الصفحة 13
الصفحة 13
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Integrated Assessment of Water Resources and Global Change : A North-South Analysis

The key papers in this volume from the Bonn conference focus on the challenges of integrated assessment of water resources in the context of global change. The growing gap between North and South is also addressed, in terms not only of access to water and its quality, but also of the capacity to do research and implement solutions. The coverage of the papers is up-to-date and comprehensive. Highlights include emerging concepts such as blue and green water, virtual water, the water footprints of nations, multi-agent modelling, linkages between water and biodiversity, and social learning and adaptive management.

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Instrumaster

Experiments with different neural network structures and algorithms in order to achieve musical note recognition as well as musical instrument recognition, all bundled in a mobile application. It also aims to create the most effective music-learning application that works completely offline, which is hard to find in modern music applications. The paper also explores why the instrument identifying AI is solely based on Multi-Layer Perceptron (MLP) and why the note-identifying AI system was chosen to be a ML system over CNN or other deep-learning trained AI. The paper presents feature extraction methods for audio signals and files and dives deep into the process, such as FFT, MFCCs, Wavelengths, sampling rates, etc. It also touches on Logistic Regression Algorithms, their limitations, and their performance with the different use cases in the application. All these techniques are then compared side by side for maximally added value, making this research paper a good reference for any future developers looking to find optimal neural networks techniques when it comes to audio processing and analysis.

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Instructional Scaffolding in STEM Education : Strategies and Efficacy Evidence

This book uses meta-analysis to synthesize research on scaffolding and scaffolding-related interventions in STEM (science, technology, engineering, and mathematics) education. Specifically, the volume examines the extent to which study quality, assessment type, and scaffolding characteristics (strategy, intended outcome, fading schedule, scaffolding intervention, and paired intervention) influence cognitive student outcomes. It includes detailed descriptions of the theoretical foundations of scaffolding, scaffolding strategies that have been proposed to meet different intended learning outcomes in STEM, and associated efficacy information. Furthermore, the book describes assessment strategies and study designs which can be used to evaluate the influence of scaffolding, and suggests new fields in which scaffolding strategies that have proven efficacious may be used.

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Inside deep learning : Math, algorithms, models

Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning with PyTorch Select the right deep learning components Train and evaluate a deep learning model Fine tune deep learning models to maximize performance Understand deep learning terminology Adapt existing PyTorch code to solve new problems Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped--you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English.

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Inquiry-Based Learning – Undergraduate Research : The German Multidisciplinary Experience

This book provides a systematic overview of experiences with Inquiry-Based Learning (IBL) and undergraduate research (UR) in German universities, covering both research universities (Universitäten) and universities of applied sciences (Fachhochschulen). Divided into three parts, the book starts with the principles and common practices of IBL/UR at all universities. Part Two discusses the implementation of IBL/UR for twenty-one individual disciplines, ranging from architecture to theology. Part Three discusses the potential of IBL/UR in relation to several topics including diversity, digitalisation, different forms of universities, and the national job market. The book summarises the project of the German network of UR,

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Innovative techniques in instruction technology, e-learning, e-assessment, and education

Innovative Techniques in Instruction Technology, E-Learning, E-Assessment and Education is a collection of world-class paper articles addressing the following topics:E-Learning including development of courses and systems for technical and liberal studies programs; online laboratories; intelligent testing using fuzzy logic; evaluation of on line courses in comparison to traditional courses; mediation in virtual environments; and methods for speaker verification.

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Innovative Learning Environments in STEM Higher Education : Opportunities, Challenges, and Looking Forward

As explored in this book, higher education in STEM fields is influenced by many factors, including education research, government and school policies, financial considerations, technology limitations, and acceptance of innovations by faculty and students.

