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1. |
Record Nr. |
UNINA9910450424403321 |
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Autore |
Krishna Swamy K. S |
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Titolo |
Dust in the universe [[electronic resource] ] : similarities and differences / / K S Krishna Swamy |
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Pubbl/distr/stampa |
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Singapore ; ; London, : World Scientific, 2005 |
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ISBN |
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1-281-88078-7 |
9786611880781 |
981-256-766-6 |
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Descrizione fisica |
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1 online resource (266 p.) |
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Collana |
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World Scientific series in astronomy and astrophysics ; ; v. 7 |
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Disciplina |
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Soggetti |
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Cosmic dust |
Interstellar matter |
Electronic books. |
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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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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface; Contents; Chapter 1. General Introduction; Chapter 2. Laboratory Studies; Chapter 3. Interstellar Dust; Chapter 4. Cometary Dust; Chapter 5. Interplanetary Dust; Chapter 6. Circumstellar Dust; Chapter 7. Extragalactic Dust; Chapter 8. Epilogue; Appendix A H-R Diagram; Appendix B Stellar Evolution; Appendix C Nucleosynthesis; Appendix D Acronyms; Index |
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Sommario/riassunto |
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The study of dust in the universe is an exciting area in current astronomy. Dust formed during an earlier epoch could be different from that formed at a later time, but the nature and composition of dust is not presently understood in its entirety. The comprehensive study presented in this book provides a much needed critical analysis of different types of dust in the universe. The information derived from presolar grains from comets, meteorites and interplanetary dust particles as well as the relevant laboratory studies are discussed. This should help in our goal of understanding the evolutio |
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2. |
Record Nr. |
UNINA9910427713403321 |
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Titolo |
Artificial Intelligence in Medicine : 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, Minneapolis, MN, USA, August 25–28, 2020, Proceedings / / edited by Martin Michalowski, Robert Moskovitch |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIX, 499 p. 167 illus., 105 illus. in color.) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 12299 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Social sciences - Data processing |
Education - Data processing |
Computer networks |
Database management |
Data mining |
Artificial Intelligence |
Computer Application in Social and Behavioral Sciences |
Computers and Education |
Computer Communication Networks |
Database Management |
Data Mining and Knowledge Discovery |
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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 contenuto |
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Artificial Intelligence. - Medicine -- Health -- Deep Learning; -- Natural Language Processing -- Predictive Modeling -- Image Processing -- Unsupervised Learning -- Data Analysis -- Clinical Practice Guidelines -- Information Retrieval -- Bioinformatics. |
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Sommario/riassunto |
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The LNAI 12299 constitutes the papers of the 18th International Conference on Artificial Intelligence in Medicine, AIME 2020, which will be held online in August 2020. The 42 full papers presented together with 1short papers in this volume were carefully reviewed and selected |
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from a total of 103 submissions. The AIME 2020 goals were to present and consolidate the international state of the art of AI in biomedical research from the perspectives of theory, methodology, systems, and applications. |
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