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Author: Pandjassarame Kangueane
Publisher: Springer
ISBN: 9811073473
Category : Medical
Languages : en
Pages : 207
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Book Description
This book illustrates the importance and significance of the molecular (physical and chemical) and evolutionary (gene fusion) principles of protein-protein and domain-domain interactions towards the understanding of cell division, disease mechanism and target definition in drug discovery. It describes the complex issues associated with this phenomenon using cutting edge advancement in Bioinformatics and Bioinformation Discovery. The chapters provide current information pertaining to the types of protein-protein complexes (homodimers, heterodimers, multimer complexes) in context with various specific and sensitive biological functions. The significance of such complex formation in human biology in the light of molecular evolution is also highlighted using several examples. The chapters also describe recent advancements on the molecular principles of protein-protein interaction with reference to evolution towards target identification in drug discovery. Finally, the book also elucidates a comprehensive yet a representative description of a large number of challenges associated with the molecular interaction of proteins.
Author: Pandjassarame Kangueane
Publisher: Springer
ISBN: 9811073473
Category : Medical
Languages : en
Pages : 207
Get Book
Book Description
This book illustrates the importance and significance of the molecular (physical and chemical) and evolutionary (gene fusion) principles of protein-protein and domain-domain interactions towards the understanding of cell division, disease mechanism and target definition in drug discovery. It describes the complex issues associated with this phenomenon using cutting edge advancement in Bioinformatics and Bioinformation Discovery. The chapters provide current information pertaining to the types of protein-protein complexes (homodimers, heterodimers, multimer complexes) in context with various specific and sensitive biological functions. The significance of such complex formation in human biology in the light of molecular evolution is also highlighted using several examples. The chapters also describe recent advancements on the molecular principles of protein-protein interaction with reference to evolution towards target identification in drug discovery. Finally, the book also elucidates a comprehensive yet a representative description of a large number of challenges associated with the molecular interaction of proteins.
Author: Shu Chen Hou
Publisher: KOKOSHUNGSAN®
ISBN:
Category : Business & Economics
Languages : en
Pages : 31
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Book Description
Looking to make some extra cash online? Want to learn how to invest in domain names and turn a profit? Look no further than "Domain Money: The Quick and Easy Way to Earn Cash Online." This comprehensive guide is your ticket to success in the world of domain investing. With expert tips and strategies for choosing profitable domain names, buying and selling domains for a profit, and generating passive income through domain parking, you'll have everything you need to start making money online. But "Domain Money" is more than just a how-to guide. This ebook also covers the legal issues involved in domain investing, tips for protecting your investments from theft and scams, and advanced strategies for negotiating high-value domain sales. And that's not all. With case studies featuring successful domain investors and insights into the future of the industry, "Domain Money" is the ultimate resource for anyone looking to make money online through domain investing. Don't miss out on this opportunity to learn from the best and start earning cash online. Order your copy of "Domain Money: The Quick and Easy Way to Earn Cash Online" today!
Author: Jenny Ng
Publisher: Routledge
ISBN: 1136279458
Category : Law
Languages : en
Pages : 207
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Book Description
This book offers a comparative analysis of the domain name registration systems utililsed in Australia and the United Kingdom. Taking an international perspective, the author analyses the global trends and dynamics of the domain name registration systems and explores the advantages and disadvantages of restrictive and less restrictive systems by addressing issues of consumer protection. The book examines the regulatory frameworks in the restrictive and unrestrictive registration systems and considers recent developments in this area. Jenny Ng also examines the legal and economic implications of these regulatory frameworks, drawing upon economic theory, regulatory and systems theory as well as applying rigorous legal analysis. In doing so, this work proposes ways in which such systems could be better designed to reflect the needs of the specific circumstances in individual jurisdictions. The Domain Name Registration System will be of particular interest to academics and students of IT law and e-commerce.
Author: Alistair G. Sutcliffe
Publisher: Springer
ISBN: 0387350594
Category : Computers
Languages : en
Pages : 278
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Book Description
This book describes how domain knowledge can be used in the design of interactive systems. It includes discussion of the theories and models of domain, generic domain architectures and construction of system components for specific domains. It draws on research experience from the Information Systems, Software Engineering and Human Computer Interaction communities.
