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1. |
Record Nr. |
UNINA9910299418103321 |
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Autore |
Dasgupta Nandita |
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Titolo |
An Introduction to Food Grade Nanoemulsions / / by Nandita Dasgupta, Shivendu Ranjan |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XXII, 182 p. 21 illus., 19 illus. in color.) |
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Collana |
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Environmental Chemistry for a Sustainable World, , 2213-7114 ; ; 13 |
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Disciplina |
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Soggetti |
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Bioinformatics |
Biology—Technique |
Microbiology |
Botanical chemistry |
Biological Techniques |
Food Microbiology |
Plant Biochemistry |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Sommario/riassunto |
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This book provides authentic and comprehensive information on the concepts, methods, functional details and applications of nano-emulsions. Following an introduction to the applications of nanotechnology in the development of foods, it elaborates on food-grade nano-emulsion and their significance, discusses various techniques and methods for producing food-grade nano-emulsion, and reviews the main ingredient and component of food-grade nano-emulsions. Further, the book includes a critical review of the engineering aspect of fabricating food-grade nano-emulsions and describe recently developed vitamin encapsulated nano-systems. In closing, it discuss the challenges and opportunities of characterizing nano-emulsified systems, the market risks and opportunities of nano-emulsified foods, and packaging techniques and safety issues – including risk identification and risk management – for nano-foods. The book offers a unique guide for scientists and researchers working in this field. It will also help researchers, policymakers, industry |
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personnel, journalists and the general public to understand food nanotechnology in great detail. |
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2. |
Record Nr. |
UNINA9910153302403321 |
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Autore |
Oliva Diego |
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Titolo |
Advances and Applications of Optimised Algorithms in Image Processing / / by Diego Oliva, Erik Cuevas |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIII, 178 p. 53 illus.) |
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Collana |
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Intelligent Systems Reference Library, , 1868-4408 ; ; 117 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Signal processing |
Artificial intelligence |
Computational Intelligence |
Signal, Speech and Image Processing |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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An introduction to machine learning -- Optimization -- Electromagnetism – Like Optimization Algorithm: An Introduction -- Digital image segmentation as an optimization problem -- Template matching using a physical inspired algorithm.-Detection of circular shapes in digital images -- A medical application: Blood cell segmentation by circle detection -- An EMO Improvement: Opposition-Based Electromagnetism-Like for Global Optimization. |
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Sommario/riassunto |
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This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has |
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been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing co. |
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