الصفحة 2
الصفحة 2
New Frontiers in Banking Services : Emerging Needs and Tailored Products for Untapped Markets
This book is devoted to an issue that is the subject of growing interest amongst policy makers, financial providers and academics. That issue is the problem of unbanking or underbanking in developed countries. The issue has arisen because, faced with an ever more sophisticated and efficient financial system, an increasing number of people have found themselves in danger of being excluded from it. The goal of the papers that follow is to draw attention, both through a theoretical framework and through field study, to the need for banks, financial institutions, public authorities and non profit associations to increase their efforts to understand the process of financial exclusion, so that they can develop approaches to help people on low to moderate incomes to gain access to the whole range of financial services, from payment to savings, and from loans to investment.
New Directions in Human Information Behavior
The book presents chapters by an interdisciplinary range of scholars who show new directions that often challenge the established views and paradigms of information behavior studies. Beginning with an evolutionary framework, the book examines information behaviors over various epochs of human existence from the Palaeolithic Era and within pre-literate societies, to contemporary behaviors by 21st century humans. Drawing upon social and psychological science theories the book presents a more integrated and holistic approach to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals’ information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these new approaches and presents an overview of the key trends, theories and models for further research.
Neuroscribe = نيوروسكرايب
Neuroscribe is a cutting-edge deep learning framework designed to address the complexities and inefficiencies encountered in existing frameworks like PyTorch and TensorFlow. Aimed at streamlining model development and enhancing performance across diverse hardware environments, NeuroScribe offers a lightweight and flexible solution. The framework features a robust tensor library, an auto-differentiation engine, a comprehensive neural network module, and advanced optimization algorithms. With built-in visualization tools and a user-friendly interface, NeuroScribe simplifies both beginner and advanced workflows. Its cross-platform compatibility, supported by CUDA and Metal Performance Shaders (MPS), ensures optimal performance, and in some scenarios, NeuroScribe demonstrates superior speed compared to leading frameworks. Additionally, NeuroScribe introduces unique libraries and features not found in other frameworks, further enhancing its versatility and appeal. The modular architecture and automatic system detection further enhance its adaptability, making NeuroScribe a versatile and powerful tool for deep learning practitioners.
Neuropathology Review
The scope of neuropathology continues to expand, as evidenced by increasing numbers of multivolume and specialty texts, which have been published in recent years. For those in the neuroscience disciplines, the ever increasing amount of information one needs to assimilate and master can be challenging and even at times daunting. As with the first edition, this second edition of Neuropathology Review summarizes, in outline form, the essentials of neuropathology. The objective is twofold: 1) to provide an overview of neuropathology for those initially encountering the discipline and, 2) to provide a framework for review for those preparing for in-service and board examinations in the disciplines of neurology, neurosurgery and pathology, which require some knowledge of neuropathology.
Neurodevelopmental Disorders
The book comprises a number of topics related to psychosocial and motor development and is exemplary with regard to its comprehensiveness, as reviews of the topics presented are generally not available in a single publication. It starts with a timely and critical discussion of the genetics of attention deficit hyperactivity disorder by Dr. Buitelaar in which prospects and challenges of this approach are outlined. The next chapter by Drs. Nicolson and Fawcett deals with dyslexia and its relationship to cerebellar function providing a framework that can explain motor, speed, and phonological deficits in a unified approach. Diagnostic and treatment aspects of speech development disorders are the focus of Dr. Zorowka’s contribution in which, among other issues, the necessity of mul- professional cooperation is stressed. Dr. Sigmundsson then focuses on disorders of motor development. 6-10 % of children have motor competence well below the norm, which often persist.
Neural Networks in a Softcomputing Framework
This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model.
Neufert architects' data ; 4th ed.
An essential reference for the initial design and planning of a building project. It provides, in one concise volume, the core information needed to form the framework for the more detailed design and planning of any building project. Organised largely by building type, it covers the full range of preliminary considerations, and with over 6200 diagrams it provides a mass of data on spatial requirements.Most illustrations are dimensioned and each building type includes plans, sections, site layouts and design details. An extensive bibliography and a detailed set of metric/ imperial conversion tables are included.
