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This volume to be published in August 2014 reflects and celebrates the life of Karin Groen (1941-2013) and her work in the scientific examination of paintings. It contains a selection of her ground breaking articles published in this field over the past decades, and will continue to be a source of inspiration for a new generation of scientists, restorer-conservators and art historians. She was particularly involved in the Rembrandt Research Project, systematically examining Rembrandt's paintings and the knowledge she gleaned of the composition and build-up of (quartz) ground layers provided useful additional information for the attribution of paintings to Rembrandt and his workshop. Her methods, in which paintings are examined in close collaboration between the scientist and the restorer-conservator, always focussed on the question 'How did the artist do it?'. This book includes studies not only on paintings by Rembrandt but also on those painted by Frans Hals, Judith Leyster and Johannes Vermeer as well as studies of changes in painter’s materials, such as the pigments in Dutch still-life paintings, and in works by Lucas Van Leyden, Claude Lorrain and others.

Conservation. Restoration --- Painting --- Leyster, Judith --- Vermeer, Johannes --- Hals, Frans --- Art --- Histoire --- Technique --- Conservation et restauration --- Histoire. --- Technique. --- Conservation et restauration.

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Computational complexity --- Computational complexity. --- Computer science --- Complexity, Computational --- Electronic data processing --- Machine theory

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The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, held in London, UK, in June 2022. The total of 175 full papers and 78 short papers presented in this book set were carefully reviewed and selected from 474 submissions. 169 full and 36 short papers were accepted to the main track; 120 full and 42 short papers were accepted to the workshops/ thematic tracks. *The conference was held in a hybrid format. Chapter “GPU Accelerated Modelling and Forecasting for Large Time Series” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Computer science. --- Artificial intelligence. --- Computer engineering. --- Computer networks. --- Computer science—Mathematics. --- Image processing—Digital techniques. --- Computer vision. --- Theory of Computation. --- Artificial Intelligence. --- Computer Engineering and Networks. --- Mathematics of Computing. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Computers --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Distributed processing --- Design and construction --- Computer science --- Mathematics. --- Digital techniques. --- Digital image processing --- Digital electronics --- Computer mathematics --- Mathematics

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GEOLOGIE REGIONALE --- EUROPE DU SUD --- ESPAGNE

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