Author: Richa Singh
Publisher: Springer Nature
ISBN: 3030306712
Category : Computers
Languages : en
Pages : 144
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Book Description
This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field. The text presents a diverse selection of novel techniques, covering applications of object recognition, face recognition, and action and event recognition. Topics and features: reviews the domain adaptation-based machine learning algorithms available for visual understanding, and provides a deep metric learning approach; introduces a novel unsupervised method for image-to-image translation, and a video segment retrieval model that utilizes ensemble learning; proposes a unique way to determine which dataset is most useful in the base training, in order to improve the transferability of deep neural networks; describes a quantitative method for estimating the discrepancy between the source and target data to enhance image classification performance; presents a technique for multi-modal fusion that enhances facial action recognition, and a framework for intuition learning in domain adaptation; examines an original interpolation-based approach to address the issue of tracking model degradation in correlation filter-based methods. This authoritative work will serve as an invaluable reference for researchers and practitioners interested in machine learning-based visual recognition and understanding.
Author: Gabriela Csurka
Publisher: Springer Nature
ISBN: 3031791754
Category : Computers
Languages : en
Pages : 182
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Book Description
Solving problems with deep neural networks typically relies on massive amounts of labeled training data to achieve high performance. While in many situations huge volumes of unlabeled data can be and often are generated and available, the cost of acquiring data labels remains high. Transfer learning (TL), and in particular domain adaptation (DA), has emerged as an effective solution to overcome the burden of annotation, exploiting the unlabeled data available from the target domain together with labeled data or pre-trained models from similar, yet different source domains. The aim of this book is to provide an overview of such DA/TL methods applied to computer vision, a field whose popularity has increased significantly in the last few years. We set the stage by revisiting the theoretical background and some of the historical shallow methods before discussing and comparing different domain adaptation strategies that exploit deep architectures for visual recognition. We introduce the space of self-training-based methods that draw inspiration from the related fields of deep semi-supervised and self-supervised learning in solving the deep domain adaptation. Going beyond the classic domain adaptation problem, we then explore the rich space of problem settings that arise when applying domain adaptation in practice such as partial or open-set DA, where source and target data categories do not fully overlap, continuous DA where the target data comes as a stream, and so on. We next consider the least restrictive setting of domain generalization (DG), as an extreme case where neither labeled nor unlabeled target data are available during training. Finally, we close by considering the emerging area of learning-to-learn and how it can be applied to further improve existing approaches to cross domain learning problems such as DA and DG.
Author:
Publisher: Steve Gobin
ISBN: 1476057044
Category :
Languages : en
Pages : 40
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Book Description
Author: Stephen H. Edwards
Publisher: Springer Science & Business Media
ISBN: 3642042104
Category : Computers
Languages : en
Pages : 309
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Book Description
This book constitutes the refereed proceedings of the 11th International Conference on Software Reuse, ICSR 2009, held in Falls Church, VA, USA, in September 2009. The 28 full papers were caryfully selected from numerous submissions. 2009 was the year that ICSR went back to its roots. The theme was Formal Foundations of Reuse and Domain Engineering. The theory and formal foundations that underlie current reuse and domain engineering practice were explored and current advancements to get an idea of where the field of reuse was headed, were looked at. Many of the papers in these proceedings reflect that theme, e.g. component reuse and verification, feature modeling, generators and model-driven development, industry experience, product lines, reuse and patterns, service-oriented environments.
Author: Daniel Anderson
Publisher: Routledge
ISBN: 1351448935
Category : Mathematics
Languages : en
Pages : 432
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Book Description
The contents in this work are taken from both the University of Iowa's Conference on Factorization in Integral Domains, and the 909th Meeting of the American Mathematical Society's Special Session in Commutative Ring Theory held in Iowa City. The text gathers current work on factorization in integral domains and monoids, and the theory of divisibility, emphasizing possible different lengths of factorization into irreducible elements.
Author: Massimiliano Mancini
Publisher: Sapienza Università Editrice
ISBN: 8893772485
Category : Computers
Languages : en
Pages : 285
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Book Description
Despite being the leading paradigm in computer vision, deep neural networks are inherently limited by the visual and semantic information contained in their training set. In this thesis, we aim to design deep models operating with previously unseen visual domains and semantic concepts. We first describe different solutions for generalizing to new visual domains, applying variants of normalization layers to multiple challenging settings e.g. where new domain data is not available but arrives online or is described by metadata. In the second part, we incorporate new semantic concepts into pretrained deep models. We propose specific solutions for different problems such as multi-task/incremental learning and open-world recognition. Finally, we merge the two challenges: given images of multiple domains and categories, can we recognize unseen concepts in unseen domains? We propose an approach that is the first, promising step, towards solving this problem. Winner of the Competition “Prize for PhD Thesis 2020” arranged by Sapienza University Press.
