Showing 401 - 411 results of 411 for search 'Computer data storage', query time: 0.06s Refine Results
  1. 401

    Multi-dimensional scaling for space-time transformation to achieve sustainable planning and management of water resource under changing land use pattern by Mohd Sayeed Ul Hasan, Abhishek Kumar Rai, Abul Hasan Momin, Mohammad Amir Khan, Faisal M. Alfaisal, Shamshad Alam, Osamah J. Al-sareji, Ali Majdi

    Published 2025-01-01
    “…The multi-temporal spatial database includes land use (ESA-CCI), satellite-based gravity anomaly (GRACE/GRACE-FO), and well log (CGWB) adopted in this study for assessment of the impact of land use transition on groundwater depth, groundwater drought, and terrestrial water storage. The methodology includes the computation of land use transition, trend magnitude by Sen’s slope, Innovative Trend Analysis (ITA) for graphical visualization, clustering techniques employ to identify pattern & structure, and finally space-time transformation was assessed based on multi-dimensional scaling using Alternating Least Squares Scaling (ALSCAL). …”
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  2. 402

    Edge-cloud collaboration empowered immersive Web3D by XU Yanan, ZHAO Guidan, FENG Daquan, SHI Wenzhe, LU Ping

    Published 2024-09-01
    “…How to ensure seamless communication, computing, and storage services has become a core challenge in dealing with the dynamic changes in network environments, limitations in browser-based rendering capabilities, and the impending surge in interactive demands. …”
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  3. 403

    The privacy protection of the internet of vehicles resource transaction details based on blockchain. by Jing Chen, Tao Li, Min Huang

    Published 2025-01-01
    “…Vehicle-road collaboration relies on the collaborative computing and storage resources of the vehicle on-board unit (OBU), which are usually limited. …”
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  4. 404
  5. 405

    Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks by Yang Yang, Rui Lyu, Zhipeng Gao, Lanlan Rui, Yu Yan

    Published 2023-01-01
    “…Edge networking brings computation and data storage as close to the point of request as possible. …”
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    Article
  6. 406

    Designing innovation ecosystems for biointelligent value creation – Identification of promising technology fields and pioneer countries by Michael Rentschler, Silja Hohmann, Philipp Heuermann, Livio Valenti, Robert Miehe

    Published 2025-03-01
    “…The result is the definition and delineation of 16 enabling technology fields, which divide the concept of biointelligent value creation into technological subject areas. Based on the data collected, our analysis results in a systematic derivation of five enabling technology fields assessed as particularly promising in connection with biointelligent value creation: smart greenhouses and smart farming, biorefineries and bioreactors, bio-computing and data storage, omics, as well as biosensors and bioactuators. …”
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  7. 407
  8. 408

    Resource-Efficient Acoustic Full-Waveform Inversion via Dual-Branch Physics-Informed RNN with Scale Decomposition by Cai Lu, Jijun Liu, Liyuan Qu, Jianbo Gao, Hanpeng Cai, Jiandong Liang

    Published 2025-01-01
    “…However, these approaches demand considerable storage to capture spatiotemporal seismic wave propagation fields and their gradient information, often exceeding the memory capabilities of current GPU resources during field data processing. …”
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  9. 409

    A first attempt to model global hydrology at hyper-resolution by B. van Jaarsveld, N. Wanders, E. H. Sutanudjaja, J. Hoch, J. Hoch, B. Droppers, J. Janzing, J. Janzing, J. Janzing, R. L. P. H. van Beek, M. F. P. Bierkens, M. F. P. Bierkens

    Published 2025-01-01
    “…To achieve this, two key limitations are addressed, namely the lack of high-resolution meteorological data and insufficient representation of lateral movement of snow and ice. …”
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  10. 410
  11. 411

    Modeling Lake Titicaca's water balance: the dominant roles of precipitation and evaporation by N. Lima-Quispe, D. Ruelland, A. Rabatel, W. Lavado-Casimiro, T. Condom

    Published 2025-02-01
    “…The proposed modeling framework could be replicated in other poorly gauged large lakes because it is relatively easy to implement, requires few data, and is computationally inexpensive.</p>…”
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