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1. |
Record Nr. |
UNISA996217776603316 |
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Titolo |
Small-Scale Robotics From Nano-to-Millimeter-Sized Robotic Systems and Applications [[electronic resource] ] : First International Workshop, microICRA 2013, Karlsruhe, Germany, May 6-10, 2013, Revised and Extended Papers / / edited by Igor Paprotny, Sarah Bergbreiter |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (X, 101 p. 84 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence ; ; 8336 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Special purpose computers |
Health informatics |
Nanotechnology |
Nanoscale science |
Nanoscience |
Nanostructures |
Computer science |
Artificial Intelligence |
Special Purpose and Application-Based Systems |
Health Informatics |
Nanotechnology and Microengineering |
Nanoscale Science and Technology |
Computer Science, general |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Small-Scale Robotics: An Introduction -- Tubular Micro-nano robots: Smart Design for Bio-related Applications -- Addressing of Micro-robot Teams and Non-contact Micro-manipulation -- Progress Toward Mobility in Micro fabricated Milli robots -- From Nano helices to Magnetically Actuated Micro drills: A Universal Platform for Some of the Smallest Untethered Micro robotic Systems for Low Reynolds Number |
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and Biological Environments -- Micro Stress Bots: Species Differentiation in Surface Micro machined Micro robots -- Towards Functional Mobile Magnetic Micro robots. |
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Sommario/riassunto |
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This book contains selected contributions from some of the most renowned researchers in the field of small-scale robotics, based in large part on invited presentations from the workshop “The Different Sizes of Small-Scale Robotics: from Nano-, to Millimeter-Sized Robotic Systems and Applications,” which was held in conjunction with the conjunction with the International Conference on Robotics and Automation (ICRA 2013), in May 2013 in Karlsruhe, Germany. With many potential applications in areas such as medicine, manufacturing, or search and rescue, small-scale robotics represent a new emerging frontier in robotics research. The aim of this book is to provide an insight to ongoing research and future directions in this novel, continuously evolving field, which lies at the intersection of engineering, computer science, material science, and biology. |
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2. |
Record Nr. |
UNINA9910484681803321 |
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Titolo |
Advanced Data Mining and Applications : 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings / / edited by Jinyan Li, Xue Li, Shuliang Wang, Jianxin Li, Quan Z. Sheng |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XVI, 817 p. 280 illus.) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 10086 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data mining |
Information storage and retrieval systems |
Application software |
Database management |
Computer networks |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
Information Storage and Retrieval |
Computer and Information Systems Applications |
Database Management |
Computer Communication Networks |
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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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Sommario/riassunto |
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This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held in Gold Coast, Australia, in December 2016. The 70 papers presented in this volume were carefully reviewed and selected from 105 submissions. The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining. |
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