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Called the functioning and capability approach (FCA), this framework radically departs from the conventional approach to the concept of individual well-being in welfare economics insofar as it identifies an individual's well-being as the value attached to the individual's achievements along certain dimensions of life and her freedom to choose a vector of such achievements rather than as the individual's happiness or desire fulfillment. ![]() Free Download MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I by Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen English | PDF | 2023 | 719 Pages | ISBN : 3031270762 | 98 MB The two-volume set LNCS 13833 and LNCS 13834 constitutes the proceedings of the 29th International Conference on MultiMedia Modeling, MMM 2023, which took place in Bergen, Norway, during January 9-12, 2023. ![]() Free Download MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech Republic, June 22-24, 2021, Proceedings, Part II by Jakub Lokoč English | PDF | 2021 | 524 Pages | ISBN : 3030678342 | 103.3 MB The two-volume set LNCS 12572 and 1273 constitutes the thoroughly refereed proceedings of the 27th International Conference on MultiMedia Modeling, MMM 2021, held in Prague, Czech Republic, in June2021. ![]() Free Download Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications by Igor N. Aizenberg , Naum N. Aizenberg , Joos Vandewalle English | PDF (True) | 2000 | 274 Pages | ISBN : 0792378245 | 27.3 MB Multi-Valued and Universal Binary Neurons deals with two new types of neurons: multi-valued neurons and universal binary neurons. These neurons are based on complex number arithmetic and are hence much more powerful than the typical neurons used in artificial neural networks. Therefore, networks with such neurons exhibit a broad functionality. They can not only realise threshold input/output maps but can also implement any arbitrary Boolean function. Two learning methods are presented whereby these networks can be trained easily. The broad applicability of these networks is proven by several case studies in different fields of application: image processing, edge detection, image enhancement, super resolution, pattern recognition, face recognition, and prediction. The book is hence partitioned into three almost equally sized parts: a mathematical study of the unique features of these new neurons, learning of networks of such neurons, and application of such neural networks. Most of this work was developed by the first two authors over a period of more than 10 years and was only available in the Russian literature. With this book we present the first comprehensive treatment of this important class of neural networks in the open Western literature. ![]() Free Download Multi-Hazard Early Warning and Disaster Risks by Dilanthi Amaratunga English | EPUB | 2021 | 914 Pages | ISBN : 3030730026 | 137.7 MB This book presents a collection of papers under the theme of multi-hazard early warning and disaster risks. These were selected from the presentations made at the International Symposium on Tsunami and Multi-Hazard Risks, Early Warning and Community Awareness in supporting implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030. 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