Network-Centric Service-Oriented Enterprise
Network-Centric Service-Oriented Enterprise (NSCOE) is seen as heralding the next generation of mainstream Enterprise-business information collaboration solution that can enforce information and decision superiority in the decentralized, loosely-coupled, and highly interoperable service environments. Network-Centric Service Oriented Enterprise establishes a system-of-systems (SoS) view of information technologies, offering a synergistic combination of data and information-processing capacity upon an innovative networked-management framework.
Network-Centric Collaboration and Supporting Frameworks ; IFIP TC 5 WG 5.5, Seventh IFIP Working Conference on Virtual Enterprises, 25-27 September 2006, Helsinki, Finland
This book contains a number of selected articles from PRO-VE’06, the seventh working conference on virtual enterprises held in Helsinki, Finland, which was sponsored by the International Federation for Information Processing (IFIP) and the Society of Collaborative Networks (SOCOLNET). Being recognized as the most focused scientific and technical conference on Collaborative Networks, PRO-VE continues offering the opportunity for presentation and discussion of both the latest research developments as well as the practical application case studies. Following the vision of IFIP and SOCOLNET, the PRO-VE conference offers a forum for collaboration and knowledge exchange among experts from different regions of the world.
Network Classification For Traffic Management : Anomaly detection, feature selection, clustering and classification
Investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. With the massive increase of data and traffic on the Internet within the 5G, IoT and smart cities frameworks, current network classification and analysis techniques are falling short. Novel approaches using machine learning algorithms are needed to cope with and manage real-world network traffic, including supervised, semi-supervised, and unsupervised classification techniques. Accurate and effective classification of network traffic will lead to better quality of service and more secure and manageable networks. Investigates network traffic classification solutions by proposing transport-layer methods to achieve better run and operated enterprise-scale networks. The authors explore novel methods for enhancing network statistics at the transport layer, helping to identify optimal feature selection through a global optimization approach and providing automatic labelling for raw traffic through a SemTra framework to maintain provable privacy on information disclosure properties.
Negotiations with Asymmetrical Distribution of Power : Conclusions from Dispute Resolution in Network Industries
In many ways, complex negotiations shape the business arena of regulated network markets. In general, negotiating partners are not equal with regard to their various sources and instruments of power. This book unfolds a differentiated and, at the same time, applicable framework for analyzing and managing negotiations. It creatively combines power and negotiations theories. In addition, it illustrates the findings in a very inspiring way by investigating negotiation episodes in network industries such as telecommunications and railways. Thus, this book is highly relevant for all those wanting to better understand the complex political processes and outcomes in regulated industries, but also for those bearing practical responsibility in regulatory and government affairs and wanting to improve their management performance.
Multi-Sensor Data Fusion : An Introduction
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
Multiscale Problems in the Life Sciences : From Microscopic to Macroscopic
The aim of this volume that presents Lectures given at a joint CIME and Banach Center Summer School, is to offer a broad presentation of a class of updated methods providing a mathematical framework for the development of a hierarchy of models of complex systems in the natural sciences, with a special attention to Biology and Medicine. Mastering complexity implies sharing different tools requiring much higher level of communication between different mathematical and scientific schools, for solving classes of problems of the same nature. Today more than ever, one of the most important challenges derives from the need to bridge parts of a system evolving at different time and space scales, especially with respect to computational affordability. As a result the content has a rather general character; the main role is played by stochastic processes, positive semigroups, asymptotic analysis, kinetic theory, continuum theory and game theory.
Multiscale Methods : Averaging and Homogenization
This introduction to multiscale methods gives readers a broad overview of the many uses and applications of the methods. The book begins by setting the theoretical foundations of the subject area, and moves on to develop a unified approach to the simplification of a wide range of problems which possess multiple scales, via perturbation expansions; differential equations and stochastic processes are studied in one unified framework. The book concludes with an overview of a range of theoretical tools used to justify the simplified models derived via the perturbation expansions.
