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High Performance Scientific Computing Using Distributed Infrastructures
  • Language: en
  • Pages: 527

High Performance Scientific Computing Using Distributed Infrastructures

This book aims to provide a deep look into Italian actions taken in some fields of science and high performance computing (HPC), and the Italian effort to bridge the HPC gap with respect to Europe. The Italian PON ReCaS Project is written for graduate readers and professionals in the field of high performance computing. It presents and discusses innovative and important technological solutions, and describes interesting results in various fields of application.ReCaS stands for 'Rete di Calcolo per SuperB e altre applicazioni' and is a computing network infrastructure in Southern Italy devoted to scientific and non-scientific applications within the vision of a common European infrastructure ...

Systemic Risk and Complex Networks in Modern Financial Systems
  • Language: en
  • Pages: 419

Systemic Risk and Complex Networks in Modern Financial Systems

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Predictive, Prognostic Biomarkers and Therapeutic Targets in Breast Cancer
  • Language: en
  • Pages: 701
Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications
  • Language: en
  • Pages: 436

Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications

  • Type: Book
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  • Published: 2014-07-23
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014. The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven investigations.

Computational Modeling of Objects Represented in Images
  • Language: en
  • Pages: 339

Computational Modeling of Objects Represented in Images

This volume constitutes the refereed proceedings of the International Symposium "Computational Modeling of Objects Represented in Images. Fundamentals, Methods and Applications'', CompIMAGE 2010, held in Buffalo, NY, in May 2010. The 28 revised full papers presented were carefully reviewed and selected from 77 submissions. They are organized in topical sections on theoretical foundations of image analysis and processing; methods and applications on medical imaging, bioimaging, biometrics, and imaging in material sciences, as well as methods and applications on image reconstruction, computed tomography, and other applications.

Bioinformatics and Biomedical Engineering
  • Language: en
  • Pages: 571

Bioinformatics and Biomedical Engineering

  • Type: Book
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  • Published: 2018-04-19
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  • Publisher: Springer

This two-volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.The 88 regular papers presented were carefully reviewed and selected from 273 submissions. The scope of the conference spans the following areas: bioinformatics for healthcare and diseases; bioinformatics tools to integrate omics dataset and address biological question; challenges and advances in measurement and self-parametrization of complex biological systems; computational genomics; computational proteomics; computational systems for modelling biological processes; drug delivery ...

Artificial Life and Evolutionary Computation
  • Language: en
  • Pages: 326

Artificial Life and Evolutionary Computation

  • Type: Book
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  • Published: 2018-04-02
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  • Publisher: Springer

This book constitutes the revised selected papers of the 12th Italian Workshop on Advances in Artificial Life, Evolutionary Computation, WIVACE 2017, held in Venice, Italy, in September 2017.The 23 full papers presented were thoroughly reviewed and selected from 33 submissions. They cover the following topics: physical-chemical phenomena; biological systems; economy and society; complexity; optimization.

Computational and Experimental Biomedical Sciences: Methods and Applications
  • Language: en
  • Pages: 262

Computational and Experimental Biomedical Sciences: Methods and Applications

  • Type: Book
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  • Published: 2015-03-16
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  • Publisher: Springer

This book contains the full papers presented at ICCEBS 2013 – the 1st International Conference on Computational and Experimental Biomedical Sciences, which was organized in Azores, in October 2013. The included papers present and discuss new trends in those fields, using several methods and techniques, including active shape models, constitutive models, isogeometric elements, genetic algorithms, level sets, material models, neural networks, optimization and the finite element method, in order to address more efficiently different and timely applications involving biofluids, computer simulation, computational biomechanics, image based diagnosis, image processing and analysis, image segmenta...

Computational Vision and Medical Image Processing IV
  • Language: en
  • Pages: 450

Computational Vision and Medical Image Processing IV

  • Type: Book
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  • Published: 2013-10-01
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  • Publisher: CRC Press

Computational Vision and Medical Image Processing. VIPIMAGE 2013 contains invited lectures and full papers presented at VIPIMAGE 2013 - IV ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Funchal, Madeira Island, Portugal, 14-16 October 2013). International contributions from 16 countries provide a comprehensive cov

Microbiome and Machine Learning, Volume II
  • Language: en
  • Pages: 209

Microbiome and Machine Learning, Volume II

Due to the success of Microbiome and Machine Learning, which collected research results and perspectives of researchers working in the field of machine learning (ML) applied to the analysis of microbiome data, we are launching the second volume to collate any new findings in the field to further our understanding and encourage the participation of experts worldwide in the discussion. The success of ML algorithms in the field is substantially due to their capacity to process high-dimensional data and deal with uncertainty and noise. However, to maximize the combinatory potential of these emerging fields (microbiome and ML), researchers have to deal with some aspects that are complex and inherently related to microbiome data. Microbiome data are convoluted, noisy and highly variable, and non-standard analytical methodologies are required to unlock their clinical and scientific potential. Therefore, although a wide range of statistical modelling and ML methods are available, their application is only sometimes optimal when dealing with microbiome data.