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For comparison, the control model has also been evaluated against several data-driven schemes [18].
Data streaming by swarming over peer-to-peer (P2P) overlay networks has attracted much attention in recent years and initially the swarming solution is based on data-driven schemes.
Alternatively an ANN can be trained using location-specific measurements and used for forecasting, (as done in Charhate et al. 2007) such an approach based entirely on data-driven schemes has not received wide acceptance from the user community who traditionally believes in the physics-based approach.
The GLEaMviz simulation engine uses a stochastic metapopulation approach [ 17, 2- 22, 16] that considers data-driven schemes for the short-range and long-range mobility of individuals at the inter-population level, coupled with coarse-grained techniques to describe the infection dynamics within each subpopulation [ 6, 14].
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Thus, the proposed data-driven scheme is efficient and economic.
In this study, a synthetic data-driven scheme is proposed to promote flying object detection algorithms.
The simulation results show the effectiveness of the applied data-driven scheme.
It was therefore thought worthy to see if supplementation of the numerical model by a data-driven scheme can be beneficial in making site-specific current predictions.
Within the data-driven scheme, the manually detected pixel coordinates of sequential stereo images are recorded and classified in terms of landing experiments.
In this study, a synthetic data-driven scheme is developed and presented for target detection algorithm design, implementation, testing, evaluation and parameter tuning.
Comparing our proposed request-driven scheme with an existing data-driven scheme using computer simulation, we find that our request-driven scheme incurs much lower control overhead while providing comparable or better efficiency in data delivery.
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