Multiple Classifier Systems ; 2nd International Workshop, MCS 2001 Cambridge, UK, July 2-4, 2001 Proceedings
Driven by the requirements of a large number of practical and commercially - portant applications, the last decade has witnessed considerable advances in p- tern recognition. Better understanding of the design issues and new paradigms, such as the Support Vector Machine, have contributed to the development of - proved methods of pattern classi cation. However, while any performance gains are welcome, and often extremely signi cant from the practical point of view, it is increasingly more challenging to reach the point of perfection as de ned by the theoretical optimality of decision making in a given decision framework. The asymptoticity of gains that can be made for a single classi er is a re?- tion of the fact that any particular design, regardless of how good it is, simply provides just one estimate of the optimal decision rule.
Multimodal User Interfaces : From Signals to Interaction
The book presents a common theoretical framework for fusion and fission of multimodal information using the most advanced signal processing algorithms constrained by HCI rules, described in detail and integrated in the context of a common distributed software platform for easy and efficient development and usability assessment of multimodal tools. The book also demonstrates the use of the multimodal framework for the development of a set of applications in the areas of edutainment, interfaces for disabled people and interfaces for medical applications.
Multimodal Texts in Disciplinary Education : A Comprehensive Framework
This book provides an introduction to multimodality and the role of multimodal texts in today’s education. Presenting a comprehensive framework for analysing and working with multimodal texts in disciplinary education, it serves as a tool for researchers and teachers alike. The second part of the book focuses on sample analyses of a variety of educational texts for different age groups and from different disciplines, including games and online resources. The authors also comment on the specific challenges of each text, and how teachers can discuss such texts with their students to enhance both their understanding of the content and their multimodal literacy.
Multilevel Block Factorization Preconditioners : Matrix-based Analysis and Algorithms for Solving Finite Element Equations
This monograph is the first to provide a comprehensive, self-contained and rigorous presentation of some of the most powerful preconditioning methods for solving finite element equations in a common block-matrix factorization framework. Topics covered include the classical incomplete block-factorization preconditioners and the most efficient methods such as the multigrid, algebraic multigrid, and domain decomposition. Additionally, the author discusses preconditioning of saddle-point, nonsymmetric and indefinite problems, as well as preconditioning of certain nonlinear and quadratic constrained minimization problems that typically arise in contact mechanics. The book presents analytical as well as algorithmic aspects.
Multidimensional Poverty Measurement : Concepts and Applications
Conceptualization and measurement of poverty have traditionally relied on purely economic approaches, with income or consumption as the only indicator. Multidimensional approaches have increasingly been used to understand poverty, but have yet to be fully operationalized. This book uses factor analysis and structural equations modeling to develop a multidimensional framework that integrates capability and social inclusion as additional poverty indicators. The empirical relevance of this methodological contribution is demonstrated through its application in the United States and Nepal. The proposed approach not only helps to identify different categories of the poor, but also to more accurately target resources and policies of poverty alleviation. The book will therefore be an important reference for professionals in development agencies as well as for poverty and policy researchers.
Multi-Agent Programming : Languages, Platforms and Applications
Part I describes four approaches that are based on computational logic or process algebra--Jason, 3APL, IMPACT, and CLAIM/SyMPA. These programming languages have formal semantics and use heavy machinery based on formal methods, but also provide working platforms for the development of multi-agent systems. Part II presents agent languages and platforms that extend or are based on Java--JADE, Jadex, and JACKTM. Although these have no formal semantics, the languages are well documented and the platforms provide a variety of tools that have been extensively used in practice. Part III provides two significant industry specific applications--The DEFACTO System for coordinating human-agent teams for the future of disaster response, and the ARTIMIS rational dialogue agent technology. The book also features seven appendices, summarising each of the agent programming languages, hence facilitating comparison of the approaches. In particular, Appendix A describes the criteria used for comparing the agent languages and platforms.
