Showing 21 - 40 results of 219 for search '"Pure Data"', query time: 0.26s Refine Results
  1. 21
  2. 22
  3. 23

    O impacto dos sintetizadores no processo composicional by Felipe de Almeida Ribeiro

    Published 2018-04-01
    Subjects: “…prática de patching em Max e Pure Data.…”
    Get full text
    Article
  4. 24

    METACITY DATATOWN / by Maas, Winy, writer of added text 1959- 520383, Sigler, Jennifer, editor 383227, MVRDV (Firm) 520380

    Published c199
    “…Abandoning topography,ideology, representation, and context, the authors resort to pure data to discover what agenda for architecture and urbanism a numerical approach could provoke.…”
    text
  5. 25
  6. 26

    Patch Pd para Nih-Nik de Chico Mello by Gabriel Montechiari e Silva

    Published 2014-12-01
    “…This Pure Data patch was commissioned by the Ensemble Nih-Nik for the premier of the homonymous 1993 piece by Brazilian composer Chico Mello at the SiMN 2014 + matrix14 on tour festival (Curitiba, Brazil).…”
    Get full text
    Article
  7. 27

    Deep Content-Dependent 3-D Convolutional Sparse Coding for Hyperspectral Image Denoising by Haitao Yin, Hao Chen

    Published 2024-01-01
    “…Despite the significant successes in hyperspectral image (HSI) denoising, pure data-driven HSI denoising networks still suffer from limited understanding of inference. …”
    Get full text
    Article
  8. 28

    HYBRID DEEP FAULT DETECTION AND ISOLATION: COMBINING DEEP NEURAL NETWORKS AND SYSTEM PERFORMANCE MODELS by Manuel Arias Chao, Chetan Kulkarni, Kai Goebel, Olga Fink

    Published 2019-12-01
    “…The proposed method is able to outperform pure data-driven solutions, particularly for systems with a high variability of operating conditions. …”
    Article
  9. 29

    Early recognition of risk of critical adverse events based on deep neural decision gradient boosting by Yu-wen Chen, Lin-quan Xu, Bin Yi

    Published 2023-01-01
    “…Besides, the statistical prediction method based on pure data type do not make use of the patient's diagnostic text information and cannot identify comprehensive risk factor. …”
    Get full text
    Article
  10. 30

    Synthesizing an Angklung by Anis Haron, Norfarizah Mohd Bakhir, Low Kok On

    Published 2018
    “…We have developed an additive synthesis Pure Data implementation for synthesizing the Angklung, which produces a tone that is very similar to the original instrument.…”
    Get full text
    Article
  11. 31

    A pattern-discovery-based outcome predictive tool integrated with clinical data repository: design and a case study on contrast related acute kidney injury by Yuxi Li, Tak-Ming Chan, Jinghan Feng, Liang Tao, Jie Jiang, Bo Zheng, Yong Huo, Jianping Li

    Published 2022-04-01
    “…We measured 4 existing models, whose areas under curves (AUCs) of receiver operating characteristics curve for the test dataset were 0.70 (Mehran's), 0.72 (Chen's), 0.67 (Gao's) and 0.62 (AGEF), respectively. A pure data-driven machine learning method achieves AUC of 0.72 (Easy Ensemble). …”
    Get full text
    Article
  12. 32

    What Pd Can't Teach; What It Can by Joshua Hudelson

    Published 2021-11-01
    “…Pure Data's long appeal is partly owed to its visual layout and intuitive mode of use. …”
    Get full text
    Article
  13. 33

    Advances in Emerging Memory Technologies: From Data Storage to Artificial Intelligence by Gabriel Molas, Etienne Nowak

    Published 2021-11-01
    “…Finally, we discuss how the rise of artificial intelligence and bio-inspired circuits offers an opportunity for emerging memory technology and shifts the application from pure data storage to storage and computing tasks, and also enlarges the range of required specifications at the device level due to the exponential number of new systems and architectures.…”
    Get full text
    Article
  14. 34

    On the semantics of big Earth observation data for land classification by Gilberto Câmara

    Published 2020-06-01
    “…The approach taken is to consider pure data-driven methods to be insufficient to represent continuous change. …”
    Get full text
    Article
  15. 35

    A new methodology for fault detection in rolling element bearings using singular spectrum analysis by Bugharbee Hussein Al, Trendafilova Irina

    Published 2018-01-01
    “…This paper proposes a vibration-based methodology for fault detection in rolling element bearings, which is based on pure data analysis via singular spectrum method. The method suggests building a baseline space from feature vectors made of the signals measured in the healthy/baseline bearing condition. …”
    Get full text
    Article
  16. 36

    Evolutionary Sound Synthesis Controlled by Gestural Data by Jose Fornari, Mariana Shellard, Jônatas Manzolli

    Published 2011-05-01
    “…The resulting computer output is generated by an interactive system implemented in Pure Data (PD). This system uses principles of Evolutionary Computation (EC), which yields the generation of a synthetic adaptive population of sound objects. …”
    Get full text
    Article
  17. 37

    Predicting and Reconstructing Aerosol–Cloud–Precipitation Interactions with Physics-Informed Neural Networks by Alice V. Hu, Zbigniew J. Kabala

    Published 2023-12-01
    “…The pure data-driven approach results in the ANN becoming a “black box” that limits physical interpretability. …”
    Get full text
    Article
  18. 38
  19. 39

    Salt and cardiovascular disease in PURE: A large sample size cannot make up for erroneous estimations by Monique Tan, Feng J He, Graham A MacGregor

    Published 2018-11-01
    “…However, Mente et al.’s re-analysis of the PURE data has several severe methodological problems, including erroneous estimations of salt intake from a single spot urine using the problematic Kawasaki formula. …”
    Get full text
    Article
  20. 40

    The Interpretive Turn: History, Memory, and Storage in Qualitative Research by Véronique Mottier

    Published 2005-05-01
    “…This article reviews the field of qualitative inquiry, identifying three conceptual breaks: the "orthodox consensus" of positivism which conceives the social world as a collection of external facts and attempts to eliminate bias and subjectivity; post-positivist philosophy of science, which concedes that objective observation of pure data is impossible but nevertheless tries to establish criteria of "good" research practice; and the interpretive turn, which rehabilitates subjectivity and views data collection as a mutual construction of meaning where the researcher is engaged in "double hermeneutics" (GIDDENS). …”
    Get full text
    Article