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Advances in Intelligent Data Analysis
This book constitutes the refereed proceedings of the 4th International Conference on Intelligent Data Analysis, IDA 2001, held in Cascais, Portugal, in September 2001.The 37 revised full papers presented were carefully reviewed and selected from a total of almost 150 submissions. All current aspects of this interdisciplinary field are addressed; the areas covered include statistics, artificial intelligence, neural networks, machine learning, data mining, and interactive dynamic data visualization.
Football and Fascism
Football and Fascism. The Politics of Popular Culture in Portugal tells the hidden history of football and discusses its political, social and cultural foundations, during the longest running authoritarian regime in Europe. Theoretically grounded on Bourdieu’s field theory, and using a multi-scalar methodology, this award-winning research explores the political tensions between the nationalization of sports envisaged by the Portuguese “New State” and the integration of national football in a globalized urban popular culture. Mobilizing unexplored archival sources, and a wide array of primary materials, this groundbreaking work offers new insight on the administrative structures of the ...
From Life Molecules to Global Health
Health care demands more and more cooperation and the convergence of all health related sciences, from Life Molecules to Global Health, as was most recently shown by the challenge of the COVID pandemic. This book brings together science contributions from NOVA’s researchers on biology and health, in the format of a broad life construct book.
Cimboa
Revista caboverdiana de letras, artes e estudos = a journal of letters, arts and studies.
Information Systems and Technologies
This book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications. This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences, and challenges of modern information systems and technologies research, together with their technological development and applications.
Art and Identity at the Water's Edge
The water's edge, whether shore or riverbank, is a marginal territory that becomes invested with layers of meaning. The essays in this collection present intriguing perspectives on how the water's edge has been imagined and represented in different places at various times and how this process contributed to the formation of social identities. Art and Identity at the Water's Edge focuses upon national coastlines and maritime heritage; on rivers and seashore as regions of liminality and sites of conflicting identities; and on the edge as a tourist setting. Such themes are related to diverse forms of art, including painting, architecture, maps, photography, and film. Topics range from the South...
Managing and Implementing the Digital Transformation
This book shows how companies can practically implement the advantages of Industry 4.0 and digitalization and also addresses the current challenges with regard to engineering education for Industry 4.0. In this book, we collect the contributions of the 1st Symposium on Industrial Engineering and Automation (ISIEA 2022), which took place from June 21–22, 2022 at the Free University of Bolzano. The contributions cover three basic areas: (1) best practice examples and technical solutions for the implementation of Industry 4.0 in production and logistics, (2) management-oriented approaches for the digital transformation in companies, and (3) addressing Industry 4.0 in engineering education. The book targets different readers. Researchers find approaches to current research topics regarding Industry 4.0. Practitioners find valuable examples for technological implementations as well as management approaches for introducing digitalization. Students and lecturers find hints on how Industry 4.0 can be integrated into university teaching.
Computer Aided Verification
This open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical sections: Part I: automata and timed systems; security and hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks; verification and invariants; and concurrency.
Machine Learning and Knowledge Discovery in Databases
The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.
