Author: Sebastian RaschkaPublisher:
ISBN: 9780355527322
Category : Electronic dissertations
Languages : en
Pages : 200
Book Description
Uncovering Hidden Patterns of Molecular Recognition
Author: Sebastian RaschkaPublisher:
ISBN: 9780355527322
Category : Electronic dissertations
Languages : en
Pages : 200
Book Description
MOLECULAR RECOGNITION: BIOTECHNOLOGY, CHEMICAL ENGINEERING AND MATERIALS APPLICATIONS
Author: JASON A. MCEVOYPublisher: Lulu.com
ISBN: 0359602312
Category : Chemistry
Languages : en
Pages : 322
Book Description
Pattern Recognition in Computational Molecular Biology
Author: Mourad ElloumiPublisher: John Wiley & Sons
ISBN: 1119078865
Category : Technology & Engineering
Languages : en
Pages : 654
Book Description
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.
Pattern Recognition in Computational Molecular Biology
Author: Mourad ElloumiPublisher: John Wiley & Sons
ISBN: 1119078857
Category : Technology & Engineering
Languages : en
Pages : 655
Book Description
A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.
Molecular Inclusion and Molecular Recognition - Clathrates I
Author: Edwin WeberPublisher:
ISBN: 9783662151419
Category :
Languages : en
Pages : 184
Book Description
Biomphalaria Snails and Larval Trematodes
Author: Rafael ToledoPublisher: Springer Science & Business Media
ISBN: 1441970282
Category : Medical
Languages : en
Pages : 249
Book Description
The purpose of this book is to provide an overview of the biology of the planorbid snail Biomphalaria glabrata mainly as related to the snail’s role as a host of larval trematodes . This snail is of great importance in medical and economic zoology as a vector of important trematode (fluke) diseases in human and veterinary medicine and in wildlife biology. Moreover, this snail is a useful model for numerous basic studies in biology and chemistry. A book that provides modern coverage of diverse topics from the molecule to the community of this snail as related to larval trematode parasitism is not available. This book should appeal to a wide audience of biologists, ecologists, biochemists, malacologists, parasitologists, public health workers, epidemiologists, and graduate and advanced undergraduate students in biomedical and allied health sciences.
Artificial Neural Networks and Machine Learning – ICANN 2023
Author: Lazaros IliadisPublisher: Springer Nature
ISBN: 3031442164
Category : Computers
Languages : en
Pages : 633
Book Description
The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.
Software-Defined Network Frameworks
Author: Mandeep KaurPublisher: CRC Press
ISBN: 1040018327
Category : Technology & Engineering
Languages : en
Pages : 325
Book Description
Software-Defined Networks (SDN) work by virtualization of the network and the Cognitive Software-Defined Network (CSDN) combines the efficiencies of SDN with cognitive learning algorithms and enhanced protocols to automatize SDN. Partial deployment of SDN along with traditional networking devices forms a Hybrid Software-Defined Network (HSDN). Software-Defined Network Frameworks: Security Issues and Use Cases consolidates the research relating to the security in SDN, CSDN, and Hybrid SDNs. The security enhancements derived from the use of various SDN frameworks and the security challenges thus introduced, are also discussed. Overall, this book explains the different architectures of SDNs and the security challenges needed for implementing them. Features: Illustrates different frameworks of SDN and their security issues in a single volume Discusses design and assessment of efficient SDN northbound/southbound interfaces Describes cognitive computing, affective computing, machine learning, and other novel tools Illustrates coupling of SDN and traditional networking – Hybrid SDN Explores services, technologies, algorithms, and methods for data analysis in CSDN The book is aimed at researchers and graduate students in software engineering, network security, computer networks, high performance computing, communications engineering, and intelligent systems.
Pattern Recognition in Bioinformatics
Author: Jagath C. RajapaksePublisher: Springer Science & Business Media
ISBN: 3540374469
Category : Science
Languages : en
Pages : 197
Book Description
This book constitutes the refereed proceedings of the International Workshop on Pattern Recognition in Bioinformatics, PRIB 2006, held in Hong Kong, within the scope of the 18th International Conference on Pattern Recognition, ICPR 2006. The book presents 19 revised full papers, covering all topics of the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data. Includes an introduction to Pattern Recognition in Bioinformatics.
Pattern Recognition and Machine Learning
Author: Christopher M. BishopPublisher: Springer
ISBN: 9781493938438
Category : Computers
Languages : en
Pages : 0
Book Description
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.