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Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Artificial neural networks (ANN) have been successfully used in the last years to identify patterns in astronomical images. The use of ANN in the field of asteroid dynamics has been, however, so far somewhat limited. In this work we used for the firs
This book is especially concerned with fundamental theoretical and experimental aspects of relativistic beam physics, recoil, and cooling phenomena in atomic and ion beams and traps, with emphasis on coherence and collective effects. The central them
Machine Learning (ML) is the branch of computer science that studies computer algorithms that can learn from data. It is mainly divided into supervised learning, where the computer is presented with examples of entries, and the goal is to learn a gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec2e62cd20b5fba9e370d5027eaba377
http://arxiv.org/abs/2110.06611
http://arxiv.org/abs/2110.06611
Akademický článek
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Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2022-05-01T08:15:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-08-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Coor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7909a78090cc9ec0f71e8cb97e5367c3
Autor:
Valerio Carruba, W. Barletta
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2019-10-06T16:58:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-01-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) National Aeronautics and Space Administration National Research Council The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bce09d08981fa75de266fdf258cfadce
Autor:
Valerio Carruba, A. Lucchini, Alvaro Luiz Fazenda, W. Barletta, P. Furlaneto, B. Martins, Safwan Aljbaae
Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2020-12-12T02:49:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-11-15 California Institute of Technology Jet Propulsion Laboratory National Aeronautics and Space Administration National Research Council Fundaç
Autor:
W. Barletta, F. Parmigiani
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 844:A1-A2
Akademický článek
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Publikováno v:
Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films. 13:581-584
PEP II is being built as a higher luminosity electron–positron collider with asymmetric beams of 9 and 3.1 GeV, having maximum currents of 3.0 A. Based on our previous work on the National Synchrotron Light Source (NSLS) vacuum ultraviolet beamline