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  1. 2421

    Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design by Shinil Suh, Byung-Seo Kim, Jae Hee Chung

    Published 2015-09-01
    “…Therefore, this paper tries to propose novel research directions for designing smart residential environment for the elderly in terms of converging information technologies including cognitive sensor networks and architectural design. In this paper, we clarify the definition of smart home from the literatures and briefly surveys cognitive sensor network-based systems for smart elderly housing. …”
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    Territoires du productivisme, paysages altérés by Alessandra Marcon

    Published 2024-11-01
    “…Given that these alterations are complex in nature and interwoven within different scales, urban planning and landscape architecture need new tools and critical approaches to help us understand and reinterpret the complexity of these alterations. …”
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  11. 2431

    Crystalline-symmetry-protected Majorana modes in coupled quantum dots by Bradraj Pandey, Gonzalo Alvarez, Elbio Dagotto, Rui-Xing Zhang

    Published 2025-01-01
    “…We propose a minimalist architecture for achieving various crystalline-symmetry-protected Majorana modes in an array of coupled quantum dots. …”
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  12. 2432

    Global Shutter and Charge Binning With Quantum Dots Photodiode Arrays for NIR Imaging by Loic Baudoin, Arthur Arnaud, Sebastien Massenot, Pierre Magnan

    Published 2024-01-01
    “…We use this model to explore a different architecture collecting holes instead of electrons. This architecture allows to control the charge collection inside the CQD thin film through the electric field. …”
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    Generating Deeply-Engineered Technical Features for Basketball Video Understanding by Shaohua Fang, Guifeng Wang, Yongbin Li, Yue Yu, Jun Li

    Published 2025-01-01
    “…We engineer the technical features of gameplay through video analysis and introduce a behavioral analysis method using a multi-layer learning architecture. Our main contributions include: 1) an LSTM-based deep learning architecture for player action recognition and prediction; 2) a clustering-based algorithm for basketball court and line detection; and 3) a keyframe selection technique for basketball videos based on spatial-temporal scoring. …”
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