الصفحة 24
الصفحة 24
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Development of linguistic linked open data resources for collaborative data-Intensive research in the language sciences

This volume examines the challenges inherent in making diverse data in linguistics and the language sciences open, distributed, integrated, and accessible, thus fostering wide data sharing and collaboration. It is unique in integrating the perspectives of language researchers and technical LOD (linked open data) researchers. Reporting on both active research needs in the field of language acquisition and technical advances in the development of data interoperability, the book demonstrates the advantages of an international infrastructure for scholarship in the field of language sciences.

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Developing Statistical Software in Fortran 95

"This book gives statisticians, biostatisticians and methodologically-oriented researchers the tools they need to develop high-quality statistical software. This book is for those who want to learn how to create statistical applications quickly and effectively. Prior experience with a programming language such as Basic, Fortran or C is helpful but not required. More experienced programmers will learn new strategies to harness the power of modern Fortran and the object-oriented paradigm. This may serve as a supplementary text for a graduate course on statistical computing."

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Designing a programming education system for children to program and simulate robots

JuniorCoders is an innovative educational platform designed to introduce programming and robotics concepts to kids and beginners. It provides an easy-to-use visual programming interface that allows users to create Arduino programs by dragging and dropping blocks of code. The system aims to make programming accessible and shareable, allowing them to create complex programs without having to learn a traditional programming language. Enables users to program and simulate robots using Arduino boards.

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Design Science and Its Importance in the German Mathematics Educational Discussion

This ICME-13 Topical Survey reviews the state-of-the-art by first exploring the roots and scope of design science. Second, it presents two examples of current design science projects that focus on substantial learning environments including a student and a teacher perspective. Subsequently, the book elaborates on how empirical research can be conceptualised within design science. Lastly, it explores developments in design science from a national and international perspective, while also discussing current trends in design research. Within the German-language tradition, considering ‘mathematics education as a design science’ primarily draws on the works of Wittmann.

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Design Patterns for eScience

There is much additional software including many versions of the case study as it gets built up and progressively refactored using design patterns. There will be a home web-site for this book which will contain up-to-date information about the software and other aspects of the case study.

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Design and Spirituality : A Philosophy of Material Cultures

A wide range of topics are covered, including material culture and spiritual teachings; sustainability and the spiritual perspective; traditional and indigenous knowledge; technology and spirituality; notions of meaningful design; and how particular material things can have deeper, symbolic significance. There are also reflections on areas such as the language of design; busyness and its relationship to wisdom; design and social disparity; and traditional sacred practices. While not avoiding issues that are controversial, and sometimes hard-hitting, Design and Spirituality gets to the heart of the key issues affecting us today and presents them in a highly readable and accessible format.

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Depression in latinos : Assessment, treatment, and prevention

In this concise yet comprehensive volume, leading clinicians, researchers, and academics offer extensive research and clinical findings, literature reviews (e.g., an in-depth chapter on the Mexican American Prevalence and Services Survey), and insights gathered from first-hand experience in clinical practice. Perceptive information is offered on the most urgent and complex issues on depression in this diverse and dynamic population

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Deployment and operation of complex software in heterogeneous execution environments : The SODALITE approach

This book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.

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Dependable Systems : Software, Computing, Networks : Research Results of the DICS Program

The present volume documents the results of a research program on Dependable Information and Communication Systems (DICS). The members of the project met in two workshops organized by the Hasler Foundation. This state-of-the-art survey contains 3 overview articles identifying major issues of dependability and presenting the latest solutions, as well as 10 carefully selected and revised papers depicting the research results originating from those workshops. The first workshop took place in Münchenwiler, Switzerland, in March 2004, and the second workshop, which marked the conclusion of the projects, in Löwenberg, Switzerland, in October 2005. The papers are organized in topical sections on surveys, dependable software, dependable computing, and dependable networks.

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Dependable software engineering : Theories, tools, and applications ; 6th International Symposium, SETTA 2020, Guangzhou, China, November 24–27, 2020, Proceedings

This book constitutes the proceedings of the 6th International Symposium on Dependable Software Engineering, SETTA 2020, held in Guangzhou, China, in November 2020. The 10 full and 1 short paper included in this volume were carefully reviewed and selected from 20 submissions. They deal with latest research results and ideas on bridging the gap between formal methods and software engineering.

