. Today, there are many international meetings which are titled “machine learning” and “data mining”, whose topics are text mining, knowledge discovery, and applications. This meeting from the first focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the viewpoints of machine learning and data mining. Though it was a challenging program in the late 1990s, the idea has inspired new starting points in pattern recognition and effects in other areas such as cognitive computer vision.
Machine learning and big data : Concepts, algorithms, tools and applications
Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
Machine Learning : Modeling Data Locally and Globally
Machine Learning - Modeling Data Locally and Globally presents a novel and unified theory that tries to seamlessly integrate different algorithms. Specifically, the book distinguishes the inner nature of machine learning algorithms as either "local learning"or "global learning."This theory not only connects previous machine learning methods, or serves as roadmap in various models, but – more importantly – it also motivates a theory that can learn from data both locally and globally. This would help the researchers gain a deeper insight and comprehensive understanding of the techniques in this field. The book reviews current topics,new theories and applications.
Loss and Damage from Climate Change : Concepts, Methods and Policy Options
Provides an authoritative insight on the Loss and Damage discourse by highlighting state-of-the-art research and policy linked to this discourse and articulating its multiple concepts, principles and methods. Written by leading researchers and practitioners, it identifies practical and evidence-based policy options to inform the discourse and climate negotiations. With climate-related risks on the rise and impacts being felt around the globe has come the recognition that climate mitigation and adaptation may not be enough to manage the effects from anthropogenic climate change.
Light Scattering by Optically Soft Particles: Theory and Applications
Deals with a particular class of approximation methods in the context of light scattering by small particles. This class of approximations has been termed as eikonal or soft particle approximations. The eikonal approximation was studied extensively in the potential scattering and then adopted in optical scattering problems. In this context, the eikonal and other soft particle approximations pertain to scatterers whose relative refractive index compared to surrounding medium is close to unity. The study of these approximations is very important because soft particles occur abundantly in nature. For example, the particles that occur in ocean optics, biomedical optics, atmospheric optics and in many industrial applications can be classified as soft particles. This book was written in recognition of the long-standing and current interest in the field of scattering approximations for soft particles. It should prove to be a useful addition for researchers in the field of light scattering.
Leptin
The discovery of leptin little more than a decade ago, as a hormone produced in white adipose tissue with an important role in satiety and energy expenditure, was a seminal event in our understanding of adiposity. This initial advance in the new endocrinology of obesity was soon followed by the realization that leptin was not only produced in adipose tissue, but in many different tissues of the body, and that receptors were similarly distributed. Additionally, the early recognition of infertility that was associated with leptin deficiency prompted research that identified roles for the polypeptide in virtually every area of reproductive biology.
La phytocosmétologie thérapeutique = Herapeutic phytocosmetology
Deals with restorative cosmetology. This is understood through the eyes of the doctor specializing in phytotherapy. Three main aspects are discussed: the diagnosis of disturbance of the skin and integuments, external treatment with natural substances, as well as oral treatment (internal treatment). Oral cosmetology has no official recognition, yet the effects of plant extracts on the condition of the skin and integuments are well known. After an introduction to the physiology of the skin, the dosage and the phenomena of skin deterioration, the author discusses different types of treatment depending on the extracts used while explaining their mode of action. This work was written by a doctor, Doctor Paul Goetz, teacher in clinical phytotherapy, and a pharmacist, Doctor Christian Busser, pharmaceutical and scientific advisor, doctor in ethnology and ethnopharmacologist.
La genetica nell’infertilità maschile = Genetics in male infertility
The notable recent cognitive advances in the field of cytogenetics and molecular genetics have made it possible to identify chromosomal anomalies and gene mutations responsible for numerous male infertility, which were completely ignored until recently. The fact is not without relevance, if the principle is valid that the recognition of the causes of a disease is also the first and necessary approach towards its correct therapy. With this publication, the authors wanted to offer specialists working in the field of assisted reproduction an update on this complex subject, dealing with both genetic causes in male infertility and infertility in genetic diseases.
L’insuffisance rénale aiguë = Acute renal failure
The aim of this book is to make current data from the experimental and clinical literature accessible to readers. More than a thousand articles are published each year on the theme and the authors aim to synthesize this information. These data relate in particular to the identification of early markers of renal dysfunction without which screening, recognition of the main pathophysiological determinants and prevention remain uncertain. This book focuses attention on clinical situations characterized by the renal impact of the main dysfunctions of vital functions, the prognosis of which is worsened by the occurrence of this renal failure. The following will be treated in particular: the renal consequences of oxidative stress, the renal consequences of respiratory dysfunction, cardiac dysfunction, hepatic dysfunction, alterations in hemostasis, septic shock and hemorrhagic shock. Finally, the physiopathological data from experimental models are gradually finding their echo in the clinical field, opening up therapeutic avenues whose recent evaluations will be analyzed.
