Measuring Brazil from Space: big data and artificial intelligence technologies

被引:1
|
作者
Ferreira, Karine Reis [1 ]
de Queiroz, Gilberto Ribeiro [1 ]
机构
[1] Inst Nacl Pesquisas Espaciais INPE, Sao Jose Dos Campos, SP, Brazil
来源
ATOZ-NOVAS PRATICAS EM INFORMACAO E CONHECIMENTO | 2021年 / 10卷 / 03期
关键词
Big data; Artificial intelligence; Technological innovation; Data cube; Brazil Data Cube; ANALYSIS READY DATA;
D O I
10.5380/atoz.v10i3.81966
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Dr. Karine Reis Ferreira and Dr. Gilberto Ribeiro de Queiroz from Instituto Nacional de Pesquisas Espaciais (INPE) answers questions about big data technology and artificial intelligence, specialy in the context of contexto of Brazil Data Cube project.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Roadmap on artificial intelligence and big data techniques for superconductivity
    Yazdani-Asrami, Mohammad
    Song, Wenjuan
    Morandi, Antonio
    De Carne, Giovanni
    Murta-Pina, Joao
    Pronto, Anabela
    Oliveira, Roberto
    Grilli, Francesco
    Pardo, Enric
    Parizh, Michael
    Shen, Boyang
    Coombs, Tim
    Salmi, Tiina
    Wu, Di
    Coatanea, Eric
    Moseley, Dominic A.
    Badcock, Rodney A.
    Zhang, Mengjie
    Marinozzi, Vittorio
    Tran, Nhan
    Wielgosz, Maciej
    Skoczen, Andrzej
    Tzelepis, Dimitrios
    Meliopoulos, Sakis
    Vilhena, Nuno
    Sotelo, Guilherme
    Jiang, Zhenan
    Grosse, Veit
    Bagni, Tommaso
    Mauro, Diego
    Senatore, Carmine
    Mankevich, Alexey
    Amelichev, Vadim
    Samoilenkov, Sergey
    Yoon, Tiem Leong
    Wang, Yao
    Camata, Renato P.
    Chen, Cheng-Chien
    Madureira, Ana Maria
    Abraham, Ajith
    SUPERCONDUCTOR SCIENCE & TECHNOLOGY, 2023, 36 (04)
  • [22] Big Data and Artificial Intelligence Modeling for Drug Discovery
    Zhu, Hao
    ANNUAL REVIEW OF PHARMACOLOGY AND TOXICOLOGY, VOL 60, 2020, 60 : 573 - 589
  • [23] Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology
    van de Leur, Rutger R.
    Boonstra, Machteld J.
    Bagheri, Ayoub
    Roudijk, Rob W.
    Sammani, Arjan
    Taha, Karim
    Doevendans, Pieter A. F. M.
    van der Harst, Pim
    van Dam, Peter M.
    Hassink, Rutger J.
    van Es, Rene
    Asselbergs, Folkert W.
    ARRHYTHMIA & ELECTROPHYSIOLOGY REVIEW, 2020, 9 (03) : 146 - 154
  • [24] Study on the interaction between big data and artificial intelligence
    Li, Jin
    Ye, Ziwei
    Zhang, Caiming
    SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE, 2022, 39 (03) : 641 - 648
  • [25] Big Data of Food Science and Artificial Intelligence Technology
    Cui X.
    Li W.
    Gu C.
    Journal of Chinese Institute of Food Science and Technology, 2021, 21 (02) : 1 - 8
  • [26] Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation
    Thongprayoon, Charat
    Kaewput, Wisit
    Kovvuru, Karthik
    Hansrivijit, Panupong
    Kanduri, Swetha R.
    Bathini, Tarun
    Chewcharat, Api
    Leeaphorn, Napat
    Gonzalez-Suarez, Maria L.
    Cheungpasitporn, Wisit
    JOURNAL OF CLINICAL MEDICINE, 2020, 9 (04)
  • [27] Unlocking the Power of Artificial Intelligence and Big Data in Medicine
    Lovis, Christian
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2019, 21 (11)
  • [28] Big Data and artificial intelligence: Will they change our practice?
    Kedra, Joanna
    Gossec, Laure
    JOINT BONE SPINE, 2020, 87 (02) : 107 - 109
  • [29] An eXplainable Artificial Intelligence Methodology on Big Data Architecture
    La Gatta, Valerio
    Moscato, Vincenzo
    Postiglione, Marco
    Sperli, Giancarlo
    COGNITIVE COMPUTATION, 2024, 16 (05) : 2642 - 2659
  • [30] Edge artificial intelligence for big data: a systematic review
    Hemmati A.
    Raoufi P.
    Rahmani A.M.
    Neural Computing and Applications, 2024, 36 (19) : 11461 - 11494