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Deontic Logic in Computer Science ; 9th International Conference, DEON 2008, Luxembourg, Luxembourg, July 15-18, 2008. Proceedings

This volume presents the refereed proceedings of the 9th International Conference on Deontic Logic in Computer Science, DEON 2008, held in Luxembourg in July 2008.

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Dental statistics made easy ; 3rd ed.

Presents the basics of dental statistics in an accessible way, combining explanation in non-technical language with key messages, practical examples, suggestions for further reading and exercises complete with detailed solutions. There is an emphasis on the principles and application of statistics without the use of algebra.

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Dental fear and anxiety in pediatric patients: Practical strategies to help children cope

A comprehensive guide to pediatric dental fear/anxiety (DFA) and phobia that will provide practitioners with a full understanding of the etiology, prevalence, assessment, and management of these conditions. The coping styles of children when under stress are explored, with discussion of their relevance to the assessment visit and treatment allocation. Practical treatment techniques are comprehensively covered, from non-pharmacological behavioral strategies relevant for children with no or mild DFA to those approaches more appropriate for children with severe DFA/phobia. The importance of the use of language and communication skills to build rapport and allay anxiety is explored. Relaxation and hypnosis techniques are described, with guidance on how to introduce these to patients and their parents/carers. Techniques that help children cope when receiving injections are detailed, including systematic needle desensitization

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Demystifying Academic Writing : Genres, Moves, Skills, and Strategies

Informative, insightful, and accessible, this book is designed to enhance the capacity of graduate and undergraduate students, as well as early career scholars, to write for academic purposes. Fang describes key genres of academic writing, common rhetorical moves associated with each genre, essential skills needed to write the genres, and linguistic resources and strategies that are functional and effective for performing these moves and skills.

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Deepfake detection

The rise of large language models (LLMs) and the increasing sophistication of deepfake images have made detecting synthetic content a pressing challenge. Several approaches have been proposed to tackle this problem, including statistical analysis, and machine learning algorithms. In this project, A novel zero-shot approach is proposed that utilizes the power of LLMs to detect fake text. The pre-trained LLM is fine-tuned to enhance its ability to differentiate real and fake text. The approach uses the LLM to detect text by analyzing the log probabilities of the text. For detecting fake images, computer vision algorithms and neural networks are used to analyze facial features. The facial region is cropped and preprocessed and the neural network identifies patterns indicative of synthetic content.

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Deep Learning with PyTorch Lightning : Build and train high-performance artificial intelligence and self-supervised models using Python

You’ll learn how to configure PyTorch Lightning on a cloud platform, understand the architectural components, and explore how they are configured to build various industry solutions. You’ll build a neural network architecture, deploy an application from scratch, and see how you can expand it based on your specific needs, beyond what the framework can provide. In the later chapters, you’ll also learn how to implement capabilities to build and train various models like Convolutional Neural Nets (CNN), Natural Language Processing (NLP), Time Series, Self-Supervised Learning, Semi-Supervised Learning, Generative Adversarial Network (GAN) using PyTorch Lightning.

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Deep learning architecture and application

As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market).

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Deep learning approach for text summarization

Machine learning and deep learning, as we know, have started ruling over almost every field in the computing industry and so, has revolutionized the process of text summarization too. Automatic text summarization is an advancing realm of the natural language processing research in which concise textual summaries are generated from lengthy input documents. Extensive research has been carried out on how automatic summarization can be prosecuted through various extractive and abstractive techniques. In this paper, we address all the approaches to text summarization and present the modus operandi of an Architecture called Encoder Decoder, under the machine learning approach.

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Declarative programming for knowledge management ; 16th International conference on applications of declarative programming and knowledge management, INAP 2005, Fukuoka, Japan, October 22-24, 2005. Revised Selected Papers

Presents a selection of papers presented at the 16th Inter- tional Conference on Applications of Declarative Programming and Knowledge Management, INAP 2005,held in October 2005 at Waseda University, Fukuoka, Japan. These papers re?ect a snapshot of ongoing research and current app- cations in knowledge management and declarative programming.

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Declarative agent languages and technologiesV ; 5th International Workshop, DALT 2007, Honolulu, HI, USA, May 14, 2007, Revised Selected and Invited Papers

This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Declarative Agent Languages and Technologies, DALT 2007, held in Honolulu, USA, in 2007.

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