الصفحة 67
الصفحة 67
Innovations in Macroeconomics ; 2nd ed.
Modern macroeconomics suffers from an unclear link between short-term Keynesian analysis and long-term growth modelling. Moreover, product and process innovations have been only partially integrated. The analysis suggests new approaches to innovations in open economies in many ways, including the Schumpeterian Mundell-Fleming model and new monetary growth models. A specific focus is on the role of innovations for output, employment and exchange rate developments. A new link between monetary analysis and growth modelling in open economies is presented. Structural change, innovations and growth are considered from a new perspective. This important new book sets a new direction for macroeconomics. By linking several strands of fundamental economic thinking into a coherent, integrated framework it provides a pathbreaking understanding into the fundamental forces shaping macroeconomic performance.
Innovations in Macroeconomics ; 1st ed.
Modern macroeconomics suffers from an unclear link between short-term Keynesian analysis and long-term growth modelling. Moreover, product and process innovations have been only partially integrated. The analysis suggests new approaches to innovations in open economies in many ways, including the Schumpeterian Mundell-Fleming model and new monetary growth models. A specific focus is on the role of innovations for output, employment and exchange rate developments. This book presents a new link between monetary analysis and growth modelling in open economies. Structural change, innovations and growth are considered from a new perspective. With respect to economic policy - in particular innovation policy - the analysis implies major changes, concerning both EU countries and other leading OECD economies.
Innovations in Machine Learning : Theory and Applications
Machine learning is currently one of the most rapidly growing areas of research in computer science. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. This book covers the three main learning systems; symbolic learning, neural networks and genetic algorithms as well as providing a tutorial on learning casual influences. Each of the nine chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Postgraduate since it shows the direction of current research.
Innovations in Intelligent Machines - 1
This book includes a collection of chapters on the state of art in the area of intelligent machines. This research would provide a sound basis to make autonomous systems human-like. The contributions include: An introduction to intelligent machines / Supervisory control of multiple UAVs / Intelligent autonomous UAV task allocation / UAV path planning / Dynamic path planning / Routing in UAVS State estimation of micro air vehicles / Architecture for soccer playing robots / Robot perception / Application engineers scientists and researchers will find this book useful.
Innovations in impact and blast protections : Foam-filled energy absorbers and steel-concrete-steel sandwich structures
Develops several novel foam-filled structures and steel-concrete-steel (SCS) sandwich structures, which provides more alternatives for ensuring the safety of buildings and infrastructures under extreme loading, like impact and blast.
Innovations in Hybrid Intelligent Systems
Hybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain. This carefully edited book provides a comprehensive overview of the recent advances in the hybrid intelligent systems and covers a wide range of application areas, including data analysis and data mining, intelligent control, pattern recognition, robotics, optimization, etc. The book is aimed at researchers, practitioners and postgraduate students who are engaged in developing and applying advanced intelligent systems principles to solving real-world problems.
Innovations in healthcare and outcome measurement : New approaches for a healthy lifestyle
Aims to bring up-to-date new ideas, opinions, development, and critical issues in healthcare and personalized medicine. We are interested in relevant articles covering a broad range of topics, such as: Advances in medical devices, Digitalization and data-driven technologies, AI and algorithm-based drug development (molecule building, enhancement, clinical trials), Diagnostic imaging, Personalized medicine, Nutrition, Oral health care, Healthcare management in certain diseases and population groups, Regulatory developments, Data management, Digital healthcare.
Innovations in fuzzy clustering : Theory and applications
There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern recognition and related applications. The following contents are included: Introduction to Fuzzy Clustering / Fuzzy Clustering based Principal Component Analysis / Fuzzy Clustering based Regression Analysis Kernel based Fuzzy Clustering / Evaluation of Fuzzy Clustering / Self-Organized Fuzzy Clustering
Innovations in classification, data science, and information systems ; Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003
The volume presents innovations in data analysis and classification and gives an overview of the state of the art in these scientific fields and applications. Areas that receive considerable attention in the book are discrimination and clustering, data analysis and statistics, as well as applications in marketing, finance, and medicine. The reader will find material on recent technical and methodological developments and a large number of applications demonstrating the usefulness of the newly developed techniques.
Innovations in Bayesian Networks : Theory and Applications
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field.
Innovations and the Environment
The book to provide a systematic review of the forces that drive technologies towards sustainable development, Innovations and the Environment discusses the possibilities for fostering renewable energy and environmental quality oriented innovations from the perspective of decision makers in policy and business.
Innovations and new developments in craniomaxillofacial reconstruction
Provides a comprehensive review of the new technologies that are having a tremendous impact on the complex field of craniomaxillofacial reconstructive surgery. The coverage encompasses the use of biomaterials and tissue engineering, virtual planning and CAD/CAM techniques, the various applications of computer-assisted surgery, and intraoperative navigation.
Innovations and advanced techniques in systems, computing sciences and software engineering
Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences.Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems.