Knowledge-Based Intelligent Information and Engineering Systems ; 12th International Conference, KES 2008, Zagreb, Croatia, September 3-5, 2008, Proceedings, Part II
The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; topics covered in the second volume are artificial intelligence driven engineering design optimization; biomedical informatics: intelligent information management from nanomedicine to public health; communicative intelligence; computational intelligence for image processing and pattern recognition; computational intelligence in human cancer research; computational intelligence techniques for Web personalization; computational intelligent techniques for bioprocess modelling, monitoring and control; intelligent computing for Grid.
KI 2008 : Advances in Artificial Intelligence ; 31st Annual German Conference on AI, KI 2008, Kaiserslautern, Germany, September 23-26, 2008. Proceedings
This book constitutes the thoroughly refereed proceedings of the 31th Annual German Conference on Artificial Intelligence, KI 2008, held in Kaiserslautern, Germany, September 2008.The 15 revised full papers presented together with 2 invited contributions and 30 posters were carefully reviewed and selected from 77 submissions. The papers cover important areas such as pattern recognition, multi-agent systems, machine learning, natural language processing, constraint reasoning, knowledge representation and management, planning, and temporal reasoning.
Italian Mathematics Between the Two World Wars
This book describes Italian mathematics in the period between the two World Wars. We analyze its development by focusing on both the interior and the external influences. Italian mathematics in that period was shaped by a colorful array of strong personalities who concentrated their efforts on a select number of fields and won international recognition and respect in an incredibly short time. Italy was also dominated by a fascist regime. This political situation and the social and academic structure of Italian society are included in the analysis as influences external to mathematics itself. The authors have provided a fascinating study of a most difficult time in the history of the world and of mathematics.
Complex systems approach to economic dynamics
This monograph introduces new concepts of unstable periodic orbits and chaotic saddles which are unstable structures embedded in a chaotic attractor, responsible for economic intermittency.
Complex Motion ; 1st International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004, Revised Papers
The world we live in is a dynamic one: we explore it by moving through it, and many of the objects which we are interested in are also moving. Trafic, for instance, is an example of a domain where detecting and processing visual motion is of vital interest, both in a metaphoric as well as in a purely literal sense. Visual communication is another important example of an area of science which is dominated by the need to measure, understand, and represent visual motion in an eficient way. Visual motion is a subject of research which forces the investigator to deal with complexity; complexity in the sense of facing efiects of motion in a very large diversity of forms, starting from analyzing simple motion in a changing envir- ment (illumination, shadows, . . . ), under adverse observation conditions, such as bad signal-to-noiseratio (low illumination, small-scaleprocesses, low-dosex-ray, etc. ), covering also multiple motions of independent objects, occlusions, and - ing as far as dealing with objects which are complex in themselves (articulated objects such as bodies of living beings). The spectrum of problems includes, but does not end at, objects which are not ‘bodies’ at all, e. g. , when anal- ing fiuid motion, cloud motion, and so on. Analyzing the motion of a crowd in a shopping mall or in an airport is a further example that implies the need to struggle against the problems induced by complexity.
Clinical oral anatomy : A comprehensive review for dental practitioners and researchers
Presents the most current and comprehensive review of oral anatomy for clinicians and researchers alike. In 26 chapters, the reader is taken on a unique anatomical journey, starting with the oral fissure, continuing via the maxilla and mandible to the tongue and floor of the mouth, and concluding with the temporomandibular joint and masticatory muscles. Each chapter offers a detailed description of the relevant anatomical structures and their spatial relationships, provides quantitative morphological assessments, and explains the relevance of the region for clinical dentistry. All dental health care professionals require a sound knowledge of anatomy for the purposes of diagnostics, treatment planning, and therapeutic intervention. A full understanding of the relationship between anatomy and clinical practice is the ultimate objective, and this book will enable the reader to achieve such understanding as the basis for provision of the best possible treatment for each individual patient as well as recognition and comprehension of unexpected clinical findings.
Clinical dental pharmacology
Quick reference for drugs relevant to clinical dentistry. It delivers an essential reference for dental practitioners seeking quick, easy access to current and accurate information about drugs used by dentists in clinical practice. The book covers common drugs prescribed by dental practitioners as well as systemic medications which may impact on provision of clinical dental care. A separate section on recognition and management common medical emergencies in dental practice is also included.
Clinical concepts and practical management techniques in dentistry
Deals with complete oral health, including prevention, treatment, and cure. This book provides readers with the latest updates on dental clinical concepts and practical management techniques. It is divided into four sections that contain in-depth chapters with concepts and techniques from the fields of oral medicine, periodontology, radiology, endodontics, restorative dentistry, dental trauma, and probability and sampling. It is a compendium of work by internationally recognized oral clinicians and public healthcare leaders in dentistry. It presents updates on some of the most pertinent issues within the practice of dentistry, such as regenerative endodontic procedures, the unique role of radiographs, recognition of child abuse, and dental statistics.
Classification and Learning Using Genetic Algorithms : Applications in Bioinformatics and Web Intelligence
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries, and it demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks. It provides a balanced mixture of theories, algorithms and applications, and in particular results from the bioinformatics and Web intelligence domains.
