Page 28
Page 28
Diagrammatic Representation and Inference ; 5th International Conference, Diagrams 2008, Herrsching, Germany, September 19-21, 2008. Proceedings
This book constitutes the refereed proceedings of the 5th International Conference on Theory and Application of Diagrams, Diagrams 2008, held in Herrsching, Germany, in September 2008.
Diagrammatic representation and inference ; 4th International conference, Diagrams 2006, Stanford, CA, USA, June 28-30, 2006, Proceedings
Proceedings of the 4th International Conference on Theory and Application of Diagrams, Stanford, CA, USA in June 2006. 13 revised full papers, 9 revised short papers, and 12 extended abstracts are presented together with 2 keynote papers and 2 tutorial papers. The papers are organized in topical sections on diagram comprehension by humans and machines, notations: history, design and formalization, diagrams and education, reasoning with diagrams by humans and machines, and psychological issues in comprehension, production and communication.
Diagrammatic Representation and Inference ; 11th International Conference, Diagrams 2020, Tallinn, Estonia, August 24–28, 2020, Proceedings
This book constitutes the refereed proceedings of the 11th International Conference on the Theory and Application of Diagrams, Diagrams 2020, held in Tallinn, Estonia, in August 2020.* The 20 full papers and 16 short papers presented together with 18 posters were carefully reviewed and selected from 82 submissions. The papers are organized in the following topical sections: diagrams in mathematics; diagram design, principles, and classification; reasoning with diagrams; Euler and Venn diagrams; empirical studies and cognition; logic and diagrams; and posters.
Diagnostica per immagini dellapparato urogenitale = Imaging of the urogenital system
The work is divided into nine parts and deals with normal macroscopic and radiological anatomy in the first six chapters, to then consider the individual malformative, lithiasic, inflammatory and neoplastic pathologies.
Diagnostic Nuclear Medicine
The present text, supplemented with many detailed and informative illustrations, represents an adjunct to the standard knowledge of diagnostic nuclear medicine and provides both the student and the professional with an overview of developments during the past decade.
Determinantal Ideals
Determinantal ideals are ideals generated by minors of a homogeneous polynomial matrix. Some classical ideals that can be generated in this way are the ideal of the Veronese varieties, of the Segre varieties, and of the rational normal scrolls. Determinantal ideals are a central topic in both commutative algebra and algebraic geometry, and they also have numerous connections with invariant theory, representation theory, and combinatorics. Due to their important role, their study has attracted many researchers and has received considerable attention in the literature. In this book three crucial problems are addressed: CI-liaison class and G-liaison class of standard determinantal ideals; the multiplicity conjecture for standard determinantal ideals; and unobstructedness and dimension of families of standard determinantal ideals.
Designing green landscapes
This book presents the latest thinking in adaptive management for forest ecosystems. Based on the ‘multiple path’ principle, this approach links species choice and silvicultural methods with changing demands and changing environmental conditions, to ensure continuous adaptation, often several times within the lifetime of a tree. The ‘multiple path’ principle at the core of this approach represents a robust theoretical framework for designing forested landscapes. It provides a logical basis both for coordinating spatial objectives and for integrating varied forms of expertise; it limits planning horizons to realistic timeframes; and it allows for forecasts based on current real attributes of spatially explicit land parcels. This is in stark contrast with traditional forestry practices which simply assess the forest resource at regular time intervals and prescribe standard management schedules for specific forest types.
Designing Digital Work : Concepts and Methods for Human-centered Digitization
This book could well be the most comprehensive collection to date of integrated ideas on the elicitation, representation, integration and digitization of work processes and collaboration. The authors take a heavily human-centered approach while never losing sight of engineering aspects involved. Rooted in relevant theories, they present a set of practice-oriented tools and methods that will help bring work and work support into the hyper connected, data-driven era we are now entering.
Designing Accessible Technology
This book was stimulated by the third CWUAAT workshop, held in Cambridge, England in April 2006; the contributors representing leading researchers in the fields of Inclusive Design, Rehabilitation Robotics, Universal Access and Assistive Technology. Contributions focus on the following topics: design issues for a more inclusive world / enabling computer access and the development of new technologies / assistive technology and rehabilitation robotics and understanding users and involving them in design.
Designers' guide to EN1991-1-2, EN1992-1-2, EN1993-1-2 and EN1994-1-2 : Handbook for the fire design of steel, composite and concrete structures to the Eurocodes
The nature of the loading must first be understood before applying the structural engineering principles set out in the Eurocodes. For this reason this book is meant as a guide to four separate documents, EN1991 Part 1.2, EN1992 Part 1.2, EN1993 Part 1.2 and EN1994 Part 1.2 with reference where appropriate to the Eurocode covering the basis of design, EC06.
Designed for Digital : How to Architect Your Business for Sustained Success
Designed for Digital offers practical advice on digital transformation, with examples that include Amazon, BNY Mellon, DBS Bank, LEGO, Philips, Schneider Electric, USAA, and many other global organizations. Drawing on five years of research and in-depth case studies, the book is an essential guide for companies that want to disrupt rather than be disrupted in the new digital landscape.
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
Depression around us
Depression is a serious medical illness. It's more than just feeling of being sad or "blue" for a few days. If you are one the more 19 million teens and adults in the United States who have depression, the feelings do not go away. They persist and interfere with your everyday life. Depression is a disorder of the brain. There with your everyday life. Depression is a disorder of the brain. There are a variety of causes, including genetic, biological, environmental, and psychological factors. Depression can happen at any age, but it often begins in teens and young adults. It is much more common in women. Women can also get postpartum depression after the birth of a baby. Some people get seasonal affective disorder in the winter.
Depression and globalization : The politics of mental health in the 21st century
In Depression and Globalization, Carl Walker analyzes the human cost of recent political and economic events as main contributors to the rise of depression, particularly in the U.S. and Britain.
Democratization of Expertise? : Exploring Novel Forms of Scientific Advice in Political Decision-Making
Scientific knowledge and the ‘experts’ that represent it no longer command the unquestioned authority and public trust that was once bestowed upon them, and yet, policy makers are more dependent on them than ever before. This collection of essays explores the relations between science and politics with the instruments of social studies of science, thereby providing new insights into their re-alignment under a new régime of governance.
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.
Deepfake
The technology used to create such digital content has quickly become accessible to the masses, such as “DEEPFAKE.” Deep fakes refer to manipulated videos, or other digital representations produced by sophisticated artificial intelligence, that yields to synthesize a sequence of face images and voices of characters corresponding to their identities, such as voice tone, facial expression, with a good lip synchronization. Therefore, this study is about developing real-time video generation software, which generates a target video from a single input image. Several methods and algorithms have been applied to detect, analyze personalize facial expression, voice and natural head poses to present a life-like image instead of a low quality one.
Deep structure, singularities, and computer vision ; 1st international workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, revised selected papers
Constitutes the refereed post-proceedings of the First International Workshop on Deep Structure, Singularities, and Computer Vision, DSSCV 2005, held in Maastricht. This book represents in understanding the relation between structural, topological information represented by singularities and metric information of signals, shapes, and colors.
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).
Deep learning and computer vision in remote sensing-II
Computer vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing. Papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems, have been published. With practical examples and real-world case studies, this reprint provides a valuable resource for researchers, professionals, and students seeking to harness the power of deep learning in the field of remote sensing.
