Showing 101 - 108 results of 108 for search '"Computing platform"', query time: 0.05s Refine Results
  1. 101

    Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training by Shengjie Tang, Cheng Chen, Qi Qin, Xiaoping Liu

    Published 2024-01-01
    “…Photonic neural networks are emerging as promising computing platforms for artificial intelligence (AI). Particularly, integrated photonic unitary neural networks (IPUNNs) are capable of mitigating gradient vanishing/explosion problems when deeper neural networks are constructed. …”
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  2. 102

    An open data collection of 3D tool and equipment models for neonatology by Serena Bardelli, Gianpaolo Coro, Rosa T. Scaramuzzo, Massimiliano Ciantelli, Armando Cuttano

    Published 2025-03-01
    “…We used free-to-use photogrammetry and structure-from-motion software and computational platform for 3D object reconstruction to digitalize the physical clinical instruments typically used during maternal and newborn care. …”
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  3. 103

    Virtual Reality Design and Realization of Interactive Garden Landscape by Xuanfeng Zhang, Song Yan, QuanQi

    Published 2021-01-01
    “…In this paper, we study the implementation method of virtual landscape gardening system and establish a virtual environment based on the ancient city of Yangcheng. On the computer platform, we study and realize a virtual roaming system of medium complexity with more complete roaming functions. …”
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  4. 104

    Association of autistic personality traits with the EEG scores in non-clinical subjects during the facial video viewing by A. N. Savostyanov, D. A. Kuleshov, D. I. Klemeshova, M. S. Vlasov, A. E. Saprygin

    Published 2025-01-01
    “…A software information module of the experimental computer platform “EEG_Self-Construct” was developed and tested in the framework of this study. …”
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  5. 105

    Career intervention program to promote academic adjustment and success in higher education by Célia Sampaio, Célia Sampaio, Catarina Luzia de Carvalho, Maria do Céu Taveira, Maria do Céu Taveira, Ana Daniela Silva, Ana Daniela Silva

    Published 2025-01-01
    “…This intervention was based on and used a computer platform developed within the framework of the SUnStar project. …”
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  6. 106

    Hyperactive Behavior Screening and Its Influencing Factors in Preschool Children Based on a Computer Cloud Platform by YIN Xiaona, SHEN Longbin, WANG Nan, ZHANG Jinyu, WU Jianbo, QIU Shuangyan, LEI Haiyan, CHEN Zhuoming

    Published 2024-02-01
    “…ObjectiveTo investigate the current situation of hyperactive behavior and related influencing factors in preschool children aged 4-5 years in Longhua District, Shenzhen, based on the intelligent active screening of computer cloud platform, with a view to realizing early screening of hyperactive behavior in preschool children.MethodsUsing the computer platform of Jingyun, a survey was conducted on 59,564 preschool children, aged 4-5 years, from 239 kindergartens in 6 neighborhoods in Longhua District, Shenzhen, who were just enrolled in the fall of 2019. …”
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  7. 107

    THE SOLANUM TUBEROSUM KNOWLEDGE BASE: THE SECTION ON MOLECULAR-GENETIC REGULATION OF METABOLIC PATHWAYS by T. V. Ivanisenko, O. V. Saik, P. S. Demenkov, V. K. Khlestkin, E. K. Khlestkina, N A. Kolchanov, V. А. Ivanisenko

    Published 2018-03-01
    “…SOLANUM TUBEROSUM is a computer platform for complex intellectual processing of large data bodies, including (1) automatic analysis of scientific publications and databases for extraction of information on genetics, markers, breeding, diagnostics, protection and storage technologies for potato, (2) formalized representation of extracted information in the knowledge base, (3) user access to these data, (4) analysis and visualization of query results. …”
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  8. 108

    Comparing Deep Learning models for mapping rice cultivation area in Bhutan using high-resolution satellite imagery by Biplov Bhandari, Timothy Mayer

    Published 2025-01-01
    “…Two Deep Learning approaches, point-based (DNN) and patch-based (U-Net), models were used in conjunction with cloud-computing platforms. Four different models per Deep Learning approaches (DNN and U-Net) were trained: (1) Red, Green, Blue, and Near-Infrared (RGBN) channels from Planet, (2) RGBN and Elevation data (RGBNE), (3) RGBN and Sentinel-1 data (RGBNS), and (4) RGBN with Elevation and Sentinel-1 data (RGBNES). …”
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