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2011 Ieee International Workshop On Genomic Signal Processing And Statistics Gensips 2011 Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of 2011 Ieee International Workshop On Genomic Signal Processing And Statistics Gensips 2011 book. This book definitely worth reading, it is an incredibly well-written.
Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 43,5 Mb
Release : 2011-12-07
Category : Electronic
ISBN : 1467304913
Author : Anonim
Publisher : Unknown
Page : 233 pages
File Size : 52,7 Mb
Release : 2011
Category : Electronic
ISBN : 1467304891
Author : Anonim
Publisher : Unknown
Page : 105 pages
File Size : 53,8 Mb
Release : 2013
Category : Electronic
ISBN : 1479934615
Author : Pey-Chang Kent Lin,Sunil P. Khatri
Publisher : Springer Science & Business Media
Page : 100 pages
File Size : 46,8 Mb
Release : 2013-10-31
Category : Technology & Engineering
ISBN : 9781461494294
This book brings to bear a body of logic synthesis techniques, in order to contribute to the analysis and control of Boolean Networks (BN) for modeling genetic diseases such as cancer. The authors provide several VLSI logic techniques to model the genetic disease behavior as a BN, with powerful implicit enumeration techniques. Coverage also includes techniques from VLSI testing to control a faulty BN, transforming its behavior to a healthy BN, potentially aiding in efforts to find the best candidates for treatment of genetic diseases.
Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 1186 pages
File Size : 41,9 Mb
Release : 2019-11-06
Category : Computers
ISBN : 9781643680194
The Fuzzy Systems and Data Mining (FSDM) conference is an annual event encompassing four main themes: fuzzy theory, algorithms and systems, which includes topics like stability, foundations and control; fuzzy application, which covers different kinds of processing as well as hardware and architectures for big data and time series and has wide applicability; the interdisciplinary field of fuzzy logic and data mining, encompassing applications in electrical, industrial, chemical and engineering fields as well as management and environmental issues; and data mining, outlining new approaches to big data, massive data, scalable, parallel and distributed algorithms. The annual conference provides a platform for knowledge exchange between international experts, researchers, academics and delegates from industry. This book includes the papers accepted and presented at the 5th International Conference on Fuzzy Systems and Data Mining (FSDM 2019), held in Kitakyushu, Japan on 18-21 October 2019. This year, FSDM received 442 submissions. All papers were carefully reviewed by program committee members, taking account of the quality, novelty, soundness, breadth and depth of the research topics falling within the scope of FSDM. The committee finally decided to accept 137 papers, which represents an acceptance rate of about 30%. The papers presented here are arranged in two sections: Fuzzy Sets and Data Mining, and Communications and Networks. Providing an overview of the most recent scientific and technological advances in the fields of fuzzy systems and data mining, the book will be of interest to all those working in these fields.
Author : Vikrant Bhateja,Sheng-Lung Peng,Suresh Chandra Satapathy,Yu-Dong Zhang
Publisher : Springer Nature
Page : 780 pages
File Size : 48,5 Mb
Release : 2020-09-08
Category : Technology & Engineering
ISBN : 9789811557880
This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2). Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines.
