The Future of Heritage Science and Technologies: ICT and Digital Heritage, Furferi
Автор: Cameron, Fiona R. Название: The Future of Digital Data, Heritage and Curation ISBN: 0367711648 ISBN-13(EAN): 9780367711641 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Нет в наличии.
Автор: Cameron, Fiona R. Название: Future of digital data, heritage and curation ISBN: 0367690586 ISBN-13(EAN): 9780367690588 Издательство: Taylor&Francis Рейтинг: Цена: 5970.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Future of Digital Data, Heritage and Curation critiques digital cultural heritage concepts, their application to data and develops new theories, curatorial practices and a more-than human museology for a contemporary and future world.
Автор: Patricia Martin-Rodilla Название: Digging into Software Knowledge Generation in Cultural Heritage ISBN: 3319887262 ISBN-13(EAN): 9783319887265 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data setsThe book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information— a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure.Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process. The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process.
Автор: Patricia Martin-Rodilla Название: Digging into Software Knowledge Generation in Cultural Heritage ISBN: 3319691872 ISBN-13(EAN): 9783319691879 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data setsThe book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting.
Автор: Sousa, Maria Jos? Название: Future Health Scenarios ISBN: 1032131497 ISBN-13(EAN): 9781032131498 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.
Novel strategies for data-driven evolutionary optimization
Machine learning using distance-based methods
Counting cells and predicting immunoscore using gradient boosted convolutional neural networks
Kubelka-Munk model and stochastic model comparison in skin physical parameter retrieval using neural networks
A combined approach of neural networks and graphical models in skin cancer inference using spectral imaging
Using wave propagation simulations and convolutional neural networks to retrieve thin coating's thickness from hyperspectral images
Predicting future overweight and obesity from childhood growth data: A case study
Variable selection under a value acquisition budget
Stochastic approximation by successive piecewise linearization
Non-convex robust low-rank matrix recovery
Neural network learning via successive piecewise linearization
Learning for scientific computing purposes
Computational intelligence in design of new nanomaterials
Modeling flow, reactive transport and geomechanics in porous media
Physics constrained machine learning for industrial applications
Parameter and type identification in partial differential equations using deep neural networks
Stability maximization for layered moving web with total mass constraint
Similarity solutions for condensation on a non-isothermal vertical plate
Enhanced topology optimization approach using moving morphable components coupled with NURBS curves
Combined model order reduction and artificial neural network for data assimilation and damage detection in structures
Towards the optimization of fuzzy pattern trees by abs - linearization
Support vector machines in clusterwise linear regression
A Second-order method with enriched hessian information for composite sparse optimization problems
Missing value imputation via nonsmooth optimization and clusterwise linear regression
Parsimonious neural networks
Nobody can stop advancing artificial intelligence (AI) where developing
Computational sciences, physics field theories and geometry
Mini-symposium on ethics in AI
Essentializing software engineering practices for ethically designing and developing artificial intelligence systems 30 Ethics is important, but how can we implement it? Survey on software developers' views on AI ethics
Industrial IoT capabilities in reducing the LCOE of offshore wind energy: A review
High-Performance data analysis with the Helmholtz Analytics Toolkit (HeAT)
Dynamic data-driven application systems based on tensor factorization: learning the physics of model evolution
Predicting customer experience
Puhti-AI: Finland's new AI supercomputer
Using Artificial Intelligence to Classify Textual Applications for Reporting Purposes Application of machine learning methods to error control of approximate solutions
Iterative data selection strategy in offline data-driven evolutionary multiobjective optimization
On surrogate management in interactive multiobjective building energy system design
A modified deep neural network for the rapid inversion of geo-physical resistivity measurements
Using agents for automatic meta-modelling algorithm selection in data-driven multiobjective optimization problems
Future cooperation between Computational Science and AI in Industrial and Societal Applications - challenges, impact and expectations?
Описание: This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.
Описание: The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.
Автор: Macdonald Название: Hybrid Practices in Moving Image Design ISBN: 3319413740 ISBN-13(EAN): 9783319413747 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book, written from the perspective of a designer and educator, brings to the attention of media historians, fellow practitioners and students the innovative practices of leading moving image designers. Moving image design, whether viewed as television and movie title sequences, movie visual effects, animating infographics, branding and advertising, or as an art form, is being increasingly recognised as an important dynamic part of contemporary culture. For many practitioners this has been long overdue. Central to these designers' practice is the hybridisation of digital and heritage methods.
Macdonald uses interviews with world-leading motion graphic designers, moving image artists and Oscar nominated visual effects supervisors to examine the hybrid moving image, which re-invigorates both heritage practices and the handmade and analogue crafts. Now is the time to ensure that heritage skills do not atrophy, but that their qualities and provenance are understood as potent components with digital practices in new hybrids.
Автор: Ch`ng Название: Visual Heritage: Digital Approaches in Heritage Science ISBN: 3030770303 ISBN-13(EAN): 9783030770303 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: How we understand our shared and individual heritage, interpret and disseminate that knowledge is increasingly central to contemporary society. The emerging context for such development is the field of heritage science. Inherently interdisciplinary, and involving both the Arts and Humanities, engineering, conservation and the digital sciences, the development of heritage science is a driver for change; socially, economically and technically. This book has gathered contributions from leading researchers from across the world and provides a series of themed contributions demonstrating the theoretical, ethical, methodological and technical methods which lie at the heart of heritage science. Archaeology, conservation, museology, the arts, forensic sciences, and heritage management are represented through collaborative research with specialists in applied technologies including object and terrestrial laser scanning, multi-spectral imaging, visualisation, GIS and 3D-printing. Together, the chapters present important case studies to demonstrate the recent advances and best practise within the discipline, highlighting the value of digital transformation across the heritage community that includes objects, monuments, sites and landscapes spanning two million years of natural and cultural history from all over the world. Visual Heritage: Digital Approaches in Heritage Science is aimed at a broad academic and practice-led readership, which extends across many disciplines and will be of considerable value to scholars, practitioners, and students working within heritage and computer science at all levels. The content, which applies heritage science across two million years of cultural history will be appreciated by a general audience, as well as those wishing simply to explore the vast range of potential technical applications across all the disciplines represented in the book.
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