Results 71 to 80 of about 4,033,844 (218)
Data assimilation and its applications [PDF]
Proceedings of the National Academy of Sciences, 2000 In data assimilation, one prepares the grid data as the best possible estimate of the true initial state of a considered system by merging various measurements irregularly distributed in space and time, with a prior knowledge of the state given by a numerical model. Because it may improve forecasting or modeling and increase physical understanding
B, Wang, X, Zou, J, Zhu
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Replication Data for: Nonlinear finite-difference time-domain method for exciton-polaritons: Application to saltatory conduction in polariton neurons [PDF]
This data set contains all necessary data to reproduce figures 1b, 3, 4 ...
Seet, Nathan W. E. +4 more
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Journal of Advanced TransportationWith the rapid development of transport technology and the increasing complexity of traffic patterns, integrating multiple data sources for traffic flow prediction has become crucial to overcome the defects of a single data source.
Lei Huang, Jianxin Qin, Tao Wu
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Addressing data veracity in big data applications
2014 IEEE International Conference on Big Data (Big Data), 2014 Big data applications such as in smart electric grids, transportation, and remote environment monitoring involve geographically dispersed sensors that periodically send back information to central nodes. In many cases, data from sensors is not available at central nodes at a frequency that is required for real-time modeling and decision-making.
Saima Aman +2 more
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Big Data Promise, Application and Pitfalls [PDF]
, 2019 Big data and 'the package' of the digital society is de-mystified in this important book. A group of international experts frame the debates around big data and analyse its impact in different sectors in practice.
Pedersen, John S, Wilkinson, Adrian
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Generation driven understanding of localized 3D scenes with 3D diffusion model
Scientific ReportsIn recent years, diffusion models have been widely used in 3D scenes-related work. However, the existing diffusion models primarily focus on the global structure and are constrained by predefined dataset categories, which are unable to accurately resolve
Hao Sun +7 more
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Summertime sea-ice prediction in the Weddell Sea improved by sea-ice thickness initialization
Scientific Reports, 2021 Skillful sea-ice prediction in the Antarctic Ocean remains a big challenge due to paucity of sea-ice observations and insufficient representation of sea-ice processes in climate models.
Yushi Morioka +4 more
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Monitoring of Wheat Scab Using the Specific Spectral Index from ASD Hyperspectral Dataset
Journal of Spectroscopy, 2019 It is highly important to accurately monitor wheat scab and provide technical guidance for the crop pests and diseases. In this study, relevant analysis was performed among spectral reflectance, first-derivate data, and the disease severity data through ...
Linsheng Huang +5 more
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SEDSTAT: a computer program for processing and presentation of grain size using sieving data [PDF]
, 1996 SEDSTAT is an interactive computer program for processing and presentation of grain size data. The program utilizes graphic and moment methods for the calculation of grain size statistical parameters.
AI-bassam, A.M., Awad, H.S.
core
Data set for "Application of Online Booking Data to Hotel Revenue Management" [PDF]
, 2018 This is a dataset used in Section 3.2 "Estimation" of "Application of Online Booking Data to Hotel Revenue Management". The dataset is created based on raw data by the procedure described in Section 3.1 "Data Set"
Saito, T (via Mendeley Data)
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