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Innovative Concepts for Autonomic and Agent-Based Systems ; 2nd International Workshop on Radical Agent Concepts, WRAC 2005, Greenbelt, MD, USA, September 20-22, 2005, Revised Papers

This volume includes revised versions of papers presented at the workshop. The workshop was structured so as to allow adequate time for discussion and interaction, to exchange ideas and reflect on the motivations, scientific grounds and practical consequences of the concepts presented. Many of the ideas are truly “radical”, and so authors were given time to revise their papers to reflect further thoughts on the ideas presented and to reflect feedback received at the workshop. We are grateful to Jeff Kephart for a very interesting keynote speech describing IBM’s current and future work in this field, which fit very well with the aims and scope of the workshop.

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Innovative approaches for learning and knowledge sharing ; 1st European Conference on Technology Enhanced Learning, EC-TEL 2006, Crete, Greece, October 1-4, 2006, Proceedings

This book constitutes the refereed proceedings of the First European Conference on Technology Enhanced Learning, EiTEL 2006, held in Crete, Greece in October 2006. The 32 revised full papers, 13 revised short papers and 31 poster papers presented together with 2 keynote talks were carefully reviewed and selected from 192 submissions. The conference provides a unique forum for all research related to technology-enhanced learning, as well as its interactions with knowledge management, business processes and work environments. Topics addressed are collaborative learning, personalized learning, multimedia content, semantic web, metadata and learning, workplace learning, learning repositories and infrastructures for learning, as well as experience reports, assesment, and case studies.

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Innovations in rehabilitation sciences education : Preparing Leaders for the future

We are most fortunate to be housed in an institution that embraces risk taking and innovation in education. Part of the joy of working at McMaster University is the sense that you will be supported in your efforts to develop new ways of facilitating learning even if these are not always successful. We are privileged to work with a group of exceptional colleagues who embrace - novation and strive for ongoing excellence in education.

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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.

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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.

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Innovations in E-learning, Instruction Technology, Assessment and Engineering Education

Innovations in E-learning, Instruction Technology, Assessment and Engineering Education is a collection of world class paper articles addressing the following topics: E-Learning including development of courses and systems for technical and liberal studies programs; online laboratories; intelligent testing using fuzzy logic; evaluation of on line courses in comparison to traditional courses; mediation in virtual environments; and methods for speaker verification. Instruction Technology including internet textbooks; pedagogy-oriented markup languages; graphic design possibilities; open source classroom management software; automatic email response systems; tablet-pcs; personalization using web mining technology; intelligent digital chalkboards; virtual room concepts for cooperative scientific work; and network technologies, management, and architecture.

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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.

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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.

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Innovations in Applied Artificial Intelligence ; 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005, Proceedings

The contributions oriented to the technological aspects of AI and the quality of the papers are witness to a research activity clearly aimed at consolidating the theoretical results that have already been achieved. The c- ference program also included two invited lectures, by Katharina Morik and Roberto Pieraccini. Many people contributed in different ways to the success of the conference and to this volume. The authors who continue to show their enthusiastic interest in applied intelligence research are a very important part of our success. We highly appreciate the contribution of the members of the Program Committee, as well as others who reviewed all the submitted papers with eficiency and dedication.

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Innovations for requirement analysis : From stakeholders needs to formal designs ; 14th Monterey Workshop 2007, Monterey, CA, USA, September 10-13, 2007. Revised Selected Papers

This book presents the thoroughly refereed and revised proceedings of the 14th Monterey workshop, held in Monterey, CA, USA, September 10-13, 2007. The theme of the workshop was Innovations for Requirement Analysis: From Stakeholders' Needs to Formal Designs.The 10 revised full papers included in the book were carefully selected during two rounds of reviewing and revision. These are preceded by the abstracts of the three keynote talks as well as a detailed introduction to the theme of the workshop, including a case study used by many participants to frame their analyses, and a summary of the workshop's results.

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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.

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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

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Innovation Cell : Agile Teams to Master Disruptive Innovation

This book gives you a picture of disruptive innovation and how to master it. Special attention is given to the management task in innovation, the development of the mindset for innovation and setting up of the conditions for self organisation.

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