Author : Jihong Yan
Publisher : John Wiley & Sons
Page : 354 pages
File Size : 49,8 Mb
Release : 2015-02-02
Category : Technology & Engineering
ISBN : 9781118638729
This book gives a complete presentatin of the basic essentials of machinery prognostics and prognosis oriented maintenance management, and takes a look at the cutting-edge discipline of intelligent failure prognosis technologies for condition-based maintenance. Presents an introduction to advanced maintenance systems, and discusses the key technologies for advanced maintenance by providing readers with up-to-date technologies Offers practical case studies on performance evaluation and fault diagnosis technology, fault prognosis and remaining useful life prediction and maintenance scheduling, enhancing the understanding of these technologies Pulls togeter recent developments and varying methods into one volume, complemented by practical examples to provide a complete reference
Author : IEEE Electrical Insulation Society Staff
Publisher : Unknown
Page : 128 pages
File Size : 41,9 Mb
Release : 2012-12-02
Category : Electronic
ISBN : 1467352349
Author : Ulisses M. Braga Neto,Edward R. Dougherty
Publisher : John Wiley & Sons
Page : 336 pages
File Size : 44,5 Mb
Release : 2015-06-22
Category : Technology & Engineering
ISBN : 9781119079378
This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to distributional and Bayesian theory, it covers important topics and essential issues pertaining to the scientific validity of pattern classification. Error Estimation for Pattern Recognition focuses on error estimation, which is a broad and poorly understood topic that reaches all research areas using pattern classification. It includes model-based approaches and discussions of newer error estimators such as bolstered and Bayesian estimators. This book was motivated by the application of pattern recognition to high-throughput data with limited replicates, which is a basic problem now appearing in many areas. The first two chapters cover basic issues in classification error estimation, such as definitions, test-set error estimation, and training-set error estimation. The remaining chapters in this book cover results on the performance and representation of training-set error estimators for various pattern classifiers. Additional features of the book include: • The latest results on the accuracy of error estimation • Performance analysis of re-substitution, cross-validation, and bootstrap error estimators using analytical and simulation approaches • Highly interactive computer-based exercises and end-of-chapter problems This is the first book exclusively about error estimation for pattern recognition. Ulisses M. Braga Neto is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, USA. He received his PhD in Electrical and Computer Engineering from The Johns Hopkins University. Dr. Braga Neto received an NSF CAREER Award for his work on error estimation for pattern recognition with applications in genomic signal processing. He is an IEEE Senior Member. Edward R. Dougherty is a Distinguished Professor, Robert F. Kennedy ’26 Chair, and Scientific Director at the Center for Bioinformatics and Genomic Systems Engineering at Texas A&M University, USA. He is a fellow of both the IEEE and SPIE, and he has received the SPIE Presidents Award. Dr. Dougherty has authored several books including Epistemology of the Cell: A Systems Perspective on Biological Knowledge and Random Processes for Image and Signal Processing (Wiley-IEEE Press).
Author : Ai Sheng,Yizhong Wang
Publisher : CRC Press
Page : 635 pages
File Size : 47,7 Mb
Release : 2014-11-24
Category : Technology & Engineering
ISBN : 9781315760728
Manufacturing and Engineering Technology brings together around 200 peer-reviewed papers presented at the 2014 International Conference on Manufacturing and Engineering Technology, held in San-ya, China, October 17-19, 2014.The main objective of these proceedings is to take the Manufacturing and Engineering Technology discussion a step further. Con
Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 2013
Category : Bioinformatics
ISBN : 1479934615
Author : Jiaqian Wu
Publisher : Springer
Page : 185 pages
File Size : 40,6 Mb
Release : 2015-11-17
Category : Science
ISBN : 9789401774505
This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve prognosis, diagnostics, prediction of severity, and therapies for human diseases. It introduces some of state of the art technologies as well as computational and statistical tools for translational bioinformatics in the areas of gene transcription and regulation, including the tools for next generation sequencing analyses, alternative spicing, the modeling of signaling pathways, network analyses in predicting disease genes, as well as protein and gene expression data integration in complex human diseases etc. The book is particularly useful for researchers and students in the field of molecular biology, clinical biology and bioinformatics, as well as physicians etc. Dr. Jiaqian Wu is assistant professor in the Vivian L. Smith Department of Neurosurgery and Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Centre, Houston, TX, USA.
Author : Hamid R Arabnia,Quoc Nam Tran
Publisher : Morgan Kaufmann
Page : 670 pages
File Size : 42,5 Mb
Release : 2015-08-11
Category : Computers
ISBN : 9780128026465
Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.
Author : Martin Bossert
Publisher : Springer
Page : 374 pages
File Size : 46,9 Mb
Release : 2017-08-01
Category : Technology & Engineering
ISBN : 9783319547299
This edited monograph presents the collected interdisciplinary research results of the priority program “Information- and Communication Theory in Molecular Biology (InKoMBio, SPP 1395)”, funded by the German Research Foundation DFG, 2010 until 2016. The topical spectrum is very broad and comprises, but is not limited to, aspects such as microRNA as part of cell communication, information flow in mammalian signal transduction pathway, cell-cell communication, semiotic structures in biological systems, as well as application of methods from information theory in protein interaction analysis. The target audience primarily comprises research experts in the field of biological signal processing, but the book is also beneficial for graduate students alike.
Author : Zhi-Liang Ji,Lixia Yao,Kartick Chandra Pramanik,Zhaohui John Cai
Publisher : Frontiers Media SA
Page : 129 pages
File Size : 52,7 Mb
Release : 2020-07-28
Category : Electronic
ISBN : 9782889638888
