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Data Mining in der Medizin und Medizintechnik

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Book Series: Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Universität Karlsruhe (TH) ISSN: 16145267 ISBN: 9783866442535 Year: Volume: 22 Pages: VIII, 356 p. DOI: 10.5445/KSP/1000008476 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:59
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Dieses Buch systematisiert Ziele, Einsatzszenarien, Vorgehensweisen, Methoden und Anwendungsfelder für eine automatisierte Datenanalyse in der Medizin und Medizintechnik. Es wendet sich hauptsächlich an Doktoranden, Diplom- und Masterstudenten der Ingenieurwissenschaften und Informatik. Im Mittelpunkt steht dabei das Spannungsfeld zwischen medizinischen Anwendern und ihren Zielstellungen sowie den Potenzialen vorhandener Data-Mining-Verfahren.

Model-Driven Development and Operation of Multi-Cloud Applications: The MODAClouds Approach

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Book Series: SpringerBriefs in Applied Sciences and Technology ISSN: 2191-530X ISBN: 9783319460307 9783319460314 Year: Pages: 149 DOI: 10.1007/978-3-319-46031-4 Language: English
Publisher: Springer
Subject: Chemical Engineering --- Media and communication --- Geology --- Earth Sciences --- Business and Management --- Computer Science --- Electrical and Nuclear Engineering
Added to DOAB on : 2017-03-09 11:42:39
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This book summarizes work being undertaken within the collaborative MODAClouds research project, which aims to facilitate interoperability between heterogeneous Cloud platforms and remove the constraints of deployment, portability, and reversibility for end users of Cloud services. Experts involved in the project provide a clear overview of the MODAClouds approach and explain how it operates in a variety of applications.While the wide spectrum of available Clouds constitutes a vibrant technical environment, many early-stage issues pose specific challenges from a software engineering perspective. MODAClouds will provide methods, a decision support system, and an open source IDE and run-time environment for the high-level design, early prototyping, semiautomatic code generation, and automatic deployment of applications on multiple Clouds. It will free developers from the need to commit to a fixed Cloud technology stack during software design and offer benefits in terms of cost savings, portability of applications and data between Clouds, reversibility (moving applications and data from Cloud to non-Cloud environments), risk management, quality assurance, and flexibility in the development process.

Machine Learning for Cyber Physical Systems

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Book Series: Technologien für die intelligente Automation ISBN: 9783662584859 Year: Pages: 136 DOI: 10.1007/978-3-662-58485-9 Language: English
Publisher: Springer
Subject: Computer Science --- Agriculture (General)
Added to DOAB on : 2020-01-29 11:21:06
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This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

Models, Methods and Tools for Product Service Design

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Book Series: SpringerBriefs in Applied Sciences and Technology ISBN: 9783319958491 Year: Pages: 143 DOI: 10.1007/978-3-319-95849-1 Language: English
Publisher: Springer
Subject: Computer Science --- Agriculture (General) --- Business and Management
Added to DOAB on : 2020-02-04 11:21:12
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This open access book summarizes research being pursued within the Manutelligence project, the goal of which is to help enterprises develop smart, social and flexible products with high value added services. Manutelligence has improved Product and Service Design by developing suitable models and methods, and connecting them through a modular, collaborative and secure ICT Platform. The use of real data collected in real time by Internet of Things (IoT) technologies underpins the design of product-service systems and makes it possible to monitor them throughout their life cycle. Available data allows costs and sustainability issues to be more accurately measured and simulated in the form of Life Cycle Cost (LCC) and Life Cycle Assessment (LCA). Analysing data from IoT systems and sharing LCC and LCA information via the ICT Platform can help to accelerate the design of product-service systems, reduce costs and better understand customer needs. Industrial partners involved in Manutelligence provide a clear overview of the project’s outcomes, and demonstrate how its technological solutions can be used to improve the design of product-service systems and the management of product-service life cycles.

Ontology in Information Science

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ISBN: 9789535138877 9789535138884 9789535139850 Year: Pages: 310 DOI: 10.5772/65599 Language: English
Publisher: IntechOpen
Subject: Computer Science
Added to DOAB on : 2019-10-03 07:51:51

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The book on Ontology in Information Science explores a broad set of ideas and presents some of the state-of-the-art research in this field concisely in 12 chapters. This book provides researchers and practitioners working in the field of ontology and information science an opportunity to share their theories, methodologies, experiences, and experimental results related to ontology development and application in various areas. It also includes the design aspects of domain ontologies considering the architecture, development strategy, and selection of tools. The intended audience of this book will mainly consist of researchers, research students, and practitioners in the field of ontology and information science.

Handbook on Craniofacial Superimposition

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ISBN: 9783319111377 Year: Pages: 205 DOI: 10.1007/978-3-319-11137-7 Language: English
Publisher: Springer
Subject: Computer Science --- Medicine (General) --- Social Sciences
Added to DOAB on : 2020-02-04 11:21:09

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This open access handbook presents a trustable craniofacial superimposition methodological framework. It includes detailed technical and practical overviews, and discussions about the latest tools and open problems, covering the educational, technical, ethical, and security aspects of this forensic identification technique. The book will be of particular interest to researchers and practitioners in forensic anthropology and forensic ID, and also researchers in computational intelligence. It is the final result of a European project, New Methodologies and Protocols of Forensic Identification by Craniofacial Superimposition (MEPROCS). The project collaborators who contributed to this handbook are: S. Damas, O. Ibáñez, M.I. Huete, T. Kahana, C. Wilkinson, E. Ferguson, C. Erolin, C. Cattaneo, P.T. Jayaprakash, R. Jankauskas, F. Cavalli, K. Imaizumi, R. Vicente, D. Navega, E. Cunha, A.H. Ross, E. Veselovskaya, A. Abramov, P. Lestón, F. Molinero, E. Ruiz, F. Navarro, J. Cardoso, F. Viegas, D. Humpire, R. Hardiman, J. Clement, A. Valsecchi, B.R. Campomanes-Alvarez, C. Campomanes-Alvarez, A.S. Çağdır, T. Briers, M. Steyn, M. Viniero, D.N. Vieira, and O. Cordón. ; Authors among leading researchers and practitioners worldwide Reports successful collaborative project results First comprehensive guide on this important technique Open Access

Computational Intelligence in Photovoltaic Systems

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ISBN: 9783039210985 / 9783039210992 Year: Pages: 180 DOI: 10.3390/books978-3-03921-099-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 16:10:12
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Photovoltaics, among the different renewable energy sources (RES), has become more popular. In recent years, however, many research topics have arisen as a result of the problems that are constantly faced in smart-grid and microgrid operations, such as forecasting of the output of power plant production, storage sizing, modeling, and control optimization of photovoltaic systems. Computational intelligence algorithms (evolutionary optimization, neural networks, fuzzy logic, etc.) have become more and more popular as alternative approaches to conventional techniques for solving problems such as modeling, identification, optimization, availability prediction, forecasting, sizing, and control of stand-alone, grid-connected, and hybrid photovoltaic systems. This Special Issue will investigate the most recent developments and research on solar power systems. This Special Issue “Computational Intelligence in Photovoltaic Systems” is highly recommended for readers with an interest in the various aspects of solar power systems, and includes 10 original research papers covering relevant progress in the following (non-exhaustive) fields: Forecasting techniques (deterministic, stochastic, etc.); DC/AC converter control and maximum power point tracking techniques; Sizing and optimization of photovoltaic system components; Photovoltaics modeling and parameter estimation; Maintenance and reliability modeling; Decision processes for grid operators.

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