Innovations and Advanced Techniques in Computer and Information Sciences and Engineering
Innovations and Advanced Techniques in Computer and Information Sciences and Engineering is a collection of world class paper articles addressing the following topics: Signal and Image Processing: Content Based Video Retrieval, Character Recognition, Incremental Learning for Speech Recognition, Signal Processing Theory and Methods, and Vision-based Monitoring Systems. Software and Systems: Activity-Based Software Estimation, Algorithms, Genetic Algorithms, Information Systems Security, Programming Languages, Software Protection Techniques, Software Protection Techniques, and User Interfaces. Distributed Processing: Asynchronous Message Passing System, Heterogeneous Software Environments, Mobile Ad Hoc Networks, Resource Allocation, and Sensor Networks. Advanced and innovative techniques in computing: e-Science and Virtual Instrumentation, Fault-Tolerant Scheduling, Grid Computing, Microcracking in Cortical Bones, Service-oriented Architectures, and Virtualization in Data Warehouses.
Innovation, Sustainability and Management in Motorsports: The Case of Formula E
This book provides novel insights on management innovation and sustainability in motorsport. Utilizing the all-electric racing championship called Formula E as case, it draws upon data from multiple sources such as sustainability reports of Formula and its stakeholders, media data, podcasts and newspaper articles, partner publications, and social media outputs
Innovation, Networks, and Knowledge Spillovers : Selected Essays
The volume is in three parts. The first part demonstrates that the processes of innovation and technological change are spatially differentiated, both regionally within countries and internationally between countries. The second part broadens, both conceptually and empirically, our understanding of the innovation process and the process of network formation, by examining the increasing importance of knowledge creation and diffusion in the new economy and how this is changing the nature of firms in crucial ways. Particular focus is laid on identifying the growing pressures for firms to develop more inter- and intrafirm networks and on providing lucid illustrations of these different kinds of networks. The third part discusses key issues related to the systems of innovation approach as a conceptual framework for regional innovation analysis and directs attention to enlightening conceptual and empirical work on the issue how knowledge spills over locally.
Innovation, Market Archetypes and Outcome : An Integrated Framework
The book examines an integrated innovation environment. Four market archetypes as well as the market outcome for each archetype are described. Innovation dynamics including commoditization, the constant innovation challenge and the sustainability of innovation are analyzed along with cases including the iPod, Lego, Barbie, the browser wars and Google. A diagnostic matrix is presented which enables one to take a ´snapshot´ of a product in the innovation environment. This book is an invaluable tool for the academic, the manager and the consultant to understand ‘where’ a firm is located in an innovation environment, `why’ it is so located and provides valuable clues as to ‘what’ to do when designing strategy.
Innovation, Industrial Dynamics and Structural Transformation : Schumpeterian Legacies
This book provides an account of work in the Schumpeterian and evolutionary tradition of industrial dynamics and the evolution of industries. It is shown that over time industries evolve and change their structure. In this dynamic process change is affected and sometimes constraint by many factors: knowledge and technologies, the capabilities and incentives of actors, new products and processes, and institutions. All these elements and their relations drive innovative activities and affect economic performance in an industry. Investigations into these complex phenomena show a deep interdependence between empirical work delivering a rich account of regularities and stylized facts in the structure of industries and their change, and theoretical analyses ranging from appreciate theorizing to formal modeling.
Innovation Project Management : Methods, Case Studies, and Tools for Managing Innovation Projects
Specific ideas discussed in Innovation Project Management include: Continuous versus discontinuous innovation, incremental versus radical innovation, understanding innovation differences, and incremental innovation versus new product development Identifying core competencies using SWOT analysis and nondisclosure agreements, secrecy agreements, and confidentiality agreements Implications and issues for project managers and innovation personnel, active listening, pitching the innovation, and cognitive biases Measuring intangible assets, customer/stakeholder impact on value metrics, customer value management programs, and the relationship between project management and value
Innovation Policy in a Knowledge-Based Economy : Theory and Practice
Why Analyze Innovation Policies From a Knowledge- Based Perspective? It is broadly accepted that we have moved (or are moving) to a knowled- based economy, characterized at least by two main features: that knowl edge is a major factor in economic growth, and innovation processes are systemic by nature. It is not surprising that this change in the economic paradigm requires new analytical foundations for innovation policies. One of the purposes of this book is to make suggestions as to what they should include. Underpinning all the chapters in this book is a conviction of the impor tance of dynamic and systemic approaches to innovation policy. Nelson and Arrow saw innovation and the creation of new knowl edge as the emergence and the diffusion of new information, characterized essentially as a public good. The more recent theoretical literature regarded the rationale for innovation policies as being to provide solutions to "mar ket failures". Today, however, knowledge is seen as multidimensional (tacit vs. codified) and open to interpretation. Acknowledging that the creation, coordination and diffusion of knowledge are dynamic and cumu lative processes, and that innovation processes result from the coordination of distributed knowledge, renders the "market failure" view of innovation policies obsolete. Innovation policies must be systemic and dynamic
